EP1228466A1 - Computerised method or method capable of being computerised for planning logistic operations - Google Patents
Computerised method or method capable of being computerised for planning logistic operationsInfo
- Publication number
- EP1228466A1 EP1228466A1 EP00974573A EP00974573A EP1228466A1 EP 1228466 A1 EP1228466