[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

WO2016189603A1 - Operation optimization assistance system and operation optimization assistance method - Google Patents

Operation optimization assistance system and operation optimization assistance method Download PDF

Info

Publication number
WO2016189603A1
WO2016189603A1 PCT/JP2015/064830 JP2015064830W WO2016189603A1 WO 2016189603 A1 WO2016189603 A1 WO 2016189603A1 JP 2015064830 W JP2015064830 W JP 2015064830W WO 2016189603 A1 WO2016189603 A1 WO 2016189603A1
Authority
WO
WIPO (PCT)
Prior art keywords
production
machine
risk
plan
countermeasure
Prior art date
Application number
PCT/JP2015/064830
Other languages
French (fr)
Japanese (ja)
Inventor
角谷　有司
野口　純司
眞見 山崎
藤城　孝宏
Original Assignee
株式会社日立製作所
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 株式会社日立製作所 filed Critical 株式会社日立製作所
Priority to JP2017520080A priority Critical patent/JP6553720B2/en
Priority to PCT/JP2015/064830 priority patent/WO2016189603A1/en
Publication of WO2016189603A1 publication Critical patent/WO2016189603A1/en

Links

Images

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Definitions

  • the present invention relates to an operation optimization support system and an operation optimization support method, and is suitable for application to an operation optimization support system and an operation optimization support method that support machine operation optimization at the time of detection of a machine failure sign. is there.
  • the present invention has been made in view of the above points, and is an operation optimization support system and operation optimization capable of presenting countermeasures against failure signs detected based on production / operation plans and machine operation risks. It is intended to propose a support method.
  • a machine a production / operation management apparatus that manages production / operation of the machine, a production / operation planning apparatus that plans production / operation of the machine, A maintenance management device that manages operating states and operational risks, wherein the maintenance management device detects a failure sign of the machine, and the production / operation management device manages the production / operation planning device.
  • an operation optimization support system that creates a countermeasure plan for a failure sign detected by the maintenance management device using the operation plan and the operation risk managed by the maintenance management device.
  • a machine a production / operation management apparatus that manages production / operation of the machine, a production / operation planning apparatus that plans production / operation of the machine,
  • An operation optimization support method in an operation optimization support system having a maintenance management device for managing an operation state and an operation risk, wherein the maintenance management device detects a failure sign of the machine,
  • the operation management device uses the production / operation plan managed by the production / operation planning device and the operation risk managed by the maintenance management device to create a countermeasure plan for the failure sign detected by the maintenance management device.
  • the operation optimization support method characterized by including a step.
  • the present invention it is possible to present a countermeasure against a failure sign detected based on a production / operation plan and a machine operation risk, thereby reducing the failure risk of the target device.
  • FIG. 1 shows the structural example of the operation optimization assistance system concerning the 1st Embodiment of this invention. It is a figure which illustrates schematic structure of the production and operation management apparatus concerning the embodiment. It is a figure which illustrates schematic structure of the production / operation plan apparatus concerning the embodiment. It is a figure which illustrates schematic structure of the maintenance management apparatus concerning the embodiment. It is a figure which shows the structural example of the production / operation condition management table concerning the embodiment. It is a figure which shows the structural example of the countermeasure candidate management table concerning the embodiment. It is a figure which shows the structural example of the production / operation capability management table concerning the embodiment. It is a figure which shows the structural example of the production / operation plan management table concerning the embodiment.
  • FIG. 1 It is a figure which shows the example of presentation of the countermeasure plan concerning the embodiment. It is a figure which illustrates schematic structure of the quality assurance apparatus concerning the 2nd Embodiment of this invention. It is a figure which shows the structural example of the FMEA management table concerning the embodiment. It is a figure which shows the structural example of the sign corresponding
  • FIG. 1 is a diagram illustrating a configuration example of an operation optimization support system according to the present embodiment.
  • the operation optimization support system includes machines E001, E002, and E003 that execute production and operation, a production and operation management device A001 that manages production and operation of the machine, and a production and operation planning device that plans production and operation of the machine.
  • These devices can transmit / receive information to / from each other via the network N001. it can.
  • the quality assurance device A003 will be described in detail in the second embodiment.
  • the maintenance management device A003 detects a failure sign of the machine E001. Then, the production / operation management device A001 creates a countermeasure plan for the failure sign by using the production / operation plan managed by the production / operation planning device A002 and the machine operation risk managed by the maintenance management device A003, to the user. Present.
  • FIG. 2 is a diagram illustrating a schematic configuration of the production / operation management apparatus A001.
  • the production / operation management apparatus A001 includes a CPU 101, a memory 102, a storage device 103, a user interface 104, a communication interface 105, a production / operation condition management unit 111, and a countermeasure candidate management unit. 112, a countermeasure plan creation unit 113, and a countermeasure execution unit 114, which are designed to be able to transmit and receive each other via the internal bus 100.
  • the CPU 101 is a central processing unit that performs various numerical calculations, information processing, device control, and the like.
  • the memory 102 is a semiconductor storage device such as a RAM and a ROM that can be directly read and written by the CPU 101.
  • the storage device 103 is a hard disk, magnetic tape, flash memory, or the like that stores data and programs in the computer.
  • the user interface 104 is a device such as a display, a mouse, or a keyboard for outputting a processing result to the user and receiving a user instruction and reflecting it on each component of the production / operation management apparatus A001.
  • the communication interface 105 is a device for controlling transmission / reception of data via the network N001 of each component of the production / operation management device A001.
  • the communication interface 105 performs authentication processing with the other party to establish a communication path, and controls such as disconnecting the communication path after completion of the process or when there is no response from the other party even after a predetermined time has elapsed. I do.
  • the production / operation condition management unit 111 is a device that registers the production / operation conditions stored in the memory 102 or the storage device 103 in the production / operation condition management table T130 and performs processing such as updating. Details of the production / operation condition management table T130 will be described later.
  • the countermeasure candidate management unit 112 is an apparatus that registers countermeasure candidates stored in the memory 102 or the storage device 103 in the countermeasure candidate management table T140 and performs processing such as updating. Details of the countermeasure candidate management table T140 will be described later.
  • the countermeasure plan creation unit 113 includes a production / operation condition (obtained from the production / operation condition management unit 111), a countermeasure candidate (obtained from the countermeasure candidate management unit 112), and a production stored in the memory 102 or the storage device 103.
  • the measure execution unit 114 is a device that executes a measure selected from the measure plan (obtained from the measure plan creation unit 113) stored in the memory 102 or the storage device 103.
  • each device may execute processing alone or each device. May comprise only a program, and the CPU 101 may read the program into the memory 102 and execute it.
  • FIG. 3 is a diagram illustrating a schematic configuration of the production / operation planning apparatus A002.
  • the production / operation planning apparatus A002 includes a CPU 201, a memory 202, a storage device 203, a user interface 204, a communication interface 205, a production / operation capability management unit 211, and a production / operation plan.
  • a management unit 212 and a production / operation plan creation unit 213 are provided, and are designed to be able to transmit and receive each other via the internal bus 200.
  • the production / operation capability management unit 211 is a device that registers the production / operation capability stored in the memory 202 or the storage device 203 in the production / operation capability management table T230 and performs processing such as updating. Details of the production / operation capacity management table T230 will be described later.
  • the production / operation plan management unit 212 is a device that registers the production / operation plan stored in the memory 202 or the storage device 203 in the production / operation plan management table T240 and performs processing such as updating. Details of the production / operation plan management table T240 will be described later.
  • the production / operation plan creation unit 213 includes the production / operation conditions (obtained from the production / operation management device A001) stored in the memory 202 or the storage device 203, and the production / operation capability (from the production / operation capability management unit 211). Acquisition) and a production / operation plan (obtained from the production / operation plan management unit 212), a production / operation plan is created and stored in the memory 202 or the storage device 203.
  • each device may execute processing alone, or each device may be a program.
  • the CPU 201 may read the program into the memory 202 and execute it.
  • FIG. 4 is a diagram illustrating a schematic configuration of the maintenance management apparatus A003.
  • the maintenance management device A003 includes a CPU 301, a memory 302, a storage device 303, a user interface 304, a communication interface 305, an operation risk constant management unit 311, an operation risk management unit 312, and an operation risk calculation. 313 and a failure sign detection unit 314, which are designed to be able to transmit and receive each other via the internal bus 300.
  • the CPU 301, the memory 302, the storage device 303, the user interface 304, and the communication interface 305, which are general-purpose components in the maintenance management device A003, are the CPU 101 of the production / operation management device A001 shown in FIG. Since the memory 102, the storage device 103, the user interface 104, and the communication interface 105 have the same functions, detailed descriptions thereof are omitted.
  • the operation risk constant management unit 311 stores operation risk constants such as a time-dependent deterioration risk, a failure predictor risk, and a risk threshold stored in the memory 302 or the storage device 303, a deterioration deterioration risk management table T330, a failure predictor risk management table T340.
  • This is an apparatus that registers in an operation risk constant management table such as the operation risk threshold management table T350 and performs processing such as update. Details of the temporal deterioration risk management table T330, the failure predictor risk management table T340, and the operation risk threshold management table T350 will be described later.
  • the operation risk management unit 312 is a device that registers an operation risk stored in the memory 302 or the storage device 303 in the operation risk management table T360 and performs processing such as updating. Details of the operation risk management table T360 will be described later.
  • the operation risk calculation unit 313 includes a production / operation plan (obtained from the production / operation management device A001 or the production / operation planning device A002) stored in the memory 302 or the storage device 303, an aging deterioration risk, and a failure predictor risk.
  • This is a device that calculates an operation risk using an operation risk constant such as a maintenance guideline risk and stores it in the memory 302 or the storage device 303.
  • the failure sign detection unit 314 is a device that stores failure sign information (created by the failure sign detection unit 314 or acquired from the machine E001) in the memory 302 or the storage device 303.
  • the operation risk constant management unit 311, the operation risk management unit 312, the operation risk calculation unit 313, and the failure sign detection unit 314 may each execute processing alone, or each device. May comprise only a program, and the CPU 301 may read the program into the memory 302 and execute it.
  • FIG. 5 is a diagram showing a configuration example of the production / operation condition management table T130.
  • the production / operation condition management table T130 is a list of production / operation conditions under which the current machine managed by the production / operation management apparatus A001 operates as described in the explanation of FIG.
  • the production / operation condition management table T130 includes a machine column 131 storing machine identifiers, temperature, pressure, speed, acceleration, deceleration (brake), route, vehicle currently selected by the machine. It includes a production / operation condition column 132 for storing an identifier of production / operation conditions such as a configuration, and a product condition column 133 for storing an identifier of a product currently produced by the machine.
  • FIG. 6 is a diagram showing a configuration example of the countermeasure candidate management table T140.
  • the countermeasure candidate management table T140 is a list of candidate countermeasures that can be implemented at the time of failure sign detection managed by the production / operation management apparatus A001, as described in the explanation of FIG.
  • the countermeasure candidate management table T140 includes a countermeasure candidate column 141 for storing countermeasure contents, an additional number of days column 142 for storing time required for implementing countermeasures, and an additional storage for storing expenses required for implementing countermeasures.
  • the cost column 143 is configured.
  • the additional time column 142 and the additional cost column 143 may be a mathematical expression using other information such as a machine, failure sign information, and a date as a variable, an identifier representing an acquisition destination, or the like.
  • FIG. 7 is a diagram showing a configuration example of the production / operation capacity management table T230.
  • the production / operation capacity management table T230 is a list of the production / operation capacity of the machine managed by the production / operation planning apparatus A002 as described in the explanation of FIG.
  • the production / operation capacity management table T230 includes a machine column 231 for storing machine identifiers, temperature, pressure, speed, acceleration, deceleration (brake), route, vehicle configuration, etc. selected by the machine.
  • the machine E001 produces the product G001 with the capacity “10” under the production / operation condition B111
  • the machine E002 produces the product G001 with the capacity “8” under the production / operation condition B211.
  • the production of the machine E001 is high in terms of production.
  • the machine E001 produces the product G001 with the capacity “6” under the production / operation condition B112
  • the capacity changes by changing the production / operation conditions.
  • the machine E001 produces the product G002 with the capacity “8” under the production / operation condition B121, it can be seen that another product can be produced by changing the production / operation conditions.
  • the value in the capability column 234 may be a mathematical expression using other information such as production / operation conditions and operation time as a variable, an identifier representing an acquisition destination, or the like.
  • FIG. 8 is a diagram showing a configuration example of the production / operation plan management table T240.
  • the production / operation plan management table T240 is a list of production / operation plans for each product managed by the production / operation plan apparatus A002 as described in the explanation of FIG.
  • the production / operation plan management table T240 includes a product column 241 for storing product identifiers, a remaining amount column 242 for storing the remaining production amount up to the product production target, The remaining time column 243 for storing the remaining time is used.
  • the product G001 should produce the remaining “80” in the remaining “15” time
  • the product G002 should produce the remaining “150” in the remaining “30” time.
  • the remaining amount column 242 and the remaining time column 243 may be mathematical expressions using other information such as market information and date as variables, identifiers representing acquisition sources, and the like.
  • FIG. 9 is a diagram showing a configuration example of the temporal deterioration risk management table T330.
  • the aging risk management table T330 is a list of aging risks of machines managed by the maintenance management device A003 as described in the explanation of FIG.
  • the time degradation risk management table T330 includes a machine column 331 for storing machine identifiers, temperature, pressure, speed, acceleration, deceleration (brake), route, vehicle configuration, and the like selected by the machine.
  • the machine E001 has a production / operation condition B111 and the operation risk increase coefficient of the component P001 is “15”, and the machine E002 has an operation risk increase coefficient “10” in the production / operation condition B211.
  • the increase in operating risk of the machine E001 is large.
  • the operation risk increase coefficient of the part P001 is “3” in the production / operation condition B112, it can be seen that the increase in the operation risk is changed by changing the production / operation conditions.
  • the operation risk increase coefficient of the part P002 is “10” in the production / operation condition B121, it can be understood that the machine E001 changes the part whose operation risk increases by changing the production / operation condition.
  • the value in the coefficient column 334 may be a mathematical expression using other information such as production / operation conditions and operating time as a variable, an identifier representing an acquisition destination, or the like.
  • FIG. 10 is a diagram showing a configuration example of the failure sign risk management table T340.
  • the failure sign risk management table T340 is a list of machine failure sign risks managed by the maintenance management apparatus A003 as described in the description of FIG.
  • the failure sign risk management table T340 includes a failure sign column 341 that stores a failure sign identifier, a risk degree column 342 that stores an operation risk that increases when a failure sign is detected, and the like.
  • the operation risk increases by “1000” when the failure sign D001 is detected.
  • the value of the risk degree column 342 is absolutely large such as a mathematical value using other information as a variable, such as an operation risk at the time of detection, a part identifier, or a constant value or infinity that does not depend on the operation risk at that time.
  • An identifier representing a value or an acquisition destination may be used.
  • FIG. 11 is a diagram showing a configuration example of the operation risk threshold management table T350.
  • the operation risk threshold value management table T350 is a list of operation risk threshold values of the machines managed by the maintenance management apparatus A003, as described in the explanation of FIG.
  • the operation risk threshold management table T350 includes a machine column 351 for storing machine identifiers, a component column 352 for storing identifiers of machine maintenance target parts, and operation risk thresholds serving as maintenance guidelines.
  • the threshold value column 353 is stored.
  • the operation risk threshold value of the part P011 of the machine E001 is “2000”.
  • the value of the threshold value column 353 may be a mathematical expression using other information such as an operation time as a variable, an identifier representing an acquisition destination, or the like.
  • FIG. 12 is a diagram showing a configuration example of the operation risk management table T360.
  • the operation risk management table T360 is a list of current operation risks of the machines managed by the maintenance management apparatus A003 as described in the explanation of FIG.
  • the operation risk management table T360 includes a machine column 361 for storing machine identifiers, a component column 362 for storing identifiers of machine maintenance target components, and a risk degree column for storing current operation risks of components. 363 or the like.
  • the current operation risk of the part P011 of the machine E001 is “935”.
  • FIG. 13 is a flowchart showing an example of a processing procedure of countermeasure proposal presentation processing in the present embodiment.
  • Each step described below is realized by a program executed by each device constituting the operation optimization support system shown in FIG.
  • These programs are composed of codes for performing various operations described below. This premise is the same for other processing procedures.
  • the failure sign detection unit 314 of the maintenance management device A003 diagnoses a failure sign (S001). Specifically, the failure sign detection unit 314 detects a failure sign of a machine and stores information on the machine and the failure sign in the memory 302 or the storage device 303.
  • the maintenance sign device A003, the machine E001, or another device may be used to create the failure predictor information.
  • the machine E001 collects operation information (S011).
  • the operation information is not only production / operation information such as operation time, parts used, production / operation conditions, but also information indicating symptoms such as vibration, sound, images, and machines and parts such as maintenance history. It should include information on work on
  • the machine E001 transmits the operation information to the maintenance management apparatus A003 (S012).
  • the failure sign detection unit 314 of the maintenance management device A003 receives the operation information via the communication interface 305 and stores it in the memory 302 or the storage device 303 (S013).
  • the stored operation information includes the machine “E001”, the part “P011”, the production / operation condition “B111”, and the elapsed time “1”.
  • the failure sign detection unit 314 of the maintenance management apparatus A003 diagnoses the failure sign using the operation information stored in the memory 302 or the storage device 303.
  • the diagnosis of the failure sign may be a diagnosis using current information such as threshold detection or a diagnosis using past information and current information such as abnormality detection using clustering.
  • the failure sign detection unit 314 of the maintenance management apparatus A003 determines whether there is a failure sign (S014) and determines whether there is a failure sign (S015). If a failure sign D001 is detected in step S015, the failure sign detection unit 314 of the maintenance management device A003 stores the failure sign information in the memory 302 or the storage device 303 (S016). Here, it is assumed that the failure sign “D001” is included in the stored failure sign information.
  • the operation risk calculation unit 313 of the maintenance management device A003 updates the operation risk (S002).
  • the operation risk calculation unit 313 includes the current operation risk of the machine acquired from the operation risk management unit 312 based on the machine information stored in the memory 302 or the storage device 303, and the memory 302 or storage.
  • a new operation risk of the machine is calculated and stored in the memory 302 or the storage device 303 using the increase amount of the operation risk acquired from the operation risk constant management unit 311 based on the information on the failure sign stored in the device 303.
  • the operation risk management unit 312 updates the operation risk management table T360 based on the new operation risk of the machine stored in the memory 302 or the storage device 303.
  • the operation risk calculation unit 313 of the maintenance management apparatus A003 acquires the current value of the operation risk from the operation risk management table T360 via the operation risk management unit 312 (S021).
  • the current operation risk “935” of the machine (FIG. 12). Record 364) is acquired.
  • the operation risk calculation unit 313 of the maintenance management apparatus A003 calculates an increase in the risk of deterioration over time using the deterioration deterioration management table T330 (S022).
  • the degradation risk increasing coefficient “15” (record in FIG. 9) based on the machine “E001”, the part “P011”, and the production / operation condition “B111” stored in the memory 302 or the storage device 303. 335) is obtained, and the risk increase “15” of deterioration with time is calculated by multiplication with the elapsed time “1” stored in the memory 302 or the storage device 303.
  • the operation risk calculation unit 313 of the maintenance management apparatus A003 determines whether there is a failure sign (S023).
  • the failure sign information includes a failure sign identifier “D001”.
  • the operation risk calculation unit 313 of the maintenance management device A003 refers to the failure sign risk management table T340 and calculates the risk increase of the failure sign (S024).
  • the risk increase “1000” of the sign of failure (record 343 in FIG. 10) is acquired.
  • the operation risk calculation unit 313 of the maintenance management apparatus A003 calculates a new operation risk, and updates the operation risk management table T360 via the operation risk management unit 312.
  • the current operating risk “935” of the machine is added to the risk increase “15” of deterioration over time and the risk increase “1000” of the predictive failure, and a new operating risk “1950” is calculated to calculate the operating risk.
  • Update (S025) the current operating risk “935” of the machine is added to the risk increase “15” of deterioration over time and the risk increase “1000” of the predictive failure, and a new operating risk “1950” is calculated to calculate the operating risk. Update (S025).
  • the failure sign detection unit 314 of the maintenance management device A 003 transmits the machine and failure sign stored in the memory 302 or the storage device 303 to the production / operation management device A 001 via the communication interface 305. Is transmitted (S003). Then, the countermeasure plan creation unit 113 of the production / operation management apparatus A001 receives information on the machine and the failure sign via the communication interface 105 and stores the information in the memory 102 or the storage device 103.
  • the failure sign detection unit 314 of the maintenance management device A003 stores the machine “E001”, the part “P011”, the production / operation condition “B111”, and the failure sign “D001” stored in the memory 302 or the storage device 303. Assume that the data is transmitted to the production / operation management apparatus A001. Further, it is assumed that the measure plan creation unit 113 of the production / operation management apparatus A001 stores the information received from the maintenance management apparatus A003 in the memory 102 or the storage device 103.
  • the countermeasure candidate management unit 112 of the production / operation management apparatus A001 acquires countermeasure candidate information from the countermeasure candidate management table T140 based on the machine 102 and the failure predictor information stored in the memory 102 or the storage device 103. Then, it is stored in the memory 102 or the storage device 103 (S004).
  • the countermeasure candidate management unit 112 of the production / operation management apparatus A001 receives “as is”, “condition change”, “product change”, “product” as the countermeasure candidates (column 141 in FIG. 6) from the countermeasure candidate management unit 112.
  • “Consignment”, “Machine replacement”, “Parts replacement”, the additional time for the countermeasure candidate (column 142 in FIG. 6) and the additional cost of the countermeasure candidate (column 143 in FIG. 6) are acquired and these are the candidate countermeasure Is stored in the memory 102 or the storage device 103.
  • the countermeasure plan creation unit 113 of the production / operation management apparatus A001 calculates the plan of each countermeasure candidate included in the acquired countermeasure candidate information to the production / operation planning apparatus A002 via the communication interface 105.
  • Information on each countermeasure candidate and the current production / operation conditions acquired from the production / operation condition management unit 111 are transmitted, and a plan for each countermeasure candidate is requested (S005).
  • the production / operation plan creation unit 213 of the production / operation planning apparatus A002 receives the information on each countermeasure candidate and the current production / operation conditions via the communication interface 205, and stores them in the memory 202 or the storage device 203. To do.
  • the measure creation unit 113 of the production / operation management apparatus A001 includes the machine “E001”, the part “P011”, the production / operation condition “B111” stored in the memory 102 or the storage device 103, Combinations of candidate countermeasures (column 141 in FIG. 6) and additional time (column 142 in FIG. 6), machines acquired from the production / operation condition management unit 111 (column 131 in FIG. 5), production / operation conditions (in FIG. 5) Assume that a combination of a column 132) and a product (column 133 in FIG. 5) is transmitted and a plan for each countermeasure candidate is requested. Further, it is assumed that the production / operation plan creation unit 213 of the production / operation planning apparatus A002 stores the information received from the production / operation management apparatus A001 in the memory 202 or the storage device 203.
  • the production / operation plan creation unit 213 of the production / operation planning apparatus A002 formulates a countermeasure plan (S006).
  • the production / operation plan creation unit 213 includes information on countermeasure candidates stored in the memory 202 or the storage device 203, current production / operation conditions stored in the memory 202 or the storage device 203, and production.
  • a plan of candidate countermeasures is calculated, and a feasible plan is taken Formulate.
  • the production / operation plan creation unit 213 transmits the formulated countermeasures to the production / operation management apparatus A001 via the communication interface 205. Then, the countermeasure plan creation unit 113 of the production / operation management apparatus A001 receives each countermeasure plan via the communication interface 105 and stores it in the memory 102 or the storage device 103.
  • step S006 the countermeasure drafting process in step S006 will be described.
  • the production / operation plan creation unit 213 of the production / operation planning apparatus A002 acquires the countermeasure candidates stored in the memory 202 or the storage device 203 one by one (S061). The following steps S062 to S064 are repeated until there are no countermeasure candidates.
  • the production / operation plan creation unit 213 acquires the machine / condition / capacity (S062), calculates the production time (S063), determines whether the calculated production time is realizable (S064), and can be realized. If so, it is recorded as a measure (S065).
  • step S062 the production / operation plan creation unit 213 determines the current machine “E001” and the production / operation condition “B111” of the product “G001” stored in the memory 202 or the storage device 203 (FIG. 5).
  • the production / operation capability “10” (record 235 in FIG. 7) is acquired from the production / operation capability management table T230 via the production / operation capability management unit 211.
  • step S063 based on the product “G001”, the remaining production amount “80” (record 244 in FIG. 8) is acquired from the production / operation plan management table via the production / operation plan management unit 212. Then, the necessary production time “8” is calculated by dividing by the production / operation capacity “10” acquired in step S062.
  • step S 064 “0” (record 144 in FIG. 6), which is the additional time for the countermeasure candidate “as is”, is added to calculate the production target achievement time “8” of the product G001. Since this is less than the remaining production time “15” (record 244 in FIG. 8) of the product G001, it is determined that this is feasible.
  • step S065 the countermeasure candidate “as is” is stored in the memory 202 or the storage device 203 as a countermeasure plan together with the production time “8” and the achievement time “8”.
  • step S062 the production / operation plan creation unit 213 determines that the current machine “E001” and the production / operation condition “B111” of the product “G001” stored in the memory 202 or the storage device 203 (FIG. 5). Based on the record 134), another production / operation condition “B112” in which the product “G001” can be produced by the machine “E001” from the production / operation capability management table T230 via the production / operation capability management unit 211. The production / operation capability “6” (record 236 in FIG. 7) is acquired.
  • step S063 based on the product “G001”, the remaining production amount “80” (record 244 in FIG. 8) is acquired from the production / operation plan management table via the production / operation plan management unit 212. Then, the necessary production time “14” is calculated by dividing by the production / operation capacity “6” acquired in step S062. Here, the time is calculated by rounding up the fractional part, but fraction processing may be performed by other methods.
  • step S 064 “1” (record 145 in FIG. 6), which is the additional time of the countermeasure candidate “condition change”, is added to calculate the production target achievement time “15” of the product G001. Since this is less than the remaining production time “15” (record 244 in FIG. 8) of the product G001, it is determined that this is feasible.
  • step S065 the countermeasure candidate “condition change” is stored as a countermeasure 202 together with the production / operation condition “B112”, the production time “14”, and the achievement time “15”. Alternatively, it is stored in the storage device 203.
  • step S062 the production / operation plan creation unit 213 determines that the current machine “E001” and the production / operation condition “B111” of the product “G001” stored in the memory 202 or the storage device 203 (FIG. 5). Record 134), the current machine “E002” of the product “G002”, and production / operation conditions “B221” (record 135 in FIG.
  • step S063 based on the product “G001”, the remaining production amount “80” (record 244 in FIG. 8) is acquired from the production / operation plan management table via the production / operation plan management unit 212. Then, the necessary production time “10” is calculated by dividing by the production / operation capacity “8” of the product G001 acquired in step S062. Further, based on the product “G002”, the remaining production amount “150” (record 244 in FIG. 8) is acquired from the production / operation plan management table via the production / operation plan management unit 212, and step S062 is performed. The necessary production time “19” is calculated by dividing by the production / operation capacity “8” of the product G002 acquired in step (b). Here, the time is calculated by rounding up the fractional part, but fraction processing may be performed by other methods.
  • step S 064 “1” (record 146 in FIG. 6), which is the additional time of the countermeasure candidate “product change”, is added to achieve the production target achievement time “11” of the product G001 and the product goal of the product G002.
  • Time “20” is calculated. This is less than the remaining production time “15” (record 244 in FIG. 8) of the product G001 and less than the remaining production time “30” (record 245 in FIG. 8) of the product G002.
  • step S 065 the countermeasure candidate “product replacement” is the product “G001”, the machine “E002”, the production / operation condition “B211”, the production time “10”, and the achievement time. “11”, product “G002”, machine “E001”, production / operation condition “B121”, production time “19”, and achievement time “20” are stored in the memory 202 or the storage device 203 as countermeasures.
  • step S062 the production / operation plan creation unit 213 determines that the current machine “E001” and the production / operation condition “B111” of the product “G001” stored in the memory 202 or the storage device 203 (FIG. 5). Record 134), the current machine “E002” of the product “G002”, and production / operation conditions “B221” (record 135 in FIG. 5), production / operation through the production / operation capacity management unit 211 The machine “E002” to which the product “G001” can be commissioned, the production / operation condition “B211”, and the production / operation capability “8” (record 238 in FIG.
  • step S063 based on the product “G001”, the remaining production amount “80” (record 244 in FIG. 8) is acquired from the production / operation plan management table via the production / operation plan management unit 212. Then, the necessary production time “20” is calculated by dividing by the production / operation capacity “4” acquired in step S062.
  • step S 064 “1” (record 147 in FIG. 6) as the additional time for the countermeasure candidate “product consignment” is added, and “21” is added as the time required to achieve the production target of the product G001. calculate. Since this is longer than the remaining production time “15” of the product G001 (record 244 in FIG. 8), it is determined that it cannot be realized.
  • step S062 the production / operation plan creation unit 213 determines that the current machine “E001” and the production / operation condition “B111” of the product “G001” stored in the memory 202 or the storage device 203 (FIG. 5).
  • Production / operation capacity management via the production / operation capacity management unit 211 based on the record 134), the machine “E003”, the production / operation condition “ ⁇ ”, and the product “ ⁇ ” (record 136 in FIG. 5).
  • the machine “E003” that can be exchanged for the machine “E001”, the production / operation condition “B311”, and the production / operation capability “8” (record 239 in FIG. 7) are acquired from the table T230.
  • step S063 based on the product “G001”, the remaining production amount “80” (record 244 in FIG. 8) is acquired from the production / operation plan management table via the production / operation plan management unit 212. Then, the necessary production time “10” is calculated by dividing by the production / operation capacity “8” acquired in step S062.
  • step S 064 “3” (record 148 in FIG. 6), which is the additional time of the countermeasure candidate “machine replacement”, is added, and “13” is set as the time required to achieve the production target of the product G001. calculate. Since this is less than the remaining production time “15” (record 244 in FIG. 8) of the product G001, it is determined that this is feasible.
  • step S065 the countermeasure candidate “machine replacement” is stored in the memory 202 or the storage device 203 as a countermeasure plan together with the machine “E003”, the production / operation condition “B311”, the production time “10”, and the achievement time “13”. To do.
  • step S062 the production / operation plan creation unit 213 determines that the current machine “E001” and the production / operation condition “B111” of the product “G001” stored in the memory 202 or the storage device 203 (FIG. 5).
  • the production / operation capability “10” (record 235 in FIG. 7) is acquired from the production / operation capability management table T230 via the production / operation capability management unit 211.
  • step S063 based on the product “G001”, the remaining production amount “80” (record 244 in FIG. 8) is acquired from the production / operation plan management table via the production / operation plan management unit 212. Then, the necessary production time “8” is calculated by dividing by the production / operation capacity “10” acquired in step S062.
  • step S 064 “10” (record 149 in FIG. 6), which is the additional time for the countermeasure candidate “part replacement”, is added, and “18” is set as the time required to achieve the production target of the product G001. calculate. Since this is longer than the remaining production time “15” of the product G001 (record 244 in FIG. 8), it is determined that it cannot be realized.
  • the production of the product G001 may be outsourced to other vendors as a countermeasure candidate, so that it can be distributedly produced by a plurality of machines.
  • the countermeasure plan creation unit 113 of the production / operation management apparatus A001 performs communication in order to calculate the operation risk of each countermeasure candidate included in the countermeasure candidate information stored in the memory 102 or the storage device 103.
  • the plan of each countermeasure candidate stored in the memory 102 or the storage device 103 is transmitted to the maintenance management apparatus A003 via the interface 105, and an operation risk calculation of each countermeasure candidate is requested (S007).
  • the operation risk calculation unit 313 of the maintenance management apparatus A003 receives information on each countermeasure candidate and its plan via the communication interface 305, and stores them in the memory 302 or the storage device 303.
  • the operation risk calculation unit 313 of the maintenance management apparatus A003 calculates the operation risk of the countermeasure plan (S008).
  • the operation risk calculation unit 313 includes information on countermeasure candidates stored in the memory 302 or the storage device 303, a countermeasure plan stored in the memory 302 or the storage device 303, and the operation risk constant management unit 311. Based on the acquired operation risk constant and the current operation risk acquired from the operation risk management unit 312, the operation risk of the countermeasure plan is calculated.
  • the operation risk calculation unit 313 transmits the calculated operation risk of each countermeasure plan to the production / operation management apparatus A001 via the communication interface 305.
  • the measure plan creation unit 113 of the production / operation management apparatus A001 receives the operation risk of each measure plan via the communication interface 105 and stores it in the memory 102 or the storage device 103.
  • step S008 the operation risk calculation process in step S008 will be described.
  • the operation risk calculation unit 313 of the maintenance management device A003 obtains countermeasures stored in the memory 302 or the storage device 303 one by one (S081). The following steps S082 to S083 are repeated until there are no countermeasures.
  • the operation risk calculation unit 313 calculates an increase in the risk of deterioration with time (S082), and records the operation risk (S083).
  • step S082 based on the machine “E001” and the production / operation condition “B111”, the operation risk increase coefficient “of the component P011 from the time-dependent deterioration risk management table T330 via the operation risk constant management unit 311. 15 ”(record 335 in FIG. 9) is obtained and multiplied by the production time“ 8 ”to calculate a risk increase“ 120 ”of deterioration with time.
  • step S083 the risk increase “120” is added to the current operation risk “1950” of the component P011 calculated in step S002, thereby calculating the operation risk “2070” and the countermeasure plan “as is”. It is stored in the memory 302 or the storage device 303.
  • step S082 based on the machine “E001” and the production / operation condition “B112”, the operation risk increase coefficient “of the part P011 is determined from the time-dependent deterioration risk management table T330 via the operation risk constant management unit 311. 3 ”(record 335 in FIG. 9) is obtained and multiplied by the production time“ 14 ”to calculate the risk increase“ 42 ”of deterioration with time.
  • step S083 the risk increase “42” is added to the current operation risk “1950” of the component P011 calculated in step S002, thereby calculating the operation risk “1992” and the countermeasure proposal “condition change”. At the same time, it is stored in the memory 302 or the storage device 303.
  • step S082 based on the machine “E001” and the production / operation condition “B121”, the operation risk increase coefficient of the component P011 is calculated from the time-dependent deterioration risk management table T330 via the operation risk constant management unit 311. can not get.
  • the operation risk of the component P011 does not increase.
  • the operation risk may be calculated with a policy of increasing without using parts.
  • step S083 the current operation risk “1950” of the part P011 is stored in the memory 302 or the storage device 303 together with the countermeasure proposal “product change”.
  • step S082 based on the machine “E001” and the production / operation condition “ ⁇ ”, the operation risk increase coefficient of the component P011 is calculated from the time-dependent deterioration risk management table T330 via the operation risk constant management unit 311. can not get.
  • the operation risk of the component P011 does not increase.
  • the operation risk may be calculated with a policy of increasing without operating the machine.
  • step S083 the current operation risk “1950” of the part P011 is stored in the memory 302 or the storage device 303 together with the countermeasure plan “machine replacement”.
  • step S ⁇ b> 009 the countermeasure plan creation unit 113 of the production / operation management apparatus A ⁇ b> 001 receives the failure sign and the countermeasure plan information stored in the memory 102 or the storage device 103 via the user interface 104. Present to the user. Here, it may be modified using a risk threshold that can be acquired from the operation risk constant management unit 311 of the maintenance management apparatus A003.
  • a list of countermeasures (display item C002 in FIG. 18) is displayed together with information on the detected failure signs (display item C001 in FIG. 18).
  • the countermeasure proposal displays the time required to achieve the production target calculated in steps S005 to S008 and the operation risk when the target of the component P011 of the machine E001 that is the target of the detected failure sign is achieved. Further, the additional cost of the countermeasure plan (column 143 in FIG. 6) is also displayed.
  • the operation risk threshold of the part P011 of the machine E001 that can be acquired from the operation risk constant management unit 311 of the maintenance management apparatus A003 is “2000” (record 354 in FIG. 11)
  • this is included in the operation risk of the countermeasure plan. If there is an excess, the background is colored (display item C003 in FIG. 18). Further, when there is a change in the operation risk of the countermeasure plan from the current operation risk (part P011 is not used), the text is italicized (display item C004 in FIG. 18).
  • the user selects countermeasures by rearranging the items (time, risk, cost) that are important in the operation status at that time (display items C007, C008, C009 in FIG. 18), etc. (FIG. 18).
  • Display item C010) and instructing execution of the countermeasure (display item C011 in FIG. 18)
  • the countermeasure execution unit 114 of the production / operation management apparatus A001 executes the selected countermeasure.
  • the production / operation plan managed by the production / operation planning apparatus A002 may only be reflected, instructions may be automatically sent to the machine, other systems such as a parts ordering system, maintenance personnel call system, etc. It may be linked with other company systems.
  • the production / operation management apparatus A001 that manages the production / operation of the machine E001 and the like, and the production / operation planning apparatus that plans the production / operation of the machine
  • the operation optimization support system having A002 and the maintenance management device A003 that manages the operation state and operation risk of the machine, the maintenance management device A003 detects a failure sign of the machine, and the production / operation management device A001 Using the production / operation plan managed by the production / operation planning apparatus A002 and the operation risk managed by the maintenance / management apparatus A003, a countermeasure plan for the failure sign detected by the maintenance / management apparatus A003 is created.
  • a failure sign of a machine is detected, in order to optimize the machine operation, it is possible to support the user's decision making according to the items emphasized in the operation status at that time.
  • FMEA Feilure Mode and Effects Analysis
  • each device constituting the operation optimization support system will be described.
  • the configurations of the production / operation management device A001, the production / operation planning device A002, and the maintenance management device A003 are the same as those in the first embodiment, a detailed description thereof will be omitted.
  • FIG. 19 is a diagram illustrating a schematic configuration of the quality assurance device A004.
  • the quality assurance device A004 includes a CPU 401, a memory 402, a storage device 403, a user interface 404, a communication interface 405, an FMEA management unit 411, and an indication correspondence management unit 412.
  • a CPU 401 CPU 401
  • a memory 402 volatile and non-volatile memory
  • a storage device 403 volatile and non-volatile memory
  • a user interface 404 includes a keyboard 401, a keyboard, a printer, and the like.
  • the CPU 401 the memory 402, the storage device 403, the user interface 404, and the communication interface 405, which are general-purpose components in the quality assurance device A004, the CPU 101 of the production / operation management device A001 shown in FIG. Since the memory 102, the storage device 103, the user interface 104, and the communication interface 105 have the same functions, detailed descriptions thereof are omitted.
  • the FMEA management unit 411 registers FMEA items indicating possible failure modes and their causes, effects, and importance stored in the memory 402 or the storage device 403 in the FMEA management table T430, and performs processing such as updating. It is a device to perform. Details of the FMEA management table T430 will be described later.
  • the sign correspondence management unit 412 is a device that registers the correspondence relationship between the sign stored in the memory 402 or the storage device 403 and the FMEA item in the sign correspondence management table T440 and performs processing such as update. Details of the sign correspondence management table T440 will be described later.
  • FIG. 20 is a diagram illustrating a configuration example of the FMEA management table T430.
  • the FMEA management table T430 is a list of FMEAs indicating possible failure modes managed by the FMEA management unit 411 as described in the description of FIG.
  • the FMEA management table T430 includes an item column 431 that stores an identifier of the FMEA item, a mode column 432 that stores a failure mode indicated by the FMEA item, and a cause column that stores the cause of the failure mode indicated by the FMEA item. 433, an influence column 434 that stores the influence of the failure mode indicated by the FMEA item, and an importance column 435 that stores the importance of the failure mode indicated by the FMEA item.
  • FMEA item F001 is machine E001, component P011, failure mode “damage” is caused by “deterioration”, influence is “stop”, and importance is “27” machine E002.
  • FIG. 21 is a diagram showing a configuration example of the sign correspondence management table T440.
  • the sign correspondence management table T440 is a list of correspondence relationships between failure signs and FMEA items managed by the sign correspondence management unit 412 as described in the description of FIG.
  • the predictive correspondence management table T440 includes a failure predictor column 441 for storing an identifier of a failure predictor to be diagnosed, a machine column 442 for storing an identifier of a machine related to the failure predictor, and a part related to the failure predictor.
  • the component column 443 stores an identifier
  • the item column 444 stores an identifier of an FMEA item corresponding to a failure sign, and the like.
  • the machine E001, the part P011, and the failure sign D001 correspond to the FMEA item F001.
  • the failure sign “-” indicates that it is common to all the failure signs.
  • step S009 of FIG. 13 the countermeasure plan creation unit 113 of the production / operation management apparatus A001 sends the failure sign and the countermeasure plan information stored in the memory 102 or the storage device 103 to the user via the user interface 104.
  • the countermeasure plan creation unit 113 of the production / operation management apparatus A001 sends the failure sign and the countermeasure plan information stored in the memory 102 or the storage device 103 to the user via the user interface 104.
  • display related FMEA items When presenting, display related FMEA items.
  • the measure creation unit 113 of the production / operation management apparatus A001 sends the machine “E001” stored in the memory 102 or the storage device 103 to the quality assurance apparatus A004 via the communication interface 105. ”, The part“ P011 ”, and the failure sign“ D001 ”are transmitted, and the FMEA item is requested (S191).
  • the sign correspondence management unit 412 of the quality assurance device A004 receives the machine “E001”, the part “P011”, and the failure sign “D001” via the communication interface 405, and stores them in the memory 402 or the storage device 403. .
  • the predictive response management unit 412 of the quality assurance device A004 uses the predictive response management table T440 based on the machine “E001”, the part “P011”, and the failure predictor “D001” stored in the memory 402 or the storage device 403.
  • the FMEA item “F001” (record 445 in FIG. 21) and the FMEA item “F002” (record 446 in FIG. 21) are retrieved and acquired (S192).
  • the predictive response management unit 412 of the quality assurance device A004 associates the related information from the FMEA management table T430 via the FMEA management unit based on the FMEA item “F001” and the FMEA item “F002” acquired in step S192.
  • Information on the failure mode to be performed (record 436 and record 437 in FIG. 20) is acquired and transmitted to the production / operation management apparatus A001 via the communication interface 405 (S193).
  • the countermeasure plan creation unit 113 of the production / operation management apparatus A001 receives information regarding the failure mode of the FMEA item “F001” and the FMEA item “F002” via the communication interface 105, and the memory 102 or the storage device 103. To store.
  • the countermeasure plan creation unit 113 of the production / operation management apparatus A001 provides information on the failure mode of the FMEA item “F001” and the FMEA item “F002” stored in the memory 102 or the storage device 103 as a failure sign and a countermeasure plan. Is displayed on the screen together with the information (S194).
  • FIG. 23 is a diagram showing an example of a proposed measure. Since the display items of C001, C002, C003, C004, C005, C006, C007, C008, C009, C010, and C011 in FIG. 23 are the same as those in the first embodiment, detailed description thereof is omitted.
  • a countermeasure plan can be selected together with FMEA information, so that the user's decision making can be further facilitated.
  • FIG. 24 is a diagram illustrating a schematic configuration of the production / operation management apparatus A001.
  • the CPU 101, the memory 102, the storage device 103, the user interface 104, the communication interface 105, the production / operation condition management unit 111, the countermeasure candidate management unit 112, and the countermeasure execution unit 114 are described in the first embodiment. Detailed description will be omitted.
  • the strategy management unit 115 is a device that registers a strategy stored in the memory 102 or the storage device 103 in the strategy management table T150 and performs processing such as updating. Details of the strategy management table T150 will be described later.
  • the countermeasure plan creation unit 113 creates a countermeasure plan in the same manner as in the first embodiment, selects an optimum countermeasure plan from the prepared countermeasure plans according to the logic stored in the strategy management table T150, and stores the memory 102 or This is a device stored in the storage device 103.
  • FIG. 25 is a diagram showing a configuration example of the strategy management table T150.
  • the strategy management table T150 is a list of strategies managed by the strategy management unit 115 as described with reference to FIG.
  • the strategy management table T150 includes a strategy column 151 that stores a strategy identifier, a logic column 152 that stores logic for realizing the strategy, a selection column 153 that stores a selection state of the user, and the like. Is done.
  • step S009 of FIG. 13 the countermeasure plan creation unit 113 of the production / operation management apparatus A001 provides the user with the failure sign and the countermeasure plan information stored in the memory 102 or the storage device 103 via the user interface 104. When presenting, it presents based on the information of the strategy management table T150.
  • the measure plan creation unit 113 of the production / operation management apparatus A001 uses the strategy management unit to select the strategy “cost while suppressing risk” from the strategy management table T150 where the selected column is “ ⁇ ”. “Importance” and its logic “minimum additional cost below risk threshold” (record 154 in FIG. 25).
  • the countermeasure plan creation unit 113 of the production / operation management apparatus A001 selects a countermeasure plan that matches the logic “minimum additional cost below the risk threshold” from the countermeasure plans stored in the memory 102 or the storage device 103.
  • the risk threshold “2000” (record 354 in FIG. 11) of the machine “E001” and the part “P011” is acquired from the operation risk threshold management table T350 via the operation risk constant management unit 311 of the maintenance management apparatus A003. Therefore, if the operation risk is “2000” or less and the additional cost is minimum, the countermeasure proposal “condition change” is used.
  • FIG. 26 is a diagram showing an example of a proposed measure. Since the display items of C001, C002, C003, C004, C005, C006, C007, C008, C009, C010, and C011 are the same as those in the first embodiment, detailed description thereof is omitted.
  • the measure proposal “condition change” selected based on the information in the strategy management table T150 is displayed at the top (display item C201 in FIG. 26).
  • the currently selected strategy is also displayed (display item C202 in FIG. 26).
  • a countermeasure plan can be automatically selected according to the strategy selected by the user, so that the user's decision making can be made smoothly and accurately.
  • A001 Production / operation management device 111 Production / operation condition management unit 112
  • Countermeasure candidate management unit 113 Countermeasure plan creation unit 114
  • Countermeasure execution unit 115 Strategic management unit
  • A002 Production / operation planning device 211
  • Production / operation capacity management unit 212 Production / operation plan management Unit 213
  • Maintenance management device 311 Operation risk constant management unit 312
  • Failure sign detection unit A004
  • FMEA management unit 412 Predictive response management unit E001, E002, E003 machine

Landscapes

  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • General Factory Administration (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

Provided is an operation optimization assistance system having a machine, a production/operation management device for managing production/operation of the machine, a production/operation planning device for planning the production/operation of the machine, and a maintenance management device for managing a running state and a running risk of the machine, wherein the maintenance management device detects a failure presage of the machine, and the production/operation management device uses a production/operation plan managed by the production/operation planning device and the running risk managed by the maintenance management device to create a countermeasure against the failure presage detected by the maintenance management device.

Description

運行最適化支援システム及び運行最適化支援方法Operation optimization support system and operation optimization support method
　本発明は、運行最適化支援システム及び運行最適化支援方法に関し、機械の故障予兆検知時の機械運行最適化を支援する運行最適化支援システム及び運行最適化支援方法に適用して好適なるものである。 The present invention relates to an operation optimization support system and an operation optimization support method, and is suitable for application to an operation optimization support system and an operation optimization support method that support machine operation optimization at the time of detection of a machine failure sign. is there.
　従来から、対象機器の内部情報に基づいて、その対象機器が故障の予兆を示す状態（故障予兆状態）であるかを判別して、判別結果を通知することが行われている。例えば、特許文献１では、プリンタの内部情報に基づいてプリンタが故障予兆状態であるか否かを判別し、故障予兆状態であると判別した後におけるプリンタの故障リスクの大きさを判定する故障リスク判定処理を行い、その判定結果が報知される。これにより、その報知を受ける保守業者やユーザ等は、その時点でメンテナンスの緊急度がどの程度なのかを把握することができる。 Conventionally, based on internal information of a target device, it is determined whether or not the target device is in a state indicating a failure sign (failure sign state), and the determination result is notified. For example, in Patent Document 1, it is determined whether or not a printer is in a failure sign state based on internal information of the printer, and a failure risk for determining the magnitude of the printer failure risk after determining that the printer is in a failure sign state A determination process is performed, and the determination result is notified. Thereby, a maintenance contractor, a user, and the like who receive the notification can grasp the degree of urgency of maintenance at that time.
特開２０１０－９１８４０号公報JP 2010-91840 A
　しかし、上記特許文献１では、故障予兆検知の前後の機械の動作による違いを考慮していないため、故障リスクの大きさに基づいて、保守実施可否の意思決定を行うことはできるが、機械の生産条件や運行条件の変更に関する意思決定を行うことができないという問題があった。 However, in the above-mentioned Patent Document 1, since the difference due to the operation of the machine before and after the failure sign detection is not taken into consideration, the decision on whether to perform maintenance can be made based on the magnitude of the failure risk. There was a problem that it was not possible to make a decision regarding changes in production conditions and operation conditions.
　本発明は以上の点を考慮してなされたもので、生産・運行計画及び機械稼動リスクをもとに検知した故障予兆に対する対応策を提示することが可能な運行最適化支援システム及び運行最適化支援方法を提案しようとするものである。 The present invention has been made in view of the above points, and is an operation optimization support system and operation optimization capable of presenting countermeasures against failure signs detected based on production / operation plans and machine operation risks. It is intended to propose a support method.
　かかる課題を解決するために本発明においては、機械と、前記機械の生産・運行を管理する生産・運行管理装置と、前記機械の生産・運行を計画する生産・運行計画装置と、前記機械の稼動状態や稼動リスクを管理する保守管理装置と、を有し、前記保守管理装置が、前記機械の故障予兆を検知し、前記生産・運行管理装置が、前記生産・運行計画装置の管理する生産・運行計画、及び、前記保守管理装置の管理する稼動リスクを用いて、前記保守管理装置により検知された故障予兆に対する対策案を作成することを特徴とする、運行最適化支援システムが提供される。 In order to solve such a problem, in the present invention, a machine, a production / operation management apparatus that manages production / operation of the machine, a production / operation planning apparatus that plans production / operation of the machine, A maintenance management device that manages operating states and operational risks, wherein the maintenance management device detects a failure sign of the machine, and the production / operation management device manages the production / operation planning device. Provided is an operation optimization support system that creates a countermeasure plan for a failure sign detected by the maintenance management device using the operation plan and the operation risk managed by the maintenance management device. .
　かかる課題を解決するために本発明においては、機械と、前記機械の生産・運行を管理する生産・運行管理装置と、前記機械の生産・運行を計画する生産・運行計画装置と、前記機械の稼動状態や稼動リスクを管理する保守管理装置と、を有する運行最適化支援システムにおける運行最適化支援方法であって、前記保守管理装置が、前記機械の故障予兆を検知するステップと、前記生産・運行管理装置が、前記生産・運行計画装置の管理する生産・運行計画、及び、前記保守管理装置の管理する稼動リスクを用いて、前記保守管理装置により検知された故障予兆に対する対策案を作成するステップと、を含むことを特徴とする、運行最適化支援方法が提供される。 In order to solve such a problem, in the present invention, a machine, a production / operation management apparatus that manages production / operation of the machine, a production / operation planning apparatus that plans production / operation of the machine, An operation optimization support method in an operation optimization support system having a maintenance management device for managing an operation state and an operation risk, wherein the maintenance management device detects a failure sign of the machine, The operation management device uses the production / operation plan managed by the production / operation planning device and the operation risk managed by the maintenance management device to create a countermeasure plan for the failure sign detected by the maintenance management device. The operation optimization support method characterized by including a step.
　本発明によれば、生産・運行計画及び機械稼動リスクをもとに検知した故障予兆に対する対応策を提示して、対象機器の故障リスクを低減させることができる。 According to the present invention, it is possible to present a countermeasure against a failure sign detected based on a production / operation plan and a machine operation risk, thereby reducing the failure risk of the target device.
本発明の第１の実施形態にかかる運行最適化支援システムの構成例を示す図である。It is a figure which shows the structural example of the operation optimization assistance system concerning the 1st Embodiment of this invention. 同実施形態にかかる生産・運行管理装置の概略構成を例示する図である。It is a figure which illustrates schematic structure of the production and operation management apparatus concerning the embodiment. 同実施形態にかかる生産・運行計画装置の概略構成を例示する図である。It is a figure which illustrates schematic structure of the production / operation plan apparatus concerning the embodiment. 同実施形態にかかる保守管理装置の概略構成を例示する図である。It is a figure which illustrates schematic structure of the maintenance management apparatus concerning the embodiment. 同実施形態にかかる生産・運行条件管理テーブルの構成例を示す図である。It is a figure which shows the structural example of the production / operation condition management table concerning the embodiment. 同実施形態にかかる対策候補管理テーブルの構成例を示す図である。It is a figure which shows the structural example of the countermeasure candidate management table concerning the embodiment. 同実施形態にかかる生産・運行能力管理テーブルの構成例を示す図である。It is a figure which shows the structural example of the production / operation capability management table concerning the embodiment. 同実施形態にかかる生産・運行計画管理テーブルの構成例を示す図である。It is a figure which shows the structural example of the production / operation plan management table concerning the embodiment. 同実施形態にかかる経時劣化リスク管理テーブルの構成例を示す図である。It is a figure which shows the structural example of the time degradation risk management table concerning the embodiment. 同実施形態にかかる障予兆リスク管理テーブルの構成例を示す図である。It is a figure which shows the structural example of the failure sign risk management table concerning the embodiment. 同実施形態にかかる稼動リスク閾値管理テーブルの構成例を示す図である。It is a figure which shows the structural example of the operation risk threshold value management table concerning the embodiment. 同実施形態にかかる稼動リスク管理テーブルの構成例を示す図である。It is a figure which shows the structural example of the operation risk management table concerning the embodiment. 同実施形態にかかる対策案提示方法の処理手順例を示すフロー図である。It is a flowchart which shows the process sequence example of the countermeasure proposal presentation method concerning the embodiment. 同実施形態にかかる故障予兆診断の処理手順を示すフロー図である。It is a flowchart which shows the process sequence of the failure sign diagnosis concerning the embodiment. 同実施形態にかかる稼動リスク更新の処理手順を示すフロー図である。It is a flowchart which shows the process sequence of the operation risk update concerning the embodiment. 同実施形態にかかる対策案策定の処理手順を示すフロー図である。It is a flowchart which shows the process sequence of countermeasure plan formulation concerning the embodiment. 同実施形態にかかる稼動リスク計算の処理手順を示すフロー図である。It is a flowchart which shows the process sequence of the operation risk calculation concerning the embodiment. 同実施形態にかかる対策案の提示例を示す図である。It is a figure which shows the example of presentation of the countermeasure plan concerning the embodiment. 本発明の第２の実施形態にかかる品質保証装置の概略構成を例示する図である。It is a figure which illustrates schematic structure of the quality assurance apparatus concerning the 2nd Embodiment of this invention. 同実施形態にかかるＦＭＥＡ管理テーブルの構成例を示す図である。It is a figure which shows the structural example of the FMEA management table concerning the embodiment. 同実施形態にかかる予兆対応管理テーブルの構成例を示す図である。It is a figure which shows the structural example of the sign corresponding | compatible management table concerning the embodiment. 同実施形態にかかるＦＭＥＡ項目表示の処理手順を示すフロー図である。It is a flowchart which shows the process sequence of the FMEA item display concerning the embodiment. 同実施形態にかかる対策案の提示例を示す図である。It is a figure which shows the example of presentation of the countermeasure plan concerning the embodiment. 本発明の第３の実施形態にかかる生産・運行管理装置の概略構成を例示する図である。It is a figure which illustrates schematic structure of the production and operation management apparatus concerning the 3rd Embodiment of this invention. 同実施形態にかかる戦略管理テーブルの構成例を示す図である。It is a figure which shows the structural example of the strategy management table concerning the embodiment. 同実施形態にかかる対策案の提示例を示す図である。It is a figure which shows the example of presentation of the countermeasure plan concerning the embodiment.
　以下に本発明の実施形態について図面を用いて詳細に説明する。 Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.
（１）第１の実施の形態
（１－１）運行最適化支援システムの構成
　図１は、本実施の形態にかかる運行最適化支援システムの構成例を示す図である。運行最適化支援システムは、生産・運行を実行する機械Ｅ００１、Ｅ００２及びＥ００３と、機械の生産・運行を管理する生産・運行管理装置Ａ００１と、機械の生産・運行を計画する生産・運行計画装置Ａ００２と、機械の稼動状態を管理する保守管理装置Ａ００３と、機械故障時の影響を管理する品質保証装置Ａ００４とから構成され、これらの装置はネットワークＮ００１を介して相互に情報を送受信することができる。なお、品質保証装置Ａ００３は、第２の実施の形態で詳細に説明する。 (1) First Embodiment (1-1) Configuration of Operation Optimization Support System FIG. 1 is a diagram illustrating a configuration example of an operation optimization support system according to the present embodiment. The operation optimization support system includes machines E001, E002, and E003 that execute production and operation, a production and operation management device A001 that manages production and operation of the machine, and a production and operation planning device that plans production and operation of the machine. A002, a maintenance management device A003 for managing the operating state of the machine, and a quality assurance device A004 for managing the influence at the time of a machine failure. These devices can transmit / receive information to / from each other via the network N001. it can. The quality assurance device A003 will be described in detail in the second embodiment.
　本実施の形態では、機械Ｅ００１の故障予兆を保守管理装置Ａ００３が検知する。そして、生産・運行管理装置Ａ００１が、生産・運行計画装置Ａ００２が管理する生産・運行計画と、保守管理装置Ａ００３が管理する機械稼動リスクを利用して故障予兆に対する対策案を作成し、ユーザへ提示する。 In this embodiment, the maintenance management device A003 detects a failure sign of the machine E001. Then, the production / operation management device A001 creates a countermeasure plan for the failure sign by using the production / operation plan managed by the production / operation planning device A002 and the machine operation risk managed by the maintenance management device A003, to the user. Present.
　次に、本実施の形態にかかる運行最適化支援システムを構成する各装置の構成について説明する。 Next, the configuration of each device constituting the operation optimization support system according to the present embodiment will be described.
　図２は、生産・運行管理装置Ａ００１の概略構成を例示する図である。図２に示すように、生産・運行管理装置Ａ００１は、ＣＰＵ１０１と、メモリ１０２と、記憶装置１０３と、ユーザインターフェース１０４と、通信インターフェース１０５と、生産・運行条件管理部１１１と、対策候補管理部１１２と、対策案作成部１１３と、対策実行部１１４を備え、これらが内部バス１００を介して相互に送受信できるように設計されている。 FIG. 2 is a diagram illustrating a schematic configuration of the production / operation management apparatus A001. As shown in FIG. 2, the production / operation management apparatus A001 includes a CPU 101, a memory 102, a storage device 103, a user interface 104, a communication interface 105, a production / operation condition management unit 111, and a countermeasure candidate management unit. 112, a countermeasure plan creation unit 113, and a countermeasure execution unit 114, which are designed to be able to transmit and receive each other via the internal bus 100.
　まず、生産・運行管理装置Ａ００１における汎用的な構成要素について説明する。 First, general-purpose components in the production / operation management apparatus A001 will be described.
　ＣＰＵ１０１は、様々な数値計算や情報処理、機器制御などを行う中央処理装置である。メモリ１０２は、ＣＰＵ１０１が直接読み書きできるＲＡＭやＲＯＭなどの半導体記憶装置である。記憶装置１０３は、コンピュータ内でデータやプログラムを記憶するハードディスクや磁気テープ、フラッシュメモリなどである。 The CPU 101 is a central processing unit that performs various numerical calculations, information processing, device control, and the like. The memory 102 is a semiconductor storage device such as a RAM and a ROM that can be directly read and written by the CPU 101. The storage device 103 is a hard disk, magnetic tape, flash memory, or the like that stores data and programs in the computer.
　ユーザインターフェース１０４は、ディスプレイやマウス、キーボードなど、ユーザに処理結果を出力し、かつ、ユーザの指示を受け付けて生産・運行管理装置Ａ００１の各構成要素に反映させるための装置である。 The user interface 104 is a device such as a display, a mouse, or a keyboard for outputting a processing result to the user and receiving a user instruction and reflecting it on each component of the production / operation management apparatus A001.
　通信インターフェース１０５は、生産・運行管理装置Ａ００１の各構成要素のネットワークＮ００１を介したデータの送受信を制御するための装置である。通信インターフェース１０５は、相手方と認証処理を行って通信路を確立し、処理が完了した後や一定時間を経過しても相手方から何らの応答もなかった場合などに通信路を切断するなどの制御を行う。 The communication interface 105 is a device for controlling transmission / reception of data via the network N001 of each component of the production / operation management device A001. The communication interface 105 performs authentication processing with the other party to establish a communication path, and controls such as disconnecting the communication path after completion of the process or when there is no response from the other party even after a predetermined time has elapsed. I do.
　次に、生産・運行管理装置Ａ００１における本実施の形態に特有な構成要素について説明する。 Next, components unique to the present embodiment in the production / operation management apparatus A001 will be described.
　生産・運行条件管理部１１１は、メモリ１０２、または記憶装置１０３に格納されている生産・運行条件を、生産・運行条件管理テーブルＴ１３０に登録し、更新などの処理を行う装置である。生産・運行条件管理テーブルＴ１３０の詳細に関しては後述する。 The production / operation condition management unit 111 is a device that registers the production / operation conditions stored in the memory 102 or the storage device 103 in the production / operation condition management table T130 and performs processing such as updating. Details of the production / operation condition management table T130 will be described later.
　対策候補管理部１１２は、メモリ１０２、または記憶装置１０３に格納されている対策候補を、対策候補管理テーブルＴ１４０に登録し、更新などの処理を行う装置である。対策候補管理テーブルＴ１４０の詳細に関しては後述する。 The countermeasure candidate management unit 112 is an apparatus that registers countermeasure candidates stored in the memory 102 or the storage device 103 in the countermeasure candidate management table T140 and performs processing such as updating. Details of the countermeasure candidate management table T140 will be described later.
　対策案作成部１１３は、メモリ１０２、または記憶装置１０３に格納されている生産・運行条件（生産・運行条件管理部１１１から取得）と、対策候補（対策候補管理部１１２から取得）と、生産・運行計画（生産・運行管理装置Ａ００１から取得）と、機械稼動リスク（保守管理装置Ａ００３から取得）を用いて対策案を作成し、メモリ１０２、または記憶装置１０３に格納する装置である。 The countermeasure plan creation unit 113 includes a production / operation condition (obtained from the production / operation condition management unit 111), a countermeasure candidate (obtained from the countermeasure candidate management unit 112), and a production stored in the memory 102 or the storage device 103. A device that creates a countermeasure plan using an operation plan (acquired from the production / operation management device A001) and a machine operation risk (acquired from the maintenance management device A003) and stores the countermeasure plan in the memory 102 or the storage device 103.
　対策実行部１１４は、メモリ１０２、または記憶装置１０３に格納されている対策案（対策案作成部１１３から取得）から選択された対策を実行する装置である。 The measure execution unit 114 is a device that executes a measure selected from the measure plan (obtained from the measure plan creation unit 113) stored in the memory 102 or the storage device 103.
　なお、生産・運行条件管理部１１１と、対策候補管理部１１２と、対策案作成部１１３と、対策実行部１１４については、それぞれの装置が単体で処理を実行してもよいし、それぞれの装置はプログラムのみを具備し、ＣＰＵ１０１が当該プログラムをメモリ１０２に読み込んで実行してもよい。 In addition, regarding the production / operation condition management unit 111, the countermeasure candidate management unit 112, the countermeasure plan creation unit 113, and the countermeasure execution unit 114, each device may execute processing alone or each device. May comprise only a program, and the CPU 101 may read the program into the memory 102 and execute it.
　図３は、生産・運行計画装置Ａ００２の概略構成を例示する図である。図３に示すように、生産・運行計画装置Ａ００２は、ＣＰＵ２０１と、メモリ２０２と、記憶装置２０３と、ユーザインターフェース２０４と、通信インターフェース２０５と、生産・運行能力管理部２１１と、生産・運行計画管理部２１２と、生産・運行計画作成部２１３を備え、これらが内部バス２００を介して相互に送受信できるように設計されている。 FIG. 3 is a diagram illustrating a schematic configuration of the production / operation planning apparatus A002. As shown in FIG. 3, the production / operation planning apparatus A002 includes a CPU 201, a memory 202, a storage device 203, a user interface 204, a communication interface 205, a production / operation capability management unit 211, and a production / operation plan. A management unit 212 and a production / operation plan creation unit 213 are provided, and are designed to be able to transmit and receive each other via the internal bus 200.
　生産・運行計画装置Ａ００２における汎用的な構成要素であるＣＰＵ２０１と、メモリ２０２と、記憶装置２０３と、ユーザインターフェース２０４と、通信インターフェース２０５については、図２に示した生産・運行管理装置Ａ００１のＣＰＵ１０１と、メモリ１０２と、記憶装置１０３と、ユーザインターフェース１０４と、通信インターフェース１０５と同様の機能を有するため詳細な説明は省略する。 The CPU 201, the memory 202, the storage device 203, the user interface 204, and the communication interface 205, which are general-purpose components in the production / operation planning apparatus A002, are the CPU 101 of the production / operation management apparatus A001 shown in FIG. Since the memory 102, the storage device 103, the user interface 104, and the communication interface 105 have the same functions, detailed description thereof is omitted.
　次に、生産・運行計画装置Ａ００２における本実施の形態に特有な構成要素について説明する。 Next, components unique to the present embodiment in the production / operation planning apparatus A002 will be described.
　生産・運行能力管理部２１１は、メモリ２０２、または記憶装置２０３に格納されている生産・運行能力を、生産・運行能力管理テーブルＴ２３０に登録し、更新などの処理を行う装置である。生産・運行能力管理テーブルＴ２３０の詳細に関しては後述する。 The production / operation capability management unit 211 is a device that registers the production / operation capability stored in the memory 202 or the storage device 203 in the production / operation capability management table T230 and performs processing such as updating. Details of the production / operation capacity management table T230 will be described later.
　生産・運行計画管理部２１２は、メモリ２０２、または記憶装置２０３に格納されている生産・運行計画を、生産・運行計画管理テーブルＴ２４０に登録し、更新などの処理を行う装置である。生産・運行計画管理テーブルＴ２４０の詳細に関しては後述する。 The production / operation plan management unit 212 is a device that registers the production / operation plan stored in the memory 202 or the storage device 203 in the production / operation plan management table T240 and performs processing such as updating. Details of the production / operation plan management table T240 will be described later.
　生産・運行計画作成部２１３は、メモリ２０２、または記憶装置２０３に格納されている生産・運行条件（生産・運行管理装置Ａ００１から取得）と、生産・運行能力（生産・運行能力管理部２１１から取得）と、生産・運行計画（生産・運行計画管理部２１２から取得）を用いて生産・運行計画を作成し、メモリ２０２、または記憶装置２０３に格納する装置である。 The production / operation plan creation unit 213 includes the production / operation conditions (obtained from the production / operation management device A001) stored in the memory 202 or the storage device 203, and the production / operation capability (from the production / operation capability management unit 211). Acquisition) and a production / operation plan (obtained from the production / operation plan management unit 212), a production / operation plan is created and stored in the memory 202 or the storage device 203.
　なお、生産・運行能力管理部２１１と、生産・運行計画管理部２１２と、生産・運行計画作成部２１３については、それぞれの装置が単体で処理を実行してもよいし、それぞれの装置はプログラムのみを具備し、ＣＰＵ２０１が当該プログラムをメモリ２０２に読み込んで実行してもよい。 As for the production / operation capacity management unit 211, the production / operation plan management unit 212, and the production / operation plan creation unit 213, each device may execute processing alone, or each device may be a program. The CPU 201 may read the program into the memory 202 and execute it.
　図４は、保守管理装置Ａ００３の概略構成を例示する図である。図示するように保守管理装置Ａ００３は、ＣＰＵ３０１と、メモリ３０２と、記憶装置３０３と、ユーザインターフェース３０４と、通信インターフェース３０５と、稼動リスク定数管理部３１１と、稼動リスク管理部３１２と、稼動リスク計算部３１３と、故障予兆検知部３１４を備え、これらが内部バス３００を介して相互に送受信できるように設計されている。 FIG. 4 is a diagram illustrating a schematic configuration of the maintenance management apparatus A003. As illustrated, the maintenance management device A003 includes a CPU 301, a memory 302, a storage device 303, a user interface 304, a communication interface 305, an operation risk constant management unit 311, an operation risk management unit 312, and an operation risk calculation. 313 and a failure sign detection unit 314, which are designed to be able to transmit and receive each other via the internal bus 300.
　保守管理装置Ａ００３における汎用的な構成要素であるＣＰＵ３０１と、メモリ３０２と、記憶装置３０３と、ユーザインターフェース３０４と、通信インターフェース３０５については、図２に示した生産・運行管理装置Ａ００１のＣＰＵ１０１と、メモリ１０２と、記憶装置１０３と、ユーザインターフェース１０４と、通信インターフェース１０５と同様の機能を有するため詳細な説明は省略する。 The CPU 301, the memory 302, the storage device 303, the user interface 304, and the communication interface 305, which are general-purpose components in the maintenance management device A003, are the CPU 101 of the production / operation management device A001 shown in FIG. Since the memory 102, the storage device 103, the user interface 104, and the communication interface 105 have the same functions, detailed descriptions thereof are omitted.
　次に、保守管理装置Ａ００３における本実施の形態に特有な構成要素について説明する。 Next, components unique to the present embodiment in the maintenance management apparatus A003 will be described.
　稼動リスク定数管理部３１１は、メモリ３０２、または記憶装置３０３に格納されている経時劣化リスク、故障予兆リスク、リスク閾値などの稼動リスク定数を、経時劣化リスク管理テーブルＴ３３０、故障予兆リスク管理テーブルＴ３４０、稼動リスク閾値管理テーブルＴ３５０などの稼動リスク定数を管理するテーブルに登録し、更新などの処理を行う装置である。経時劣化リスク管理テーブルＴ３３０、故障予兆リスク管理テーブルＴ３４０及び稼動リスク閾値管理テーブルＴ３５０の詳細に関しては後述する。 The operation risk constant management unit 311 stores operation risk constants such as a time-dependent deterioration risk, a failure predictor risk, and a risk threshold stored in the memory 302 or the storage device 303, a deterioration deterioration risk management table T330, a failure predictor risk management table T340. This is an apparatus that registers in an operation risk constant management table such as the operation risk threshold management table T350 and performs processing such as update. Details of the temporal deterioration risk management table T330, the failure predictor risk management table T340, and the operation risk threshold management table T350 will be described later.
　稼動リスク管理部３１２は、メモリ３０２、または記憶装置３０３に格納されている稼動リスクを、稼動リスク管理テーブルＴ３６０に登録し、更新などの処理を行う装置である。稼動リスク管理テーブルＴ３６０の詳細に関しては後述する。 The operation risk management unit 312 is a device that registers an operation risk stored in the memory 302 or the storage device 303 in the operation risk management table T360 and performs processing such as updating. Details of the operation risk management table T360 will be described later.
　稼動リスク計算部３１３は、メモリ３０２、または記憶装置３０３に格納されている生産・運行計画（生産・運行管理装置Ａ００１、あるいは生産・運行計画装置Ａ００２から取得）と、経時劣化リスク、故障予兆リスク、保守目安リスクなどの稼動リスク定数を用いて稼動リスクを計算し、メモリ３０２、または記憶装置３０３に格納する装置である。 The operation risk calculation unit 313 includes a production / operation plan (obtained from the production / operation management device A001 or the production / operation planning device A002) stored in the memory 302 or the storage device 303, an aging deterioration risk, and a failure predictor risk. This is a device that calculates an operation risk using an operation risk constant such as a maintenance guideline risk and stores it in the memory 302 or the storage device 303.
　故障予兆検知部３１４は、故障予兆情報（故障予兆検知部３１４が作成、あるいは、機械Ｅ００１から取得）をメモリ３０２、または記憶装置３０３に格納する装置である。なお、稼動リスク定数管理部３１１と、稼動リスク管理部３１２と、稼動リスク計算部３１３と、故障予兆検知部３１４については、それぞれの装置が単体で処理を実行してもよいし、それぞれの装置はプログラムのみを具備し、ＣＰＵ３０１が当該プログラムをメモリ３０２に読み込んで実行してもよい。 The failure sign detection unit 314 is a device that stores failure sign information (created by the failure sign detection unit 314 or acquired from the machine E001) in the memory 302 or the storage device 303. Note that the operation risk constant management unit 311, the operation risk management unit 312, the operation risk calculation unit 313, and the failure sign detection unit 314 may each execute processing alone, or each device. May comprise only a program, and the CPU 301 may read the program into the memory 302 and execute it.
　続いて、運行最適化支援システムが利用するテーブルについてそのデータ構成などを説明する。 Next, the data structure of the table used by the operation optimization support system will be described.
　図５は、生産・運行条件管理テーブルＴ１３０の構成例を示す図である。生産・運行条件管理テーブルＴ１３０は、上記図２の説明でも述べたように、生産・運行管理装置Ａ００１の管理する現在機械が動作している生産・運行条件のリストである。 FIG. 5 is a diagram showing a configuration example of the production / operation condition management table T130. The production / operation condition management table T130 is a list of production / operation conditions under which the current machine managed by the production / operation management apparatus A001 operates as described in the explanation of FIG.
　図５に示すように、生産・運行条件管理テーブルＴ１３０は、機械の識別子を格納する機械カラム１３１、機械が現在選択している温度、圧力、速度、加速度、減速度（ブレーキ）、路線、車両構成などの生産・運行条件の識別子を格納する生産・運行条件カラム１３２、機械が現在生産している製品の識別子を格納する製品条件カラム１３３などで構成される。 As shown in FIG. 5, the production / operation condition management table T130 includes a machine column 131 storing machine identifiers, temperature, pressure, speed, acceleration, deceleration (brake), route, vehicle currently selected by the machine. It includes a production / operation condition column 132 for storing an identifier of production / operation conditions such as a configuration, and a product condition column 133 for storing an identifier of a product currently produced by the machine.
　図５の例では、現在、機械Ｅ００１は生産・運行条件Ｂ１１１で製品Ｇ００１を、機械Ｅ００２は生産・運行条件Ｂ２２１で製品Ｇ００２を生産していることがわかる。ここで、機械Ｅ００３の生産・運行条件カラムと製品カラムの値が「－」となっているのは、現在、機械Ｅ００３は動作していないことを表している。 In the example of FIG. 5, it can be seen that the machine E001 is currently producing the product G001 under the production / operation condition B111, and the machine E002 is producing the product G002 under the production / operation condition B221. Here, the value of the production / operation condition column and the product column of the machine E003 being “−” indicates that the machine E003 is not currently operating.
　図６は、対策候補管理テーブルＴ１４０の構成例を示す図である。対策候補管理テーブルＴ１４０は、上記図２の説明でも述べたように、生産・運行管理装置Ａ００１の管理する故障予兆検知時などに実施し得る対策候補のリストである。 FIG. 6 is a diagram showing a configuration example of the countermeasure candidate management table T140. The countermeasure candidate management table T140 is a list of candidate countermeasures that can be implemented at the time of failure sign detection managed by the production / operation management apparatus A001, as described in the explanation of FIG.
　図６に示すように、対策候補管理テーブルＴ１４０は、対策内容を格納する対策候補カラム１４１、対策実施に必要となる時間を格納する追加日数カラム１４２、対策実施に必要となる費用を格納する追加費用カラム１４３などで構成される。 As shown in FIG. 6, the countermeasure candidate management table T140 includes a countermeasure candidate column 141 for storing countermeasure contents, an additional number of days column 142 for storing time required for implementing countermeasures, and an additional storage for storing expenses required for implementing countermeasures. The cost column 143 is configured.
　図６の例では、対策内容が「そのまま」の場合は追加時間が「０」で追加費用が「０」、対策内容が「部品効果」の場合は追加時間が「１０」で追加費用が「１００」であることがわかる。ここで、追加時間カラム１４２や追加費用カラム１４３は機械、故障予兆情報、日付などの他情報を変数とする数式や取得先を表す識別子などでもよい。 In the example of FIG. 6, when the countermeasure content is “as is”, the additional time is “0” and the additional cost is “0”, and when the countermeasure content is “part effect”, the additional time is “10” and the additional cost is “ 100 ". Here, the additional time column 142 and the additional cost column 143 may be a mathematical expression using other information such as a machine, failure sign information, and a date as a variable, an identifier representing an acquisition destination, or the like.
　図７は、生産・運行能力管理テーブルＴ２３０の構成例を示す図である。生産・運行能力管理テーブルＴ２３０は、上記図３の説明でも述べたように、生産・運行計画装置Ａ００２の管理する機械の生産・運行能力のリストである。 FIG. 7 is a diagram showing a configuration example of the production / operation capacity management table T230. The production / operation capacity management table T230 is a list of the production / operation capacity of the machine managed by the production / operation planning apparatus A002 as described in the explanation of FIG.
　図７に示すように、生産・運行能力管理テーブルＴ２３０は、機械の識別子を格納する機械カラム２３１、機械が選択する温度、圧力、速度、加速度、減速度（ブレーキ）、路線、車両構成などの生産・運行条件の識別子を格納する生産・運行条件カラム２３２、機械が携わる製品の識別子を格納する製品カラム２３３、速度などの製品生産能力を格納する能力カラム２３４などで構成される。 As shown in FIG. 7, the production / operation capacity management table T230 includes a machine column 231 for storing machine identifiers, temperature, pressure, speed, acceleration, deceleration (brake), route, vehicle configuration, etc. selected by the machine. A production / operation condition column 232 for storing an identifier of production / operation conditions, a product column 233 for storing an identifier of a product engaged in the machine, a capability column 234 for storing a product production capacity such as a speed, and the like.
　図７の例では、機械Ｅ００１は生産・運行条件Ｂ１１１で製品Ｇ００１を能力「１０」で、機械Ｅ００２は生産・運行条件Ｂ２１１で製品Ｇ００１を能力「８」で生産することがわかり、製品Ｇ００１の生産に関しては機械Ｅ００１の能力が高いことがわかる。また、機械Ｅ００１は生産・運行条件Ｂ１１２で製品Ｇ００１を能力「６」で生産することから、生産・運行条件を変更することで能力が変わることがわかる。また、機械Ｅ００１は生産・運行条件Ｂ１２１で製品Ｇ００２を能力「８」で生産することから、生産・運行条件を変更することで別製品も生産できることがわかる。ここで、能力カラム２３４の値は、生産・運行条件、稼動時間などの他情報を変数とする数式や取得先を表す識別子などでもよい。 In the example of FIG. 7, it can be seen that the machine E001 produces the product G001 with the capacity “10” under the production / operation condition B111, and the machine E002 produces the product G001 with the capacity “8” under the production / operation condition B211. It can be seen that the production of the machine E001 is high in terms of production. Further, since the machine E001 produces the product G001 with the capacity “6” under the production / operation condition B112, it can be seen that the capacity changes by changing the production / operation conditions. Further, since the machine E001 produces the product G002 with the capacity “8” under the production / operation condition B121, it can be seen that another product can be produced by changing the production / operation conditions. Here, the value in the capability column 234 may be a mathematical expression using other information such as production / operation conditions and operation time as a variable, an identifier representing an acquisition destination, or the like.
　図８は、生産・運行計画管理テーブルＴ２４０の構成例を示す図である。生産・運行計画管理テーブルＴ２４０は、上記図３の説明でも述べたように、生産・運行計画装置Ａ００２の管理する各製品の生産・運行計画のリストである。 FIG. 8 is a diagram showing a configuration example of the production / operation plan management table T240. The production / operation plan management table T240 is a list of production / operation plans for each product managed by the production / operation plan apparatus A002 as described in the explanation of FIG.
　図８に示すように、生産・運行計画管理テーブルＴ２４０は、製品の識別子を格納する製品カラム２４１、製品の生産目標までの残りの生産量を格納する残量カラム２４２、製品の生産目標までの残りの時間を格納する残時間カラム２４３などで構成される。 As shown in FIG. 8, the production / operation plan management table T240 includes a product column 241 for storing product identifiers, a remaining amount column 242 for storing the remaining production amount up to the product production target, The remaining time column 243 for storing the remaining time is used.
　図８の例では、製品Ｇ００１は残り「１５」の時間で残り「８０」の量を、製品Ｇ００２は残り「３０」の時間で残り「１５０」を生産すべきであることがわかる。ここで、残量カラム２４２や残時間カラム２４３は、市場の情報や日付などの他情報を変数とする数式や取得先を表す識別子などでもよい。 In the example of FIG. 8, it is understood that the product G001 should produce the remaining “80” in the remaining “15” time, and the product G002 should produce the remaining “150” in the remaining “30” time. Here, the remaining amount column 242 and the remaining time column 243 may be mathematical expressions using other information such as market information and date as variables, identifiers representing acquisition sources, and the like.
　図９は、経時劣化リスク管理テーブルＴ３３０の構成例を示す図である。経時劣化リスク管理テーブルＴ３３０は、上記図４の説明でも述べたように、保守管理装置Ａ００３の管理する機械の経年劣化リスクのリストである。 FIG. 9 is a diagram showing a configuration example of the temporal deterioration risk management table T330. The aging risk management table T330 is a list of aging risks of machines managed by the maintenance management device A003 as described in the explanation of FIG.
　図９に示すように、経時劣化リスク管理テーブルＴ３３０は、機械の識別子を格納する機械カラム３３１、機械が選択する温度、圧力、速度、加速度、減速度（ブレーキ）、路線、車両構成などの生産・運行条件の識別子を格納する生産・運行条件カラム３３２、機械の保守対象部品の識別子を格納する部品カラム３３３、時間経過による稼動リスクの増加係数を格納する係数カラム３３４などで構成される。 As shown in FIG. 9, the time degradation risk management table T330 includes a machine column 331 for storing machine identifiers, temperature, pressure, speed, acceleration, deceleration (brake), route, vehicle configuration, and the like selected by the machine. A production / operation condition column 332 for storing operation condition identifiers, a component column 333 for storing identifiers of machine maintenance target parts, and a coefficient column 334 for storing an increase coefficient of operation risk over time.
　図９の例では、機械Ｅ００１は生産・運行条件Ｂ１１１で部品Ｐ００１の稼動リスク増加係数が「１５」で、機械Ｅ００２は生産・運行条件Ｂ２１１で稼動リスク増加係数「１０」であり、製品Ｇ００１の生産に関しては機械Ｅ００１の稼動リスク増加が大きいことがわかる。また、機械Ｅ００１は生産・運行条件Ｂ１１２で部品Ｐ００１の稼動リスク増加係数が「３」であることから、生産・運行条件を変更することで稼動リスク増加が変わることがわかる。また、機械Ｅ００１は生産・運行条件Ｂ１２１で部品Ｐ００２の稼動リスク増加係数が「１０」であることから、生産・運行条件を変更することで稼動リスクが増加する部品が変わることがわかる。ここで、係数カラム３３４の値は、生産・運行条件、稼動時間などの他情報を変数とする数式や取得先を表す識別子などでもよい。 In the example of FIG. 9, the machine E001 has a production / operation condition B111 and the operation risk increase coefficient of the component P001 is “15”, and the machine E002 has an operation risk increase coefficient “10” in the production / operation condition B211. With regard to production, it can be seen that the increase in operating risk of the machine E001 is large. Further, since the operation risk increase coefficient of the part P001 is “3” in the production / operation condition B112, it can be seen that the increase in the operation risk is changed by changing the production / operation conditions. In addition, since the operation risk increase coefficient of the part P002 is “10” in the production / operation condition B121, it can be understood that the machine E001 changes the part whose operation risk increases by changing the production / operation condition. Here, the value in the coefficient column 334 may be a mathematical expression using other information such as production / operation conditions and operating time as a variable, an identifier representing an acquisition destination, or the like.
　図１０は、故障予兆リスク管理テーブルＴ３４０の構成例を示す図である。故障予兆リスク管理テーブルＴ３４０は、上記図４の説明でも述べたとおり、保守管理装置Ａ００３の管理する機械の故障予兆リスクのリストである。 FIG. 10 is a diagram showing a configuration example of the failure sign risk management table T340. The failure sign risk management table T340 is a list of machine failure sign risks managed by the maintenance management apparatus A003 as described in the description of FIG.
　図１０に示すように、故障予兆リスク管理テーブルＴ３４０は、故障予兆の識別子を格納する故障予兆カラム３４１、故障予兆の検知で増加する稼動リスクを格納するリスク度カラム３４２などで構成される。 As shown in FIG. 10, the failure sign risk management table T340 includes a failure sign column 341 that stores a failure sign identifier, a risk degree column 342 that stores an operation risk that increases when a failure sign is detected, and the like.
　図１０の例では、故障予兆Ｄ００１を検知すると稼動リスクが「１０００」増加することがわかる。ここで、リスク度カラム３４２の値は、検知時の稼動リスクや部品識別子など、他情報を変数とする数式やその時点の稼動リスクによらない一定の値や無限大のような絶対的に大きい値や取得先を表す識別子などでもよい。 In the example of FIG. 10, it can be seen that the operation risk increases by “1000” when the failure sign D001 is detected. Here, the value of the risk degree column 342 is absolutely large such as a mathematical value using other information as a variable, such as an operation risk at the time of detection, a part identifier, or a constant value or infinity that does not depend on the operation risk at that time. An identifier representing a value or an acquisition destination may be used.
　図１１は、稼動リスク閾値管理テーブルＴ３５０の構成例を示す図である。稼動リスク閾値管理テーブルＴ３５０は、上記図４の説明でも述べたように、保守管理装置Ａ００３の管理する機械の稼動リスク閾値のリストである。 FIG. 11 is a diagram showing a configuration example of the operation risk threshold management table T350. The operation risk threshold value management table T350 is a list of operation risk threshold values of the machines managed by the maintenance management apparatus A003, as described in the explanation of FIG.
　図１１に示すように、稼動リスク閾値管理テーブルＴ３５０は、機械の識別子を格納する機械カラム３５１、機械の保守対象部品の識別子を格納する部品カラム３５２、保守実施の目安となる稼動リスクの閾値と格納する閾値カラム３５３などで構成される。 As shown in FIG. 11, the operation risk threshold management table T350 includes a machine column 351 for storing machine identifiers, a component column 352 for storing identifiers of machine maintenance target parts, and operation risk thresholds serving as maintenance guidelines. The threshold value column 353 is stored.
　図１１の例では、機械Ｅ００１の部品Ｐ０１１の稼動リスクの閾値は「２０００」であることがわかる。ここで、閾値カラム３５３の値は、稼動時間などの他情報を変数とする数式や取得先を表す識別子などでもよい。 In the example of FIG. 11, it can be seen that the operation risk threshold value of the part P011 of the machine E001 is “2000”. Here, the value of the threshold value column 353 may be a mathematical expression using other information such as an operation time as a variable, an identifier representing an acquisition destination, or the like.
　図１２は、稼動リスク管理テーブルＴ３６０の構成例を示す図である。稼動リスク管理テーブルＴ３６０は、上記図４の説明でも述べたとおり、保守管理装置Ａ００３の管理する機械の現在の稼動リスクのリストである。 FIG. 12 is a diagram showing a configuration example of the operation risk management table T360. The operation risk management table T360 is a list of current operation risks of the machines managed by the maintenance management apparatus A003 as described in the explanation of FIG.
　図１２に示すように、稼動リスク管理テーブルＴ３６０は、機械の識別子を格納する機械カラム３６１、機械の保守対象部品の識別子を格納する部品カラム３６２、部品の現在の稼動リスクを格納するリスク度カラム３６３などで構成される。図１２の例では、機械Ｅ００１の部品Ｐ０１１の現在の稼動リスクは「９３５」であることがわかる。 As shown in FIG. 12, the operation risk management table T360 includes a machine column 361 for storing machine identifiers, a component column 362 for storing identifiers of machine maintenance target components, and a risk degree column for storing current operation risks of components. 363 or the like. In the example of FIG. 12, it can be seen that the current operation risk of the part P011 of the machine E001 is “935”.
（１－２）対策案提示処理
　次に、本実施の形態における対策案提示処理の詳細について説明する。 (1-2) Countermeasure plan presentation processing Next, details of the countermeasure plan presentation processing in this embodiment will be described.
　図１３は本実施の形態における対策案提示処理の処理手順例を示すフローチャートである。以下で説明する各ステップは、図１に示す運行最適化支援システムを構成する各装置が実行するプログラムによって実現される。そして、これらのプログラムは、以下で説明する各種の動作を行うためのコードから構成されている。この前提は他の処理手順に関しても同様である。 FIG. 13 is a flowchart showing an example of a processing procedure of countermeasure proposal presentation processing in the present embodiment. Each step described below is realized by a program executed by each device constituting the operation optimization support system shown in FIG. These programs are composed of codes for performing various operations described below. This premise is the same for other processing procedures.
　図１３に示すように、保守管理装置Ａ００３の故障予兆検知部３１４が、故障予兆を診断する（Ｓ００１）。具体的に、故障予兆検知部３１４は、機械の故障予兆を検知し、その機械と故障予兆の情報をメモリ３０２、または記憶装置３０３に格納する。ここで、故障予兆の情報を作成するのは、保守管理装置Ａ００３でもよいし、機械Ｅ００１でもよいし、他装置でもよい。 As shown in FIG. 13, the failure sign detection unit 314 of the maintenance management device A003 diagnoses a failure sign (S001). Specifically, the failure sign detection unit 314 detects a failure sign of a machine and stores information on the machine and the failure sign in the memory 302 or the storage device 303. Here, the maintenance sign device A003, the machine E001, or another device may be used to create the failure predictor information.
　図１４を参照して、ステップＳ００１における故障予兆診断処理について説明する。まず、機械Ｅ００１が、稼動情報を収集する（Ｓ０１１）。ここで、稼動情報は、稼動時間、利用部品、生産・運行条件のような生産・運行の情報だけでなく、振動、音、画像のような症状を示す情報や保守履歴のような機械や部品への作業の情報などを含むものとする。 Referring to FIG. 14, the failure sign diagnosis process in step S001 will be described. First, the machine E001 collects operation information (S011). Here, the operation information is not only production / operation information such as operation time, parts used, production / operation conditions, but also information indicating symptoms such as vibration, sound, images, and machines and parts such as maintenance history. It should include information on work on
　そして、機械Ｅ００１が、その稼動情報を保守管理装置Ａ００３へ送信する（Ｓ０１２）。そして、保守管理装置Ａ００３の故障予兆検知部３１４が、通信インターフェース３０５を介して、その稼動情報を受信し、メモリ３０２または記憶装置３０３へ格納する（Ｓ０１３）。ここでは、格納された稼動情報の中には、機械「Ｅ００１」、部品「Ｐ０１１」、生産・運行条件「Ｂ１１１」、経過時間「１」が含まれているものとする。 Then, the machine E001 transmits the operation information to the maintenance management apparatus A003 (S012). Then, the failure sign detection unit 314 of the maintenance management device A003 receives the operation information via the communication interface 305 and stores it in the memory 302 or the storage device 303 (S013). Here, it is assumed that the stored operation information includes the machine “E001”, the part “P011”, the production / operation condition “B111”, and the elapsed time “1”.
　次に、保守管理装置Ａ００３の故障予兆検知部３１４は、メモリ３０２、または記憶装置３０３へ格納された稼動情報を用いて、故障予兆を診断する。ここで、故障予兆の診断は、閾値検知のような現在の情報を用いた診断でも、クラスタリングを用いた異常検知のような過去の情報と現在の情報を用いた診断でもよい。 Next, the failure sign detection unit 314 of the maintenance management apparatus A003 diagnoses the failure sign using the operation information stored in the memory 302 or the storage device 303. Here, the diagnosis of the failure sign may be a diagnosis using current information such as threshold detection or a diagnosis using past information and current information such as abnormality detection using clustering.
　そして、保守管理装置Ａ００３の故障予兆検知部３１４は、故障予兆の有無を判断して（Ｓ０１４）、故障予兆があるかを判定する（Ｓ０１５）。ステップＳ０１５で、故障予兆Ｄ００１を検知したとすると、保守管理装置Ａ００３の故障予兆検知部３１４は、その故障予兆情報をメモリ３０２、または記憶装置３０３へ格納する（Ｓ０１６）。ここでは、格納された故障予兆情報の中に、故障予兆「Ｄ００１」が含まれているとする。 Then, the failure sign detection unit 314 of the maintenance management apparatus A003 determines whether there is a failure sign (S014) and determines whether there is a failure sign (S015). If a failure sign D001 is detected in step S015, the failure sign detection unit 314 of the maintenance management device A003 stores the failure sign information in the memory 302 or the storage device 303 (S016). Here, it is assumed that the failure sign “D001” is included in the stored failure sign information.
　図１３に戻り、保守管理装置Ａ００３の稼動リスク計算部３１３は、稼動リスクを更新する（Ｓ００２）。具体的に、稼動リスク計算部３１３は、メモリ３０２、または記憶装置３０３に格納された機械の情報をもとに稼動リスク管理部３１２から取得した機械の現在の稼動リスクと、メモリ３０２、または記憶装置３０３に格納された故障予兆の情報をもとに稼動リスク定数管理部３１１から取得した稼動リスクの増加量を用いて、機械の新しい稼動リスクを算出し、メモリ３０２、または記憶装置３０３に格納する。そして、稼動リスク管理部３１２は、メモリ３０２、または記憶装置３０３に格納された機械の新しい稼動リスクをもとに稼動リスク管理テーブルＴ３６０を更新する。 Referring back to FIG. 13, the operation risk calculation unit 313 of the maintenance management device A003 updates the operation risk (S002). Specifically, the operation risk calculation unit 313 includes the current operation risk of the machine acquired from the operation risk management unit 312 based on the machine information stored in the memory 302 or the storage device 303, and the memory 302 or storage. A new operation risk of the machine is calculated and stored in the memory 302 or the storage device 303 using the increase amount of the operation risk acquired from the operation risk constant management unit 311 based on the information on the failure sign stored in the device 303. To do. Then, the operation risk management unit 312 updates the operation risk management table T360 based on the new operation risk of the machine stored in the memory 302 or the storage device 303.
　図１５を参照して、ステップＳ００２における稼動リスクの更新処理について説明する。まず、保守管理装置Ａ００３の稼動リスク計算部３１３は、稼動リスク管理部３１２を介して、稼動リスク管理テーブルＴ３６０より稼動リスクの現在値を取得する（Ｓ０２１）。ここでは、メモリ３０２、または記憶装置３０３に格納されている機械「Ｅ００１」、部品「Ｐ０１１」、生産・運行条件「Ｂ１１１」をもとに、機械の現在の稼動リスク「９３５」（図１２のレコード３６４）を取得する。 Referring to FIG. 15, the operation risk update process in step S002 will be described. First, the operation risk calculation unit 313 of the maintenance management apparatus A003 acquires the current value of the operation risk from the operation risk management table T360 via the operation risk management unit 312 (S021). Here, based on the machine “E001”, the part “P011”, and the production / operation condition “B111” stored in the memory 302 or the storage device 303, the current operation risk “935” of the machine (FIG. 12). Record 364) is acquired.
　次に、保守管理装置Ａ００３の稼動リスク計算部３１３は、経時劣化リスク管理テーブルＴ３３０を用いて、経時劣化のリスク増加を計算する（Ｓ０２２）。ここでは、メモリ３０２、または記憶装置３０３に格納されている機械「Ｅ００１」、部品「Ｐ０１１」、生産・運行条件「Ｂ１１１」をもとに、経時劣化リスク増加係数「１５」（図９のレコード３３５）を取得し、メモリ３０２、または記憶装置３０３に格納されている経過時間「１」との乗算により、経時劣化のリスク増加「１５」を算出する。 Next, the operation risk calculation unit 313 of the maintenance management apparatus A003 calculates an increase in the risk of deterioration over time using the deterioration deterioration management table T330 (S022). Here, the degradation risk increasing coefficient “15” (record in FIG. 9) based on the machine “E001”, the part “P011”, and the production / operation condition “B111” stored in the memory 302 or the storage device 303. 335) is obtained, and the risk increase “15” of deterioration with time is calculated by multiplication with the elapsed time “1” stored in the memory 302 or the storage device 303.
　そして、保守管理装置Ａ００３の稼動リスク計算部３１３は、故障予兆の有無を判定する（Ｓ０２３）。ここでは、故障予兆情報として、故障予兆の識別子「Ｄ００１」がある。 Then, the operation risk calculation unit 313 of the maintenance management apparatus A003 determines whether there is a failure sign (S023). Here, the failure sign information includes a failure sign identifier “D001”.
　ステップＳ０２３で故障予兆があると判定された場合に、保守管理装置Ａ００３の稼動リスク計算部３１３は、故障予兆リスク管理テーブルＴ３４０を参照して、故障予兆のリスク増加を計算する（Ｓ０２４）。ここでは、メモリ３０２、または記憶装置３０３に格納されている故障予兆の識別子「Ｄ００１」をもとに、故障予兆のリスク増加「１０００」（図１０のレコード３４３）を取得する。 When it is determined in step S023 that there is a failure sign, the operation risk calculation unit 313 of the maintenance management device A003 refers to the failure sign risk management table T340 and calculates the risk increase of the failure sign (S024). Here, based on the failure sign identifier “D001” stored in the memory 302 or the storage device 303, the risk increase “1000” of the sign of failure (record 343 in FIG. 10) is acquired.
　そして、保守管理装置Ａ００３の稼動リスク計算部３１３は、新しい稼動リスクを算出し、稼動リスク管理部３１２を介して、稼動リスク管理テーブルＴ３６０を更新する。ここでは、機械の現在の稼動リスク「９３５」に、経時劣化のリスク増加「１５」と、故障予兆のリスク増加「１０００」を加算し、新しい稼動リスク「１９５０」を算出して、稼動リスクを更新する（Ｓ０２５）。 Then, the operation risk calculation unit 313 of the maintenance management apparatus A003 calculates a new operation risk, and updates the operation risk management table T360 via the operation risk management unit 312. Here, the current operating risk “935” of the machine is added to the risk increase “15” of deterioration over time and the risk increase “1000” of the predictive failure, and a new operating risk “1950” is calculated to calculate the operating risk. Update (S025).
　図１３に戻り、次に、保守管理装置Ａ００３の故障予兆検知部３１４は、通信インターフェース３０５を介して、生産・運行管理装置Ａ００１へ、メモリ３０２、または記憶装置３０３に格納された機械と故障予兆の情報を送信する（Ｓ００３）。そして、生産・運行管理装置Ａ００１の対策案作成部１１３は、通信インターフェース１０５を介して、機械と故障予兆の情報を受信し、メモリ１０２、または記憶装置１０３に格納する。 Returning to FIG. 13, next, the failure sign detection unit 314 of the maintenance management device A 003 transmits the machine and failure sign stored in the memory 302 or the storage device 303 to the production / operation management device A 001 via the communication interface 305. Is transmitted (S003). Then, the countermeasure plan creation unit 113 of the production / operation management apparatus A001 receives information on the machine and the failure sign via the communication interface 105 and stores the information in the memory 102 or the storage device 103.
　上記では、保守管理装置Ａ００３の故障予兆検知部３１４は、メモリ３０２、または記憶装置３０３に格納された機械「Ｅ００１」、部品「Ｐ０１１」、生産・運行条件「Ｂ１１１」及び故障予兆「Ｄ００１」を生産・運行管理装置Ａ００１へ送信したとする。また、生産・運行管理装置Ａ００１の対策案作成部１１３は、保守管理装置Ａ００３より受信したこれら情報をメモリ１０２、または記憶装置１０３に格納したとする。 In the above, the failure sign detection unit 314 of the maintenance management device A003 stores the machine “E001”, the part “P011”, the production / operation condition “B111”, and the failure sign “D001” stored in the memory 302 or the storage device 303. Assume that the data is transmitted to the production / operation management apparatus A001. Further, it is assumed that the measure plan creation unit 113 of the production / operation management apparatus A001 stores the information received from the maintenance management apparatus A003 in the memory 102 or the storage device 103.
　次に、生産・運行管理装置Ａ００１の対策候補管理部１１２は、メモリ１０２、または記憶装置１０３に格納された機械と故障予兆の情報をもとに対策候補管理テーブルＴ１４０から対策候補の情報を取得し、メモリ１０２、または記憶装置１０３に格納する（Ｓ００４）。 Next, the countermeasure candidate management unit 112 of the production / operation management apparatus A001 acquires countermeasure candidate information from the countermeasure candidate management table T140 based on the machine 102 and the failure predictor information stored in the memory 102 or the storage device 103. Then, it is stored in the memory 102 or the storage device 103 (S004).
　上記では、生産・運行管理装置Ａ００１の対策候補管理部１１２は、対策候補管理部１１２から、対策候補（図６のカラム１４１）として「そのまま」、「条件変更」、「製品変更」、「製品委託」、「機械交換」、「部品交換」と、その対策候補の追加時間（図６のカラム１４２）と、その対策候補の追加費用（図６のカラム１４３）を取得し、これらを対策候補の情報として、メモリ１０２、または記憶装置１０３に格納したとする。 In the above, the countermeasure candidate management unit 112 of the production / operation management apparatus A001 receives “as is”, “condition change”, “product change”, “product” as the countermeasure candidates (column 141 in FIG. 6) from the countermeasure candidate management unit 112. "Consignment", "Machine replacement", "Parts replacement", the additional time for the countermeasure candidate (column 142 in FIG. 6) and the additional cost of the countermeasure candidate (column 143 in FIG. 6) are acquired and these are the candidate countermeasure Is stored in the memory 102 or the storage device 103.
　そして、生産・運行管理装置Ａ００１の対策案作成部１１３は、取得した対策候補の情報に含まれる各対策候補の計画を算出するため、通信インターフェース１０５を介して、生産・運行計画装置Ａ００２へ、この各対策候補の情報と生産・運行条件管理部１１１から取得した現在の生産・運行条件を送信し、各対策候補の計画策定を依頼する（Ｓ００５）。 Then, the countermeasure plan creation unit 113 of the production / operation management apparatus A001 calculates the plan of each countermeasure candidate included in the acquired countermeasure candidate information to the production / operation planning apparatus A002 via the communication interface 105. Information on each countermeasure candidate and the current production / operation conditions acquired from the production / operation condition management unit 111 are transmitted, and a plan for each countermeasure candidate is requested (S005).
　そして、生産・運行計画装置Ａ００２の生産・運行計画作成部２１３は、通信インターフェース２０５を介して、各対策候補の情報と現在の生産・運行条件を受信し、メモリ２０２、または記憶装置２０３に格納する。 Then, the production / operation plan creation unit 213 of the production / operation planning apparatus A002 receives the information on each countermeasure candidate and the current production / operation conditions via the communication interface 205, and stores them in the memory 202 or the storage device 203. To do.
　本実施の形態では、生産・運行管理装置Ａ００１の対策案作成部１１３は、メモリ１０２、または記憶装置１０３に格納された機械「Ｅ００１」、部品「Ｐ０１１」、生産・運行条件「Ｂ１１１」と、対策候補（図６のカラム１４１）、追加時間（図６のカラム１４２）の組合せと、生産・運行条件管理部１１１から取得した機械（図５のカラム１３１）、生産・運行条件（図５のカラム１３２）、製品（図５のカラム１３３）の組合せを送信し、各対策候補の計画策定を依頼したとする。また、生産・運行計画装置Ａ００２の生産・運行計画作成部２１３は、生産・運行管理装置Ａ００１より受信したこれら情報をメモリ２０２、または記憶装置２０３に格納したとする。 In the present embodiment, the measure creation unit 113 of the production / operation management apparatus A001 includes the machine “E001”, the part “P011”, the production / operation condition “B111” stored in the memory 102 or the storage device 103, Combinations of candidate countermeasures (column 141 in FIG. 6) and additional time (column 142 in FIG. 6), machines acquired from the production / operation condition management unit 111 (column 131 in FIG. 5), production / operation conditions (in FIG. 5) Assume that a combination of a column 132) and a product (column 133 in FIG. 5) is transmitted and a plan for each countermeasure candidate is requested. Further, it is assumed that the production / operation plan creation unit 213 of the production / operation planning apparatus A002 stores the information received from the production / operation management apparatus A001 in the memory 202 or the storage device 203.
　次に、生産・運行計画装置Ａ００２の生産・運行計画作成部２１３は、対策案を策定する（Ｓ００６）。具体的に、生産・運行計画作成部２１３は、メモリ２０２、または記憶装置２０３に格納された対策候補の情報と、メモリ２０２、または記憶装置２０３に格納された現在の生産・運行条件と、生産・運行能力管理部２１１から取得した生産・運行能力と、生産・運行計画管理部２１２から取得した生産・運行計画をもとに、対策候補の計画を算出し、実現可能なものを対策案として策定する。 Next, the production / operation plan creation unit 213 of the production / operation planning apparatus A002 formulates a countermeasure plan (S006). Specifically, the production / operation plan creation unit 213 includes information on countermeasure candidates stored in the memory 202 or the storage device 203, current production / operation conditions stored in the memory 202 or the storage device 203, and production. -Based on the production / operation capability acquired from the operation capability management unit 211 and the production / operation plan acquired from the production / operation plan management unit 212, a plan of candidate countermeasures is calculated, and a feasible plan is taken Formulate.
　そして、生産・運行計画作成部２１３は、通信インターフェース２０５を介して、生産・運行管理装置Ａ００１へ、策定した各対策案を送信する。そして、生産・運行管理装置Ａ００１の対策案作成部１１３が、通信インターフェース１０５を介して、各対策案を受信し、メモリ１０２、または記憶装置１０３に格納する。 Then, the production / operation plan creation unit 213 transmits the formulated countermeasures to the production / operation management apparatus A001 via the communication interface 205. Then, the countermeasure plan creation unit 113 of the production / operation management apparatus A001 receives each countermeasure plan via the communication interface 105 and stores it in the memory 102 or the storage device 103.
　図１６を参照して、ステップＳ００６における対策案の策定処理について説明する。まず、生産・運行計画装置Ａ００２の生産・運行計画作成部２１３は、メモリ２０２、または記憶装置２０３に格納された対策候補を一つずつ取得する（Ｓ０６１）。対策候補がなくなるまで、以下のステップＳ０６２～ステップＳ０６４の処理を繰り返す。 Referring to FIG. 16, the countermeasure drafting process in step S006 will be described. First, the production / operation plan creation unit 213 of the production / operation planning apparatus A002 acquires the countermeasure candidates stored in the memory 202 or the storage device 203 one by one (S061). The following steps S062 to S064 are repeated until there are no countermeasure candidates.
　すなわち、生産・運行計画作成部２１３は、機械・条件・能力を取得し（Ｓ０６２）、生産時間を計算し（Ｓ０６３）、計算した生産時間が実現可能かを判定して（Ｓ０６４）、実現可能であれば対策案として記録する（Ｓ０６５）。 That is, the production / operation plan creation unit 213 acquires the machine / condition / capacity (S062), calculates the production time (S063), determines whether the calculated production time is realizable (S064), and can be realized. If so, it is recorded as a measure (S065).
　ここで、ステップＳ０６１において、対策候補「そのまま」を取得したとする。この場合、ステップＳ０６２において、生産・運行計画作成部２１３は、メモリ２０２、または記憶装置２０３に格納されている製品「Ｇ００１」の現在の機械「Ｅ００１」、生産・運行条件「Ｂ１１１」（図５のレコード１３４）をもとに、生産・運行能力管理部２１１を介して、生産・運行能力管理テーブルＴ２３０より、生産・運行能力「１０」（図７のレコード２３５）を取得する。 Here, it is assumed that the countermeasure candidate “as is” is acquired in step S061. In this case, in step S062, the production / operation plan creation unit 213 determines the current machine “E001” and the production / operation condition “B111” of the product “G001” stored in the memory 202 or the storage device 203 (FIG. 5). The production / operation capability “10” (record 235 in FIG. 7) is acquired from the production / operation capability management table T230 via the production / operation capability management unit 211.
　そして、ステップＳ０６３において、製品「Ｇ００１」をもとに、生産・運行計画管理部２１２を介して、生産・運行計画管理テーブルより、残り生産量は「８０」（図８のレコード２４４）を取得し、ステップＳ０６２で取得した生産・運行能力「１０」で除算することで、必要な生産時間「８」を算出する。 In step S063, based on the product “G001”, the remaining production amount “80” (record 244 in FIG. 8) is acquired from the production / operation plan management table via the production / operation plan management unit 212. Then, the necessary production time “8” is calculated by dividing by the production / operation capacity “10” acquired in step S062.
　そして、ステップＳ０６４において、対策候補「そのまま」の追加時間である「０」（図６のレコード１４４）を加算し、製品Ｇ００１の生産目標の達成時間「８」を算出する。これは製品Ｇ００１の残り生産時間「１５」（図８のレコード２４４）以下のため、実現可能であると判断する。 In step S 064, “0” (record 144 in FIG. 6), which is the additional time for the countermeasure candidate “as is”, is added to calculate the production target achievement time “8” of the product G001. Since this is less than the remaining production time “15” (record 244 in FIG. 8) of the product G001, it is determined that this is feasible.
　ステップＳ０６４において実現可能であると判定されると、ステップＳ０６５において、対策候補「そのまま」を、生産時間「８」、達成時間「８」とともに対策案としてメモリ２０２、または記憶装置２０３に格納する。 If it is determined in step S064 that it is feasible, in step S065, the countermeasure candidate “as is” is stored in the memory 202 or the storage device 203 as a countermeasure plan together with the production time “8” and the achievement time “8”.
　次に、ステップＳ０６１において、対策候補「条件変更」を取得したとする。この場合、ステップＳ０６２において、生産・運行計画作成部２１３が、メモリ２０２、または記憶装置２０３に格納されている製品「Ｇ００１」の現在の機械「Ｅ００１」、生産・運行条件「Ｂ１１１」（図５のレコード１３４）をもとに、生産・運行能力管理部２１１を介して、生産・運行能力管理テーブルＴ２３０より、機械「Ｅ００１」で製品「Ｇ００１」を生産できる他の生産・運行条件「Ｂ１１２」、生産・運行能力「６」（図７のレコード２３６）を取得する。 Next, it is assumed that a countermeasure candidate “condition change” is acquired in step S061. In this case, in step S062, the production / operation plan creation unit 213 determines that the current machine “E001” and the production / operation condition “B111” of the product “G001” stored in the memory 202 or the storage device 203 (FIG. 5). Based on the record 134), another production / operation condition “B112” in which the product “G001” can be produced by the machine “E001” from the production / operation capability management table T230 via the production / operation capability management unit 211. The production / operation capability “6” (record 236 in FIG. 7) is acquired.
　そして、ステップＳ０６３において、製品「Ｇ００１」をもとに、生産・運行計画管理部２１２を介して、生産・運行計画管理テーブルより、残り生産量は「８０」（図８のレコード２４４）を取得し、ステップＳ０６２で取得した生産・運行能力「６」で除算することで、必要な生産時間「１４」を算出する。ここで、小数点以下を切り上げで時間の計算をしたが、他の方法で端数処理を行ってもよい。 In step S063, based on the product “G001”, the remaining production amount “80” (record 244 in FIG. 8) is acquired from the production / operation plan management table via the production / operation plan management unit 212. Then, the necessary production time “14” is calculated by dividing by the production / operation capacity “6” acquired in step S062. Here, the time is calculated by rounding up the fractional part, but fraction processing may be performed by other methods.
　そして、ステップＳ０６４において、対策候補「条件変更」の追加時間である「１」（図６のレコード１４５）を加算し、製品Ｇ００１の生産目標の達成時間「１５」を算出する。これは製品Ｇ００１の残り生産時間「１５」（図８のレコード２４４）以下のため、実現可能であると判断する。 In step S 064, “1” (record 145 in FIG. 6), which is the additional time of the countermeasure candidate “condition change”, is added to calculate the production target achievement time “15” of the product G001. Since this is less than the remaining production time “15” (record 244 in FIG. 8) of the product G001, it is determined that this is feasible.
　ステップＳ０６４において実現可能であると判定されると、ステップＳ０６５において、対策候補「条件変更」を生産・運行条件「Ｂ１１２」、生産時間「１４」、達成時間「１５」とともに対策案としてメモリ２０２、または記憶装置２０３に格納する。 If it is determined in step S064 that it is feasible, in step S065, the countermeasure candidate “condition change” is stored as a countermeasure 202 together with the production / operation condition “B112”, the production time “14”, and the achievement time “15”. Alternatively, it is stored in the storage device 203.
　次に、ステップＳ０６１において、対策候補「製品変更」を取得したとする。この場合、ステップＳ０６２において、生産・運行計画作成部２１３が、メモリ２０２、または記憶装置２０３に格納されている製品「Ｇ００１」の現在の機械「Ｅ００１」、生産・運行条件「Ｂ１１１」（図５のレコード１３４）と製品「Ｇ００２」の現在の機械「Ｅ００２」、生産・運行条件「Ｂ２２１」（図５のレコード１３５）をもとに、生産・運行能力管理部２１１を介して、生産・運行能力管理テーブルＴ２３０より、機械「Ｅ００１」と生産する製品を交換できる機械「Ｅ００２」、生産・運行条件「Ｂ２１１」、生産・運行能力「８」（図７のレコード２３８）と、機械「Ｅ００１」、生産・運行条件「Ｂ１２１」、製品「Ｇ００２」、生産・運行能力「８」（図７のレコード２３７）を取得する。 Next, it is assumed that the countermeasure candidate “product change” is acquired in step S061. In this case, in step S062, the production / operation plan creation unit 213 determines that the current machine “E001” and the production / operation condition “B111” of the product “G001” stored in the memory 202 or the storage device 203 (FIG. 5). Record 134), the current machine “E002” of the product “G002”, and production / operation conditions “B221” (record 135 in FIG. 5), production / operation through the production / operation capacity management unit 211 From the capability management table T230, the machine “E002” that can exchange the product to be produced with the machine “E001”, the production / operation condition “B211”, the production / operation capability “8” (record 238 in FIG. 7), and the machine “E001” The production / operation condition “B121”, the product “G002”, and the production / operation capability “8” (record 237 in FIG. 7) are acquired.
　そして、ステップＳ０６３において、製品「Ｇ００１」をもとに、生産・運行計画管理部２１２を介して、生産・運行計画管理テーブルより、残り生産量は「８０」（図８のレコード２４４）を取得し、ステップＳ０６２で取得した製品Ｇ００１の生産・運行能力「８」で除算することで、必要な生産時間「１０」を算出する。また、製品「Ｇ００２」をもとに、生産・運行計画管理部２１２を介して、生産・運行計画管理テーブルより、残り生産量は「１５０」（図８のレコード２４４）を取得し、ステップＳ０６２で取得した製品Ｇ００２の生産・運行能力「８」で除算することで、必要な生産時間「１９」を算出する。ここで、小数点以下を切り上げで時間の計算をしたが、他の方法で端数処理を行ってもよい。 In step S063, based on the product “G001”, the remaining production amount “80” (record 244 in FIG. 8) is acquired from the production / operation plan management table via the production / operation plan management unit 212. Then, the necessary production time “10” is calculated by dividing by the production / operation capacity “8” of the product G001 acquired in step S062. Further, based on the product “G002”, the remaining production amount “150” (record 244 in FIG. 8) is acquired from the production / operation plan management table via the production / operation plan management unit 212, and step S062 is performed. The necessary production time “19” is calculated by dividing by the production / operation capacity “8” of the product G002 acquired in step (b). Here, the time is calculated by rounding up the fractional part, but fraction processing may be performed by other methods.
　そして、ステップＳ０６４において、対策候補「製品変更」の追加時間である「１」（図６のレコード１４６）を加算し、製品Ｇ００１の生産目標の達成時間「１１」と製品Ｇ００２の製品目標の達成時間「２０」を算出する。これは製品Ｇ００１の残り生産時間「１５」（図８のレコード２４４）以下であり、製品Ｇ００２の残り生産時間「３０」（図８のレコード２４５）以下のため、実現可能であると判断する。 In step S 064, “1” (record 146 in FIG. 6), which is the additional time of the countermeasure candidate “product change”, is added to achieve the production target achievement time “11” of the product G001 and the product goal of the product G002. Time “20” is calculated. This is less than the remaining production time “15” (record 244 in FIG. 8) of the product G001 and less than the remaining production time “30” (record 245 in FIG. 8) of the product G002.
　ステップＳ０６４において実現可能であると判定されると、ステップＳ０６５において、対策候補「製品交換」を製品「Ｇ００１」、機械「Ｅ００２」、生産・運行条件「Ｂ２１１」、生産時間「１０」、達成時間「１１」と製品「Ｇ００２」、機械「Ｅ００１」、生産・運行条件「Ｂ１２１」、生産時間「１９」、達成時間「２０」ともに対策案としてメモリ２０２、または記憶装置２０３に格納する。 If it is determined in step S 064 that it is feasible, in step S 065, the countermeasure candidate “product replacement” is the product “G001”, the machine “E002”, the production / operation condition “B211”, the production time “10”, and the achievement time. “11”, product “G002”, machine “E001”, production / operation condition “B121”, production time “19”, and achievement time “20” are stored in the memory 202 or the storage device 203 as countermeasures.
　次に、ステップＳ０６１において、対策候補「製品委託」を取得したとする。この場合、ステップＳ０６２において、生産・運行計画作成部２１３が、メモリ２０２、または記憶装置２０３に格納されている製品「Ｇ００１」の現在の機械「Ｅ００１」、生産・運行条件「Ｂ１１１」（図５のレコード１３４）と製品「Ｇ００２」の現在の機械「Ｅ００２」、生産・運行条件「Ｂ２２１」（図５のレコード１３５）をもとに、生産・運行能力管理部２１１を介して、生産・運行能力管理テーブルＴ２３０より、製品「Ｇ００１」を委託できる機械「Ｅ００２」、生産・運行条件「Ｂ２１１」、生産・運行能力「８」（図７のレコード２３８）を取得する。ただし、機械Ｅ００２では製品Ｇ００１と製品Ｇ００１、製品Ｇ００２の両方を生産するので生産・運行能力が半分の「４」になるとする。ここで、複数製品の生産時における機械の性能の変化は、製品や時間分割の割合に応じて調整してもよい。 Next, it is assumed that the countermeasure candidate “product consignment” is acquired in step S061. In this case, in step S062, the production / operation plan creation unit 213 determines that the current machine “E001” and the production / operation condition “B111” of the product “G001” stored in the memory 202 or the storage device 203 (FIG. 5). Record 134), the current machine “E002” of the product “G002”, and production / operation conditions “B221” (record 135 in FIG. 5), production / operation through the production / operation capacity management unit 211 The machine “E002” to which the product “G001” can be commissioned, the production / operation condition “B211”, and the production / operation capability “8” (record 238 in FIG. 7) are acquired from the capability management table T230. However, since the machine E002 produces both the product G001, the product G001, and the product G002, the production / operation capacity is assumed to be “4”, which is half. Here, the change in the performance of the machine during the production of a plurality of products may be adjusted according to the product and the ratio of time division.
　そして、ステップＳ０６３において、製品「Ｇ００１」をもとに、生産・運行計画管理部２１２を介して、生産・運行計画管理テーブルより、残り生産量は「８０」（図８のレコード２４４）を取得し、ステップＳ０６２で取得した生産・運行能力「４」で除算することで、必要な生産時間「２０」を算出する。 In step S063, based on the product “G001”, the remaining production amount “80” (record 244 in FIG. 8) is acquired from the production / operation plan management table via the production / operation plan management unit 212. Then, the necessary production time “20” is calculated by dividing by the production / operation capacity “4” acquired in step S062.
　そして、ステップＳ０６４において、対策候補「製品委託」の追加時間である「１」（図６のレコード１４７）を加算し、製品Ｇ００１の生産目標を達成するために必要となる時間として「２１」を算出する。これは製品Ｇ００１の残り生産時間「１５」（図８のレコード２４４）より長いため、実現不可能であると判断する。 In step S 064, “1” (record 147 in FIG. 6) as the additional time for the countermeasure candidate “product consignment” is added, and “21” is added as the time required to achieve the production target of the product G001. calculate. Since this is longer than the remaining production time “15” of the product G001 (record 244 in FIG. 8), it is determined that it cannot be realized.
　次に、ステップＳ０６１において、対策候補「機械交換」を取得したとする。この場合、ステップＳ０６２において、生産・運行計画作成部２１３が、メモリ２０２、または記憶装置２０３に格納されている製品「Ｇ００１」の現在の機械「Ｅ００１」、生産・運行条件「Ｂ１１１」（図５のレコード１３４）と機械「Ｅ００３」、生産・運行条件「－」、製品「－」（図５のレコード１３６）をもとに、生産・運行能力管理部２１１を介して、生産・運行能力管理テーブルＴ２３０より、機械「Ｅ００１」と交換できる機械「Ｅ００３」、生産・運行条件「Ｂ３１１」、生産・運行能力「８」（図７のレコード２３９）を取得する。 Next, it is assumed that the countermeasure candidate “machine replacement” is acquired in step S061. In this case, in step S062, the production / operation plan creation unit 213 determines that the current machine “E001” and the production / operation condition “B111” of the product “G001” stored in the memory 202 or the storage device 203 (FIG. 5). Production / operation capacity management via the production / operation capacity management unit 211 based on the record 134), the machine “E003”, the production / operation condition “−”, and the product “−” (record 136 in FIG. 5). The machine “E003” that can be exchanged for the machine “E001”, the production / operation condition “B311”, and the production / operation capability “8” (record 239 in FIG. 7) are acquired from the table T230.
　そして、ステップＳ０６３において、製品「Ｇ００１」をもとに、生産・運行計画管理部２１２を介して、生産・運行計画管理テーブルより、残り生産量は「８０」（図８のレコード２４４）を取得し、ステップＳ０６２で取得した生産・運行能力「８」で除算することで、必要な生産時間「１０」を算出する。 In step S063, based on the product “G001”, the remaining production amount “80” (record 244 in FIG. 8) is acquired from the production / operation plan management table via the production / operation plan management unit 212. Then, the necessary production time “10” is calculated by dividing by the production / operation capacity “8” acquired in step S062.
　そして、ステップＳ０６４において、対策候補「機械交換」の追加時間である「３」（図６のレコード１４８）を加算し、製品Ｇ００１の生産目標を達成するために必要となる時間として「１３」を算出する。これは製品Ｇ００１の残り生産時間「１５」（図８のレコード２４４）以下ため、実現可能であると判断する。 In step S 064, “3” (record 148 in FIG. 6), which is the additional time of the countermeasure candidate “machine replacement”, is added, and “13” is set as the time required to achieve the production target of the product G001. calculate. Since this is less than the remaining production time “15” (record 244 in FIG. 8) of the product G001, it is determined that this is feasible.
　そして、ステップＳ０６５において、対策候補「機械交換」を機械「Ｅ００３」、生産・運行条件「Ｂ３１１」、生産時間「１０」、達成時間「１３」とともに対策案としてメモリ２０２、または記憶装置２０３に格納する。 In step S065, the countermeasure candidate “machine replacement” is stored in the memory 202 or the storage device 203 as a countermeasure plan together with the machine “E003”, the production / operation condition “B311”, the production time “10”, and the achievement time “13”. To do.
　次に、ステップＳ０６１において、対策候補「部品交換」を取得したとする。この場合、ステップＳ０６２において、生産・運行計画作成部２１３が、メモリ２０２、または記憶装置２０３に格納されている製品「Ｇ００１」の現在の機械「Ｅ００１」、生産・運行条件「Ｂ１１１」（図５のレコード１３４）をもとに、生産・運行能力管理部２１１を介して、生産・運行能力管理テーブルＴ２３０より、生産・運行能力「１０」（図７のレコード２３５）を取得する。 Next, it is assumed that the countermeasure candidate “part replacement” is acquired in step S061. In this case, in step S062, the production / operation plan creation unit 213 determines that the current machine “E001” and the production / operation condition “B111” of the product “G001” stored in the memory 202 or the storage device 203 (FIG. 5). The production / operation capability “10” (record 235 in FIG. 7) is acquired from the production / operation capability management table T230 via the production / operation capability management unit 211.
　そして、ステップＳ０６３において、製品「Ｇ００１」をもとに、生産・運行計画管理部２１２を介して、生産・運行計画管理テーブルより、残り生産量は「８０」（図８のレコード２４４）を取得し、ステップＳ０６２で取得した生産・運行能力「１０」で除算することで、必要な生産時間「８」を算出する。 In step S063, based on the product “G001”, the remaining production amount “80” (record 244 in FIG. 8) is acquired from the production / operation plan management table via the production / operation plan management unit 212. Then, the necessary production time “8” is calculated by dividing by the production / operation capacity “10” acquired in step S062.
　そして、ステップＳ０６４において、対策候補「部品交換」の追加時間である「１０」（図６のレコード１４９）を加算し、製品Ｇ００１の生産目標を達成するために必要となる時間として「１８」を算出する。これは製品Ｇ００１の残り生産時間「１５」（図８のレコード２４４）より長いため、実現不可能であると判断する。 In step S 064, “10” (record 149 in FIG. 6), which is the additional time for the countermeasure candidate “part replacement”, is added, and “18” is set as the time required to achieve the production target of the product G001. calculate. Since this is longer than the remaining production time “15” of the product G001 (record 244 in FIG. 8), it is determined that it cannot be realized.
　ここで、対策候補として製品Ｇ００１の生産を他ベンダへ委託するなどして、複数機械で分散生産するようにしてもよい。 Here, the production of the product G001 may be outsourced to other vendors as a countermeasure candidate, so that it can be distributedly produced by a plurality of machines.
　図１３に戻り、生産・運行管理装置Ａ００１の対策案作成部１１３は、メモリ１０２、または記憶装置１０３に格納された対策候補の情報に含まれる各対策候補の稼動リスクを算出するために、通信インターフェース１０５を介して、保守管理装置Ａ００３へ、メモリ１０２、または記憶装置１０３に格納された各対策候補の計画を送信し、各対策候補の稼動リスク計算を依頼する（Ｓ００７）。そして、保守管理装置Ａ００３の稼動リスク計算部３１３は、通信インターフェース３０５を介して、各対策候補の情報とその計画を受信し、メモリ３０２、または記憶装置３０３に格納する。 Returning to FIG. 13, the countermeasure plan creation unit 113 of the production / operation management apparatus A001 performs communication in order to calculate the operation risk of each countermeasure candidate included in the countermeasure candidate information stored in the memory 102 or the storage device 103. The plan of each countermeasure candidate stored in the memory 102 or the storage device 103 is transmitted to the maintenance management apparatus A003 via the interface 105, and an operation risk calculation of each countermeasure candidate is requested (S007). Then, the operation risk calculation unit 313 of the maintenance management apparatus A003 receives information on each countermeasure candidate and its plan via the communication interface 305, and stores them in the memory 302 or the storage device 303.
　次に、保守管理装置Ａ００３の稼動リスク計算部３１３は、対策案の稼動リスクを計算する（Ｓ００８）。具体的に、稼動リスク計算部３１３は、メモリ３０２、または記憶装置３０３に格納された対策候補の情報と、メモリ３０２、または記憶装置３０３に格納された対策案と、稼動リスク定数管理部３１１から取得した稼動リスク定数と、稼動リスク管理部３１２から取得した現在の稼動リスクをもとに、対策案の稼動リスクを計算する。 Next, the operation risk calculation unit 313 of the maintenance management apparatus A003 calculates the operation risk of the countermeasure plan (S008). Specifically, the operation risk calculation unit 313 includes information on countermeasure candidates stored in the memory 302 or the storage device 303, a countermeasure plan stored in the memory 302 or the storage device 303, and the operation risk constant management unit 311. Based on the acquired operation risk constant and the current operation risk acquired from the operation risk management unit 312, the operation risk of the countermeasure plan is calculated.
　続いて、稼動リスク計算部３１３が、通信インターフェース３０５を介して、生産・運行管理装置Ａ００１へ、計算した各対策案の稼動リスクを送信する。そして、生産・運行管理装置Ａ００１の対策案作成部１１３が、通信インターフェース１０５を介して、各対策案の稼動リスクを受信し、メモリ１０２、または記憶装置１０３に格納する。 Subsequently, the operation risk calculation unit 313 transmits the calculated operation risk of each countermeasure plan to the production / operation management apparatus A001 via the communication interface 305. Then, the measure plan creation unit 113 of the production / operation management apparatus A001 receives the operation risk of each measure plan via the communication interface 105 and stores it in the memory 102 or the storage device 103.
　図１７を参照して、ステップＳ００８における稼動リスクの計算処理について説明する。まず、保守管理装置Ａ００３の稼動リスク計算部３１３は、メモリ３０２、または記憶装置３０３に格納された対策案を一つずつ取得する（Ｓ０８１）。対策案がなくなるまで、以下のステップＳ０８２～ステップＳ０８３を繰り返す。 Referring to FIG. 17, the operation risk calculation process in step S008 will be described. First, the operation risk calculation unit 313 of the maintenance management device A003 obtains countermeasures stored in the memory 302 or the storage device 303 one by one (S081). The following steps S082 to S083 are repeated until there are no countermeasures.
　すなわち、稼動リスク計算部３１３は、経時劣化のリスク増加を計算し（Ｓ０８２）、稼動リスクを記録する（Ｓ０８３）。 That is, the operation risk calculation unit 313 calculates an increase in the risk of deterioration with time (S082), and records the operation risk (S083).
　ステップＳ０８１において、対策案「そのまま」を取得したとする。この場合、ステップＳ０８２において、機械「Ｅ００１」、生産・運行条件「Ｂ１１１」をもとに、稼動リスク定数管理部３１１を介して、経時劣化リスク管理テーブルＴ３３０より、部品Ｐ０１１の稼動リスク増加係数「１５」（図９のレコード３３５）を取得し、生産時間「８」と乗算することで、経時劣化のリスク増加「１２０」を算出する。 Suppose that the countermeasure plan “as is” is acquired in step S081. In this case, in step S082, based on the machine “E001” and the production / operation condition “B111”, the operation risk increase coefficient “of the component P011 from the time-dependent deterioration risk management table T330 via the operation risk constant management unit 311. 15 ”(record 335 in FIG. 9) is obtained and multiplied by the production time“ 8 ”to calculate a risk increase“ 120 ”of deterioration with time.
　そして、ステップＳ０８３において、このリスク増加「１２０」を、ステップＳ００２で算出した部品Ｐ０１１の現在の稼動リスク「１９５０」に加算することで、稼動リスク「２０７０」を算出し、対策案「そのまま」とともにメモリ３０２、または記憶装置３０３に格納する。 In step S083, the risk increase “120” is added to the current operation risk “1950” of the component P011 calculated in step S002, thereby calculating the operation risk “2070” and the countermeasure plan “as is”. It is stored in the memory 302 or the storage device 303.
　次に、ステップＳ０８１において、対策案「条件変更」を取得したとする。この場合、ステップＳ０８２において、機械「Ｅ００１」、生産・運行条件「Ｂ１１２」をもとに、稼動リスク定数管理部３１１を介して、経時劣化リスク管理テーブルＴ３３０より、部品Ｐ０１１の稼動リスク増加係数「３」（図９のレコード３３５）を取得し、生産時間「１４」と乗算することで、経時劣化のリスク増加「４２」を算出する。 Next, it is assumed that the measure “condition change” is acquired in step S081. In this case, in step S082, based on the machine “E001” and the production / operation condition “B112”, the operation risk increase coefficient “of the part P011 is determined from the time-dependent deterioration risk management table T330 via the operation risk constant management unit 311. 3 ”(record 335 in FIG. 9) is obtained and multiplied by the production time“ 14 ”to calculate the risk increase“ 42 ”of deterioration with time.
　そして、ステップＳ０８３において、このリスク増加「４２」を、ステップＳ００２で算出した部品Ｐ０１１の現在の稼動リスク「１９５０」に加算することで、稼動リスク「１９９２」を算出し、対策案「条件変更」とともにメモリ３０２、または記憶装置３０３に格納する。 In step S083, the risk increase “42” is added to the current operation risk “1950” of the component P011 calculated in step S002, thereby calculating the operation risk “1992” and the countermeasure proposal “condition change”. At the same time, it is stored in the memory 302 or the storage device 303.
　次に、ステップＳ０８１において、対策案「製品変更」を取得したとする。この場合、ステップＳ０８２において、機械「Ｅ００１」、生産・運行条件「Ｂ１２１」をもとに、稼動リスク定数管理部３１１を介して、経時劣化リスク管理テーブルＴ３３０より、部品Ｐ０１１の稼動リスク増加係数は取得できない。この場合、部品Ｐ０１１の稼動リスクは増加しないものとする。ここで、部品を使用しなくとも稼動リスクは増加する方針で計算してもよい。 Next, it is assumed that the measure proposal “product change” is acquired in step S081. In this case, in step S082, based on the machine “E001” and the production / operation condition “B121”, the operation risk increase coefficient of the component P011 is calculated from the time-dependent deterioration risk management table T330 via the operation risk constant management unit 311. can not get. In this case, it is assumed that the operation risk of the component P011 does not increase. Here, the operation risk may be calculated with a policy of increasing without using parts.
　そして、ステップＳ０８３において、部品Ｐ０１１の現在の稼動リスク「１９５０」を、対策案「製品変更」とともにメモリ３０２、または記憶装置３０３に格納する。 In step S083, the current operation risk “1950” of the part P011 is stored in the memory 302 or the storage device 303 together with the countermeasure proposal “product change”.
　次に、ステップＳ０８１において、対策案「機械交換」を取得したとする。この場合、ステップＳ０８２において、機械「Ｅ００１」、生産・運行条件「－」をもとに、稼動リスク定数管理部３１１を介して、経時劣化リスク管理テーブルＴ３３０より、部品Ｐ０１１の稼動リスク増加係数は取得できない。この場合、部品Ｐ０１１の稼動リスクは増加しないものとする。ここで、機械を動作しなくとも稼動リスクは増加する方針で計算してもよい。 Next, it is assumed that a countermeasure plan “machine replacement” is acquired in step S081. In this case, in step S082, based on the machine “E001” and the production / operation condition “−”, the operation risk increase coefficient of the component P011 is calculated from the time-dependent deterioration risk management table T330 via the operation risk constant management unit 311. can not get. In this case, it is assumed that the operation risk of the component P011 does not increase. Here, the operation risk may be calculated with a policy of increasing without operating the machine.
　そして、ステップＳ０８３において、部品Ｐ０１１の現在の稼動リスク「１９５０」を、対策案「機械交換」とともにメモリ３０２、または記憶装置３０３に格納する。 In step S083, the current operation risk “1950” of the part P011 is stored in the memory 302 or the storage device 303 together with the countermeasure plan “machine replacement”.
　図１３に戻り、ステップＳ００９において、生産・運行管理装置Ａ００１の対策案作成部１１３は、メモリ１０２、または記憶装置１０３に格納された故障予兆と対策案の情報を、ユーザインターフェース１０４を介して、ユーザに提示する。ここで、保守管理装置Ａ００３の稼動リスク定数管理部３１１から取得できるリスク閾値などを用いて修飾してもよい。 Returning to FIG. 13, in step S <b> 009, the countermeasure plan creation unit 113 of the production / operation management apparatus A <b> 001 receives the failure sign and the countermeasure plan information stored in the memory 102 or the storage device 103 via the user interface 104. Present to the user. Here, it may be modified using a risk threshold that can be acquired from the operation risk constant management unit 311 of the maintenance management apparatus A003.
　図１８を参照して、対策案の提示例について説明する。検知した故障予兆の情報（図１８の表示項目Ｃ００１）とともに、対策案を一覧（図１８の表示項目Ｃ００２）で表示する。対策案には、ステップＳ００５～Ｓ００８で算出した生産目標を達成するための必要となる時間、検知した故障予兆の対象である機械Ｅ００１の部品Ｐ０１１の目標を達成したときの稼動リスクを表示する。さらに、対策案の追加費用（図６のカラム１４３）も表示する。 Referring to FIG. 18, an example of presenting a countermeasure plan will be described. A list of countermeasures (display item C002 in FIG. 18) is displayed together with information on the detected failure signs (display item C001 in FIG. 18). The countermeasure proposal displays the time required to achieve the production target calculated in steps S005 to S008 and the operation risk when the target of the component P011 of the machine E001 that is the target of the detected failure sign is achieved. Further, the additional cost of the countermeasure plan (column 143 in FIG. 6) is also displayed.
　また、保守管理装置Ａ００３の稼動リスク定数管理部３１１から取得できる機械Ｅ００１の部品Ｐ０１１の稼動リスク閾値は「２０００」（図１１のレコード３５４）であるため、対策案の稼動リスクの中にそれを超えるものがある場合には背景を着色する（図１８の表示項目Ｃ００３）。また、対策案の稼動リスクの中に現在の稼動リスクから変動がない（部品Ｐ０１１が使用されない）ものがある場合には文字を斜体にする（図１８の表示項目Ｃ００４）。 In addition, since the operation risk threshold of the part P011 of the machine E001 that can be acquired from the operation risk constant management unit 311 of the maintenance management apparatus A003 is “2000” (record 354 in FIG. 11), this is included in the operation risk of the countermeasure plan. If there is an excess, the background is colored (display item C003 in FIG. 18). Further, when there is a change in the operation risk of the countermeasure plan from the current operation risk (part P011 is not used), the text is italicized (display item C004 in FIG. 18).
　ここで、ユーザは、その時点の運営状況において重視する項目（時間、リスク、費用）の順に並び換えるなどして（図１８の表示項目Ｃ００７、Ｃ００８、Ｃ００９）、対策案を選択し（図１８の表示項目Ｃ０１０）、対策実行を指示する（図１８の表示項目Ｃ０１１）と、生産・運行管理装置Ａ００１の対策実行部１１４が選択された対策を実行する。その際、生産・運行計画装置Ａ００２の管理する生産・運行計画を反映するだけでもよいし、機械へ自動的に指示を送ってもよいし、部品発注システムなどの他システムや保守員コールシステムなど他社システムと連動してもよい。 Here, the user selects countermeasures by rearranging the items (time, risk, cost) that are important in the operation status at that time (display items C007, C008, C009 in FIG. 18), etc. (FIG. 18). Display item C010) and instructing execution of the countermeasure (display item C011 in FIG. 18), the countermeasure execution unit 114 of the production / operation management apparatus A001 executes the selected countermeasure. At that time, the production / operation plan managed by the production / operation planning apparatus A002 may only be reflected, instructions may be automatically sent to the machine, other systems such as a parts ordering system, maintenance personnel call system, etc. It may be linked with other company systems.
（１－３）本実施の形態の効果
　上記実施の形態によれば、機械Ｅ００１等の生産・運行を管理する生産・運行管理装置Ａ００１と、機械の生産・運行を計画する生産・運行計画装置Ａ００２と、機械の稼動状態や稼動リスクを管理する保守管理装置Ａ００３と、を有する運行最適化支援システムは、保守管理装置Ａ００３が、機械の故障予兆を検知し、生産・運行管理装置Ａ００１が、生産・運行計画装置Ａ００２の管理する生産・運行計画、及び、保守管理装置Ａ００３の管理する稼動リスクを用いて、保守管理装置Ａ００３により検知された故障予兆に対する対策案を作成する。これにより、機械の故障予兆を検知した際に、機械運行を最適化するために、その時点の運営状況において重視する項目に従ったユーザの意思決定を支援することができる。 (1-3) Effects of this Embodiment According to the above embodiment, the production / operation management apparatus A001 that manages the production / operation of the machine E001 and the like, and the production / operation planning apparatus that plans the production / operation of the machine The operation optimization support system having A002 and the maintenance management device A003 that manages the operation state and operation risk of the machine, the maintenance management device A003 detects a failure sign of the machine, and the production / operation management device A001 Using the production / operation plan managed by the production / operation planning apparatus A002 and the operation risk managed by the maintenance / management apparatus A003, a countermeasure plan for the failure sign detected by the maintenance / management apparatus A003 is created. Thereby, when a failure sign of a machine is detected, in order to optimize the machine operation, it is possible to support the user's decision making according to the items emphasized in the operation status at that time.
（２）第２の実施の形態
（２－１）運行最適化支援システムの構成
　本実施の形態では、第１の実施の形態において、生産・運行管理装置Ａ００１が、対策案を提示する際に、ＦＭＥＡ（Failure　Mode　and　Effects　Analysis）の情報を付加することとなる。ＦＭＥＡとは、機械の故障モードとその影響を解析する分析方法である。 (2) Second Embodiment (2-1) Configuration of Operation Optimization Support System In this embodiment, when the production / operation management apparatus A001 presents a countermeasure plan in the first embodiment, , FMEA (Failure Mode and Effects Analysis) information will be added. FMEA is an analysis method for analyzing a failure mode of a machine and its influence.
　図１９を参照して、運行最適化支援システムを構成する各装置の構成について説明する。ここで、生産・運行管理装置Ａ００１、生産・運行計画装置Ａ００２及び保守管理装置Ａ００３の構成は第１の実施の形態と同様であるため詳細な説明は省略する。 Referring to FIG. 19, the configuration of each device constituting the operation optimization support system will be described. Here, since the configurations of the production / operation management device A001, the production / operation planning device A002, and the maintenance management device A003 are the same as those in the first embodiment, a detailed description thereof will be omitted.
　以下では、本実施の形態に特有な品質保証装置Ａ００４の構成について詳細に説明する。図１９は、品質保証装置Ａ００４の概略構成を例示する図である。図１９に示すように、品質保証装置Ａ００４は、ＣＰＵ４０１と、メモリ４０２と、記憶装置４０３と、ユーザインターフェース４０４と、通信インターフェース４０５と、ＦＭＥＡ管理部４１１と、予兆対応管理部４１２を備え、これらが内部バス４００を介して相互に送受信できるように設計されている。 Hereinafter, the configuration of the quality assurance device A004 unique to the present embodiment will be described in detail. FIG. 19 is a diagram illustrating a schematic configuration of the quality assurance device A004. As shown in FIG. 19, the quality assurance device A004 includes a CPU 401, a memory 402, a storage device 403, a user interface 404, a communication interface 405, an FMEA management unit 411, and an indication correspondence management unit 412. Are designed to be able to communicate with each other via the internal bus 400.
　品質保証装置Ａ００４における汎用的な構成要素であるＣＰＵ４０１と、メモリ４０２と、記憶装置４０３と、ユーザインターフェース４０４と、通信インターフェース４０５については、図２に示した生産・運行管理装置Ａ００１のＣＰＵ１０１と、メモリ１０２と、記憶装置１０３と、ユーザインターフェース１０４と、通信インターフェース１０５と同様の機能を有するため詳細な説明は省略する。 Regarding the CPU 401, the memory 402, the storage device 403, the user interface 404, and the communication interface 405, which are general-purpose components in the quality assurance device A004, the CPU 101 of the production / operation management device A001 shown in FIG. Since the memory 102, the storage device 103, the user interface 104, and the communication interface 105 have the same functions, detailed descriptions thereof are omitted.
　次に、品質保証装置Ａ００４における本実施の形態に特有な構成要素について説明する。 Next, components unique to the present embodiment in the quality assurance device A004 will be described.
　ＦＭＥＡ管理部４１１は、メモリ４０２、または記憶装置４０３に格納されている、起こりうる故障モードとその原因、影響、重要度を示すＦＭＥＡ項目を、ＦＭＥＡ管理テーブルＴ４３０に登録し、更新などの処理を行う装置である。ＦＭＥＡ管理テーブルＴ４３０の詳細に関しては後述する。 The FMEA management unit 411 registers FMEA items indicating possible failure modes and their causes, effects, and importance stored in the memory 402 or the storage device 403 in the FMEA management table T430, and performs processing such as updating. It is a device to perform. Details of the FMEA management table T430 will be described later.
　予兆対応管理部４１２は、メモリ４０２、または記憶装置４０３に格納されている予兆とＦＭＥＡ項目との対応関係を、予兆対応管理テーブルＴ４４０に登録し、更新などの処理を行う装置である。予兆対応管理テーブルＴ４４０の詳細に関しては後述する。 The sign correspondence management unit 412 is a device that registers the correspondence relationship between the sign stored in the memory 402 or the storage device 403 and the FMEA item in the sign correspondence management table T440 and performs processing such as update. Details of the sign correspondence management table T440 will be described later.
　次に、運行最適化支援システムが利用するテーブルについてそのデータ構成などを説明する。ここで、Ｔ１３０、Ｔ１４０、Ｔ２３０、Ｔ２４０、Ｔ３３０、Ｔ３４０、Ｔ３５０及びＴ３６０の構成は、第１の実施の形態と同様であるため詳細な説明は省略する。 Next, the data structure of the table used by the operation optimization support system will be described. Here, since the configurations of T130, T140, T230, T240, T330, T340, T350, and T360 are the same as those in the first embodiment, detailed description thereof is omitted.
　図２０は、ＦＭＥＡ管理テーブルＴ４３０の構成例を示す図である。ＦＭＥＡ管理テーブルＴ４３０は、上記図１９の説明でも述べたように、ＦＭＥＡ管理部４１１が管理する起こりうる故障モードを示すＦＭＥＡのリストである。 FIG. 20 is a diagram illustrating a configuration example of the FMEA management table T430. The FMEA management table T430 is a list of FMEAs indicating possible failure modes managed by the FMEA management unit 411 as described in the description of FIG.
　図２０に示すように、ＦＭＥＡ管理テーブルＴ４３０は、ＦＭＥＡ項目の識別子を格納する項目カラム４３１、ＦＭＥＡ項目が示す故障モードを格納するモードカラム４３２、ＦＭＥＡ項目が示す故障モードの原因を格納する原因カラム４３３、ＦＭＥＡ項目が示す故障モードの影響を格納する影響カラム４３４、ＦＭＥＡ項目が示す故障モードの重要度を格納する重要度カラム４３５などで構成される。 As illustrated in FIG. 20, the FMEA management table T430 includes an item column 431 that stores an identifier of the FMEA item, a mode column 432 that stores a failure mode indicated by the FMEA item, and a cause column that stores the cause of the failure mode indicated by the FMEA item. 433, an influence column 434 that stores the influence of the failure mode indicated by the FMEA item, and an importance column 435 that stores the importance of the failure mode indicated by the FMEA item.
　図２０の例では、ＦＭＥＡ項目Ｆ００１は機械Ｅ００１、部品Ｐ０１１、故障モード「破損」の原因は「劣化」、影響は「停止」、重要度は「２７」機械Ｅ００２であることがわかる。 In the example of FIG. 20, it can be seen that FMEA item F001 is machine E001, component P011, failure mode “damage” is caused by “deterioration”, influence is “stop”, and importance is “27” machine E002.
　図２１は、予兆対応管理テーブルＴ４４０の構成例を示す図である。予兆対応管理テーブルＴ４４０は、上記図１９の説明でも述べたとおり、予兆対応管理部４１２が管理する故障予兆とＦＭＥＡ項目との対応関係のリストである。 FIG. 21 is a diagram showing a configuration example of the sign correspondence management table T440. The sign correspondence management table T440 is a list of correspondence relationships between failure signs and FMEA items managed by the sign correspondence management unit 412 as described in the description of FIG.
　図２１に示すように、予兆対応管理テーブルＴ４４０は、診断する故障予兆の識別子を格納する故障予兆カラム４４１、故障予兆に関係する機械の識別子を格納する機械カラム４４２、故障予兆に関係する部品の識別子を格納する部品カラム４４３、故障予兆に対応するＦＭＥＡ項目の識別子を格納する項目カラム４４４などで構成される。 As shown in FIG. 21, the predictive correspondence management table T440 includes a failure predictor column 441 for storing an identifier of a failure predictor to be diagnosed, a machine column 442 for storing an identifier of a machine related to the failure predictor, and a part related to the failure predictor. The component column 443 stores an identifier, the item column 444 stores an identifier of an FMEA item corresponding to a failure sign, and the like.
　図２１の例では、機械Ｅ００１、部品Ｐ０１１、故障予兆Ｄ００１はＦＭＥＡ項目Ｆ００１と対応していることがわかる。なお、故障予兆「－」は、すべての故障予兆に共通することを示している。 In the example of FIG. 21, it can be seen that the machine E001, the part P011, and the failure sign D001 correspond to the FMEA item F001. The failure sign “-” indicates that it is common to all the failure signs.
（２－２）対策案提示処理
　次に、本実施の形態における対策案提示処理の詳細について説明する。ここで、Ｓ００１、Ｓ００２、Ｓ００３、Ｓ００４、Ｓ００５、Ｓ００６、Ｓ００７及びＳ００８の処理手順は第１の実施の形態と同様であるため詳細な説明は省略する。 (2-2) Countermeasure plan presentation processing Next, details of the countermeasure plan presentation processing in the present embodiment will be described. Here, the processing procedures of S001, S002, S003, S004, S005, S006, S007, and S008 are the same as those in the first embodiment, and thus detailed description thereof is omitted.
　図１３のステップＳ００９において、生産・運行管理装置Ａ００１の対策案作成部１１３が、メモリ１０２、または記憶装置１０３に格納された故障予兆と対策案の情報を、ユーザインターフェース１０４を介して、ユーザに提示する際に、関連するＦＭＥＡの項目を表示する。 In step S009 of FIG. 13, the countermeasure plan creation unit 113 of the production / operation management apparatus A001 sends the failure sign and the countermeasure plan information stored in the memory 102 or the storage device 103 to the user via the user interface 104. When presenting, display related FMEA items.
　図２２を参照して、本実施の形態における対策案提示処理について説明する。 Referring to FIG. 22, the countermeasure plan presentation process in the present embodiment will be described.
　図２２に示すように、まず、生産・運行管理装置Ａ００１の対策案作成部１１３は、通信インターフェース１０５を介して、品質保証装置Ａ００４へ、メモリ１０２、または記憶装置１０３に格納された機械「Ｅ００１」、部品「Ｐ０１１」、故障予兆「Ｄ００１」を送信し、ＦＭＥＡ項目を要求する（Ｓ１９１）。そして、品質保証装置Ａ００４の予兆対応管理部４１２が、通信インターフェース４０５を介して、機械「Ｅ００１」、部品「Ｐ０１１」、故障予兆「Ｄ００１」を受信し、メモリ４０２、または記憶装置４０３に格納する。 As shown in FIG. 22, first, the measure creation unit 113 of the production / operation management apparatus A001 sends the machine “E001” stored in the memory 102 or the storage device 103 to the quality assurance apparatus A004 via the communication interface 105. ”, The part“ P011 ”, and the failure sign“ D001 ”are transmitted, and the FMEA item is requested (S191). The sign correspondence management unit 412 of the quality assurance device A004 receives the machine “E001”, the part “P011”, and the failure sign “D001” via the communication interface 405, and stores them in the memory 402 or the storage device 403. .
　そして、品質保証装置Ａ００４の予兆対応管理部４１２は、メモリ４０２、または記憶装置４０３に格納された機械「Ｅ００１」、部品「Ｐ０１１」、故障予兆「Ｄ００１」をもとに、予兆対応管理テーブルＴ４４０より、ＦＭＥＡ項目「Ｆ００１」（図２１のレコード４４５）とＦＭＥＡ項目「Ｆ００２」（図２１のレコード４４６）を検索して取得する（Ｓ１９２）。 The predictive response management unit 412 of the quality assurance device A004 uses the predictive response management table T440 based on the machine “E001”, the part “P011”, and the failure predictor “D001” stored in the memory 402 or the storage device 403. Thus, the FMEA item “F001” (record 445 in FIG. 21) and the FMEA item “F002” (record 446 in FIG. 21) are retrieved and acquired (S192).
　次に、品質保証装置Ａ００４の予兆対応管理部４１２は、ステップＳ１９２で取得したＦＭＥＡ項目「Ｆ００１」とＦＭＥＡ項目「Ｆ００２」をもとに、ＦＭＥＡ管理部を介して、ＦＭＥＡ管理テーブルＴ４３０より、関連する故障モードの情報（図２０のレコード４３６とレコード４３７）を取得し、通信インターフェース４０５を介して、生産・運行管理装置Ａ００１へ送信する（Ｓ１９３）。そして、生産・運行管理装置Ａ００１の対策案作成部１１３は、通信インターフェース１０５を介して、ＦＭＥＡ項目「Ｆ００１」とＦＭＥＡ項目「Ｆ００２」の故障モードに関する情報を受信し、メモリ１０２、または記憶装置１０３に格納する。 Next, the predictive response management unit 412 of the quality assurance device A004 associates the related information from the FMEA management table T430 via the FMEA management unit based on the FMEA item “F001” and the FMEA item “F002” acquired in step S192. Information on the failure mode to be performed (record 436 and record 437 in FIG. 20) is acquired and transmitted to the production / operation management apparatus A001 via the communication interface 405 (S193). Then, the countermeasure plan creation unit 113 of the production / operation management apparatus A001 receives information regarding the failure mode of the FMEA item “F001” and the FMEA item “F002” via the communication interface 105, and the memory 102 or the storage device 103. To store.
　次に、生産・運行管理装置Ａ００１の対策案作成部１１３は、メモリ１０２、または記憶装置１０３に格納されたＦＭＥＡ項目「Ｆ００１」とＦＭＥＡ項目「Ｆ００２」の故障モードに関する情報を故障予兆と対策案の情報とともに画面に表示する（Ｓ１９４）。 Next, the countermeasure plan creation unit 113 of the production / operation management apparatus A001 provides information on the failure mode of the FMEA item “F001” and the FMEA item “F002” stored in the memory 102 or the storage device 103 as a failure sign and a countermeasure plan. Is displayed on the screen together with the information (S194).
　図２３は、対策案の提示例を示す図である。図２３のＣ００１、Ｃ００２、Ｃ００３、Ｃ００４、Ｃ００５、Ｃ００６、Ｃ００７、Ｃ００８、Ｃ００９、Ｃ０１０及びＣ０１１の表示項目は、第１の実施の形態と同様であるため詳細な説明は省略する。 FIG. 23 is a diagram showing an example of a proposed measure. Since the display items of C001, C002, C003, C004, C005, C006, C007, C008, C009, C010, and C011 in FIG. 23 are the same as those in the first embodiment, detailed description thereof is omitted.
　故障予兆と対策案の情報とともに、メモリ１０２、または、記憶装置１０３に格納されたＦＭＥＡ項目「Ｆ００１」及びＦＭＥＡ項目「Ｆ００２」の故障モードに関する情報を表示する（図２３の表示項目Ｃ１０１）。 Information on failure modes of FMEA item “F001” and FMEA item “F002” stored in the memory 102 or the storage device 103 is displayed together with information on failure signs and countermeasures (display item C101 in FIG. 23).
（２－３）本実施の形態の効果
　上記実施の形態によれば、ＦＭＥＡの情報とともに対策案を選択できるため、ユーザの意思決定を更に円滑にすることができる。 (2-3) Effects of this Embodiment According to the above-described embodiment, a countermeasure plan can be selected together with FMEA information, so that the user's decision making can be further facilitated.
（３）第３の実施の形態
（３－１）運行最適化支援システムの構成
　本実施の形態では、第１の実施の形態において、生産・運行管理装置Ａ００１が、対策案を提示する際に、ユーザがあらかじめ設定した戦略に応じて提示することになる。 (3) Third Embodiment (3-1) Configuration of Operation Optimization Support System In this embodiment, when the production / operation management apparatus A001 presents a countermeasure plan in the first embodiment, This is presented according to a strategy set in advance by the user.
　図２４を参照して、運行最適化支援システムを構成する各装置の構成について説明する。ここで、Ａ００２、Ａ００３の構成は、第１の実施の形態と同様であるため詳細な説明は省略する。 Referring to FIG. 24, the configuration of each device constituting the operation optimization support system will be described. Here, since the configurations of A002 and A003 are the same as those in the first embodiment, detailed description thereof is omitted.
　図２４は、生産・運行管理装置Ａ００１の概略構成を例示する図である。ここで、ＣＰＵ１０１と、メモリ１０２と、記憶装置１０３と、ユーザインターフェース１０４と、通信インターフェース１０５と、生産・運行条件管理部１１１と、対策候補管理部１１２と、対策実行部１１４は、実施例１と同様であるため詳細な説明は省略する。 FIG. 24 is a diagram illustrating a schematic configuration of the production / operation management apparatus A001. Here, the CPU 101, the memory 102, the storage device 103, the user interface 104, the communication interface 105, the production / operation condition management unit 111, the countermeasure candidate management unit 112, and the countermeasure execution unit 114 are described in the first embodiment. Detailed description will be omitted.
　戦略管理部１１５は、メモリ１０２、または記憶装置１０３に格納されている戦略を、戦略管理テーブルＴ１５０に登録し、更新などの処理を行う装置である。戦略管理テーブルＴ１５０の詳細に関しては後述する。 The strategy management unit 115 is a device that registers a strategy stored in the memory 102 or the storage device 103 in the strategy management table T150 and performs processing such as updating. Details of the strategy management table T150 will be described later.
　対策案作成部１１３は、実施例１と同様に対策案を作成するとともに、作成した対策案の中から、戦略管理テーブルＴ１５０に格納されるロジックに従って最適な対策案を選択し、メモリ１０２、または記憶装置１０３に格納する装置である。 The countermeasure plan creation unit 113 creates a countermeasure plan in the same manner as in the first embodiment, selects an optimum countermeasure plan from the prepared countermeasure plans according to the logic stored in the strategy management table T150, and stores the memory 102 or This is a device stored in the storage device 103.
　続いて、運行最適化支援システムが利用するテーブルについてそのデータ構成などを説明する。ここで、Ｔ１３０、Ｔ１４０、Ｔ２３０、Ｔ２４０、Ｔ３３０、Ｔ３４０、Ｔ３５０及びＴ３６０の構成は第１の実施の形態と同様であるため詳細な説明は省略する。 Next, the data structure of the table used by the operation optimization support system will be described. Here, since the configurations of T130, T140, T230, T240, T330, T340, T350, and T360 are the same as those in the first embodiment, detailed description thereof is omitted.
　図２５は、戦略管理テーブルＴ１５０の構成例を示す図である。戦略管理テーブルＴ１５０は、上記図２４の説明でも述べたように、戦略管理部１１５が管理する戦略のリストである。 FIG. 25 is a diagram showing a configuration example of the strategy management table T150. The strategy management table T150 is a list of strategies managed by the strategy management unit 115 as described with reference to FIG.
　図２５に示すように、戦略管理テーブルＴ１５０は、戦略の識別子を格納する戦略カラム１５１、戦略を実現するためのロジックを格納するロジックカラム１５２、ユーザの選択状態を格納する選択カラム１５３などで構成される。 As shown in FIG. 25, the strategy management table T150 includes a strategy column 151 that stores a strategy identifier, a logic column 152 that stores logic for realizing the strategy, a selection column 153 that stores a selection state of the user, and the like. Is done.
（３－２）対策案提示処理
　次に、本実施の形態対策案提示処理の詳細について説明する。ここで、図１３のＳ００１、Ｓ００２、Ｓ００３、Ｓ００４、Ｓ００５、Ｓ００６、Ｓ００７及びＳ００８の処理手順は第１の実施の形態と同様であるため詳細な説明は省略する。 (3-2) Countermeasure Proposal Presentation Processing Next, details of the countermeasure proposal presentation processing of the present embodiment will be described. Here, the processing procedures of S001, S002, S003, S004, S005, S006, S007, and S008 in FIG. 13 are the same as those in the first embodiment, and thus detailed description thereof is omitted.
　図１３のステップＳ００９において、生産・運行管理装置Ａ００１の対策案作成部１１３は、メモリ１０２、または記憶装置１０３に格納された故障予兆と対策案の情報を、ユーザインターフェース１０４を介して、ユーザに提示する際に、戦略管理テーブルＴ１５０の情報をもとに提示する。 In step S009 of FIG. 13, the countermeasure plan creation unit 113 of the production / operation management apparatus A001 provides the user with the failure sign and the countermeasure plan information stored in the memory 102 or the storage device 103 via the user interface 104. When presenting, it presents based on the information of the strategy management table T150.
　本実施の形態では、生産・運行管理装置Ａ００１の対策案作成部１１３が、戦略管理部を介して、戦略管理テーブルＴ１５０より、選択カラムが「○」となっている戦略「リスクを抑えつつコスト重視」とそのロジック「リスク閾値以下で追加費用が最小」（図２５のレコード１５４）を取得する。 In the present embodiment, the measure plan creation unit 113 of the production / operation management apparatus A001 uses the strategy management unit to select the strategy “cost while suppressing risk” from the strategy management table T150 where the selected column is “◯”. “Importance” and its logic “minimum additional cost below risk threshold” (record 154 in FIG. 25).
　生産・運行管理装置Ａ００１の対策案作成部１１３が、メモリ１０２、または記憶装置１０３に格納された対策案の中から、ロジック「リスク閾値以下で追加費用が最小」に合致する対策案を選択する。ここで、保守管理装置Ａ００３の稼動リスク定数管理部３１１を介して、稼動リスク閾値管理テーブルＴ３５０より、機械「Ｅ００１」、部品「Ｐ０１１」のリスク閾値「２０００」（図１１のレコード３５４）を取得できるため、稼動リスクが「２０００」以下で追加費用が最小のものは対策案「条件変更」となる。 The countermeasure plan creation unit 113 of the production / operation management apparatus A001 selects a countermeasure plan that matches the logic “minimum additional cost below the risk threshold” from the countermeasure plans stored in the memory 102 or the storage device 103. . Here, the risk threshold “2000” (record 354 in FIG. 11) of the machine “E001” and the part “P011” is acquired from the operation risk threshold management table T350 via the operation risk constant management unit 311 of the maintenance management apparatus A003. Therefore, if the operation risk is “2000” or less and the additional cost is minimum, the countermeasure proposal “condition change” is used.
　図２６は対策案の提示例を示す図である。Ｃ００１、Ｃ００２、Ｃ００３、Ｃ００４、Ｃ００５、Ｃ００６、Ｃ００７、Ｃ００８、Ｃ００９、Ｃ０１０及びＣ０１１の表示項目は第１の実施の形態と同様であるため詳細な説明は省略する。 FIG. 26 is a diagram showing an example of a proposed measure. Since the display items of C001, C002, C003, C004, C005, C006, C007, C008, C009, C010, and C011 are the same as those in the first embodiment, detailed description thereof is omitted.
　図２６に示すように、戦略管理テーブルＴ１５０の情報をもとに選択した対策案「条件変更」を一番上に表示する（図２６の表示項目Ｃ２０１）。また、現在選択されている戦略も表示する（図２６の表示項目Ｃ２０２）。 As shown in FIG. 26, the measure proposal “condition change” selected based on the information in the strategy management table T150 is displayed at the top (display item C201 in FIG. 26). The currently selected strategy is also displayed (display item C202 in FIG. 26).
（３－３）本実施の形態の効果
　上記実施の形態によれば、ユーザの選択した戦略に応じて対策案を自動選択できるため、ユーザの意思決定を円滑にかつ正確にすることができる。 (3-3) Effects of this Embodiment According to the above-described embodiment, a countermeasure plan can be automatically selected according to the strategy selected by the user, so that the user's decision making can be made smoothly and accurately.
　Ａ００１　生産・運行管理装置
　１１１　　生産・運行条件管理部
　１１２　　対策候補管理部
　１１３　　対策案作成部
　１１４　　対策実行部
　１１５　　戦略管理部
　Ａ００２　生産・運行計画装置
　２１１　　生産・運行能力管理部
　２１２　　生産・運行計画管理部
　２１３　　生産・運行計画作成部
　Ａ００３　保守管理装置
　３１１　　稼動リスク定数管理部
　３１２　　稼動リスク管理部
　３１３　　稼動リスク計算部
　３１４　　故障予兆検知部
　Ａ００４　品質保証装置
　４１１　　ＦＭＥＡ管理部
　４１２　　予兆対応管理部
　Ｅ００１、Ｅ００２、Ｅ００３　機械
  A001 Production / operation management device 111 Production / operation condition management unit 112 Countermeasure candidate management unit 113 Countermeasure plan creation unit 114 Countermeasure execution unit 115 Strategic management unit A002 Production / operation planning device 211 Production / operation capacity management unit 212 Production / operation plan management Unit 213 Production / operation plan creation unit A003 Maintenance management device 311 Operation risk constant management unit 312 Operation risk management unit 313 Operation risk calculation unit 314 Failure sign detection unit A004 Quality assurance device 411 FMEA management unit 412 Predictive response management unit E001, E002, E003 machine

Claims (8)

  1. 　機械と、
    　前記機械の生産・運行を管理する生産・運行管理装置と、
    　前記機械の生産・運行を計画する生産・運行計画装置と、
    　前記機械の稼動状態や稼動リスクを管理する保守管理装置と、
    　を有し、
    　前記保守管理装置が、前記機械の故障予兆を検知し、
    　前記生産・運行管理装置が、前記生産・運行計画装置の管理する生産・運行計画、及び、前記保守管理装置の管理する稼動リスクを用いて、前記保守管理装置により検知された故障予兆に対する対策案を作成する
    　ことを特徴とする、運行最適化支援システム。     Machine,
    A production / operation management device for managing the production / operation of the machine;
    A production / operation planning device for planning production / operation of the machine;
    A maintenance management device for managing the operating state and operating risk of the machine;
    Have
    The maintenance management device detects a failure sign of the machine,
    The production / operation management apparatus uses the production / operation plan managed by the production / operation planning apparatus and the operation risk managed by the maintenance management apparatus, and a countermeasure plan for a failure sign detected by the maintenance management apparatus An operation optimization support system characterized by creating
  2. 　前記保守管理装置は、
    　前記機械の稼働情報をもとに前記機械の故障予兆を検知し、
    　前記機械の経時劣化リスクの増加量を算出し、
    　前記機械の故障予兆が検知された場合に、前記故障予兆リスクの増加量を算出し、
    　前記機械の現在の稼働リスクに、前記機械の経時劣化リスクの増加量及び前記故障予兆リスクの増加量を加算して稼働リスクを更新する
    　ことを特徴とする、請求項１に記載の運行最適化支援システム。     The maintenance management device
    Detecting a failure sign of the machine based on the machine operation information,
    Calculate the amount of increase in aging risk of the machine,
    When a failure sign of the machine is detected, an increase amount of the failure sign risk is calculated,
    2. The operation optimization according to claim 1, wherein the operation risk is updated by adding an increase amount of the deterioration risk of the machine and an increase amount of the predictive failure risk to the current operation risk of the machine. Support system.
  3. 　前記生産・運行計画装置は、
    　前記機械の故障予兆に対する複数の対策候補について、前記機械の生産・運行条件及び能力と、前記生産・運行計画に含まれる対象製品の生産量とから生産時間を算出して、算出した生産時間が前記機械の残り生産時間より小さい場合に、該対策候補を対策案として検索する
    　ことを特徴とする、請求項２に記載の運行最適化支援システム。     The production / operation planning device
    With respect to a plurality of candidate countermeasures against the failure sign of the machine, the production time is calculated from the production / operation conditions and capacity of the machine and the production amount of the target product included in the production / operation plan. The operation optimization support system according to claim 2, wherein, when the remaining production time of the machine is smaller than the remaining production time, the countermeasure candidate is searched as a countermeasure plan.
  4. 　前記保守管理装置は、
    　前記選択された対策案に対応する前記機械の経時劣化リスクの増加量を、前記機械の現在の増加量に加算して、前記対策案のリスクを算出する
    　ことを特徴とする、請求項３に記載の運行最適化支援システム。     The maintenance management device
    4. The risk of the countermeasure plan is calculated by adding an increase amount of the aging risk of the machine corresponding to the selected countermeasure plan to a current increase amount of the machine. The operation optimization support system described.
  5. 　前記生産・運行管理装置により作成された対策案を、前記保守管理装置が検知した故障予兆と、前記生産・運行計画装置が前記対策案をもとに作成した生産・運行計画と、前記保守管理装置が前記対策案と前記生産・運行計画をもとに作成した稼動リスクとともに表示画面に表示させる
    　ことを特徴とする、請求項１に記載の運行最適化支援システム。     The countermeasure plan created by the production / operation management device is a failure sign detected by the maintenance management device, the production / operation plan created by the production / operation planning device based on the countermeasure plan, and the maintenance management. The operation optimization support system according to claim 1, wherein the device displays the operation risk created on the basis of the countermeasure plan and the production / operation plan on a display screen.
  6. 　機械の故障モードとその影響を解析するＦＭＥＡの情報を管理するＦＭＥＡ管理装置を有し、
    　前記ＦＭＥＡ管理装置が、前記保守管理装置が検知した故障予兆に対応するＦＭＥＡの項目を選択し、
    　前記生産・運行管理装置が、作成した対策案を、前記保守管理装置が検知した故障予兆と、前記生産・運行計画装置が前記対策案をもとに作成した生産・運行計画と、前記保守管理装置が前記対策案と前記生産・運行計画をもとに作成した稼動リスクと、前記ＦＭＥＡ管理装置が選択したＦＭＥＡ項目とともに表示画面に表示させる
    　ことを特徴とする、請求項５に記載の運行最適化支援システム。     It has FMEA management device that manages FMEA information to analyze the failure mode of machine and its influence,
    The FMEA management device selects an FMEA item corresponding to the failure sign detected by the maintenance management device;
    The countermeasure plan created by the production / operation management device, a failure sign detected by the maintenance management device, the production / operation plan created by the production / operation planning device based on the countermeasure plan, and the maintenance management The operation optimum according to claim 5, wherein the device displays the operation risk created on the basis of the countermeasure plan and the production / operation plan and the FMEA item selected by the FMEA management device on a display screen. Support system.
  7. 　前記生産・運行管理装置が、ユーザによって選択された戦略に従って対策案を選択し、
    　前記生産・運行管理装置が、作成した対策案を、前記保守管理装置が検知した故障予兆と、前記生産・運行計画装置が前記対策案をもとに作成した生産・運行計画と、前記保守管理装置が前記対策案と前記生産・運行計画をもとに作成した稼動リスクと、ユーザによって選択された前記戦略と、前記生産・運行管理装置が選択した対策案とともに表示画面に表示させる
    　ことを特徴とする、請求項５に記載の運行最適化支援システム。     The production / operation management device selects a countermeasure plan according to the strategy selected by the user,
    The countermeasure plan created by the production / operation management device, a failure sign detected by the maintenance management device, the production / operation plan created by the production / operation planning device based on the countermeasure plan, and the maintenance management The device displays the operation risk created on the basis of the countermeasure plan and the production / operation plan, the strategy selected by the user, and the countermeasure plan selected by the production / operation management device on the display screen. The operation optimization support system according to claim 5.
  8. 　機械と、前記機械の生産・運行を管理する生産・運行管理装置と、前記機械の生産・運行を計画する生産・運行計画装置と、前記機械の稼動状態や稼動リスクを管理する保守管理装置と、を有する運行最適化支援システムにおける運行最適化支援方法であって、
    　前記保守管理装置が、前記機械の故障予兆を検知するステップと、
    　前記生産・運行管理装置が、前記生産・運行計画装置の管理する生産・運行計画、及び、前記保守管理装置の管理する稼動リスクを用いて、前記保守管理装置により検知された故障予兆に対する対策案を作成するステップと、
    　を含むことを特徴とする、運行最適化支援方法。
          A machine, a production / operation management device that manages production / operation of the machine, a production / operation planning device that plans production / operation of the machine, and a maintenance management device that manages the operating state and operational risk of the machine , An operation optimization support method in an operation optimization support system comprising:
    The maintenance management device detecting a failure sign of the machine;
    The production / operation management apparatus uses the production / operation plan managed by the production / operation planning apparatus and the operation risk managed by the maintenance management apparatus, and a countermeasure plan for a failure sign detected by the maintenance management apparatus The steps of creating
    The operation optimization support method characterized by including this.
PCT/JP2015/064830 2015-05-22 2015-05-22 Operation optimization assistance system and operation optimization assistance method WO2016189603A1 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
JP2017520080A JP6553720B2 (en) 2015-05-22 2015-05-22 Operation optimization support system and operation optimization support method
PCT/JP2015/064830 WO2016189603A1 (en) 2015-05-22 2015-05-22 Operation optimization assistance system and operation optimization assistance method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2015/064830 WO2016189603A1 (en) 2015-05-22 2015-05-22 Operation optimization assistance system and operation optimization assistance method

Publications (1)

Publication Number Publication Date
WO2016189603A1 true WO2016189603A1 (en) 2016-12-01

Family

ID=57393011

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2015/064830 WO2016189603A1 (en) 2015-05-22 2015-05-22 Operation optimization assistance system and operation optimization assistance method

Country Status (2)

Country Link
JP (1) JP6553720B2 (en)
WO (1) WO2016189603A1 (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2020052931A (en) * 2018-09-28 2020-04-02 セイコーエプソン株式会社 Production system and production method
JP7245940B1 (en) 2022-03-14 2023-03-24 株式会社 日立産業制御ソリューションズ Risk assessment device and risk assessment method

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004165216A (en) * 2002-11-08 2004-06-10 Matsushita Electric Ind Co Ltd Production control method and production control apparatus
JP2010091840A (en) * 2008-10-09 2010-04-22 Ricoh Co Ltd Predictive failure reporting system, predictive failure reporting method, and method for maintaining image forming apparatus
JP2011089751A (en) * 2009-10-26 2011-05-06 Sanyo Electric Co Ltd Failure diagnosing system of air conditioner

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004165216A (en) * 2002-11-08 2004-06-10 Matsushita Electric Ind Co Ltd Production control method and production control apparatus
JP2010091840A (en) * 2008-10-09 2010-04-22 Ricoh Co Ltd Predictive failure reporting system, predictive failure reporting method, and method for maintaining image forming apparatus
JP2011089751A (en) * 2009-10-26 2011-05-06 Sanyo Electric Co Ltd Failure diagnosing system of air conditioner

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2020052931A (en) * 2018-09-28 2020-04-02 セイコーエプソン株式会社 Production system and production method
JP7107144B2 (en) 2018-09-28 2022-07-27 セイコーエプソン株式会社 Production system and method
US11774949B2 (en) 2018-09-28 2023-10-03 Seiko Epson Corporation Production system and production method
JP7245940B1 (en) 2022-03-14 2023-03-24 株式会社 日立産業制御ソリューションズ Risk assessment device and risk assessment method
JP2023133814A (en) * 2022-03-14 2023-09-27 株式会社 日立産業制御ソリューションズ Risk assessment apparatus and risk assessment method

Also Published As

Publication number Publication date
JP6553720B2 (en) 2019-07-31
JPWO2016189603A1 (en) 2018-02-08

Similar Documents

Publication Publication Date Title
USRE50192E1 (en) Predictive risk assessment in system modeling
US11030551B2 (en) Predictive deconstruction of dynamic complexity
CN110546606B (en) Tenant upgrade analysis system and method
AU2018260855B2 (en) Hybrid cloud migration delay risk prediction engine
US10416662B2 (en) Maintenance optimization for asset performance management
KR102069386B1 (en) Obsolescence forecasting tool
US20090112668A1 (en) Dynamic service emulation of corporate performance
US20190068454A1 (en) Device model to thing model mapping
US10685319B2 (en) Big data sourcing simulator
US20200342419A1 (en) Intelligent management of one or more machines of a vehicle service center
US10007682B2 (en) Dynamically maintaining data structures driven by heterogeneous clients in a distributed data collection system
JP2016194736A (en) Project execution planning support method, project execution planning support program, and project execution planning support system
US20140173408A1 (en) Identity based automated form filling
WO2014054230A1 (en) Information system construction device, information system construction method, and storage medium
WO2014061229A1 (en) Information system building assistance device, information system building assistance method, and information system building assistance program
CN106127365A (en) Quantitative remote sensing On-line Product interactive mode autonomous production method
JP2022002099A (en) Data labeling method, device, electronic device, storage medium, and computer program
WO2016189603A1 (en) Operation optimization assistance system and operation optimization assistance method
CN110400085B (en) Information processing method, information processing apparatus, and information processing system
US8510142B2 (en) Conflicting expert systems
KR20190066768A (en) Parameter processing for porcess in smart manufacturing environment
KR20190066758A (en) Porcess assessment model for smart manufacturing
KR101899298B1 (en) Processing system for automation of cloud and process operating based virtual environment and processing method thereof
US20180046974A1 (en) Determining a non-optimized inventory system
Pipe Practical prognostics for condition based maintenance

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 15893239

Country of ref document: EP

Kind code of ref document: A1

ENP Entry into the national phase

Ref document number: 2017520080

Country of ref document: JP

Kind code of ref document: A

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 15893239

Country of ref document: EP

Kind code of ref document: A1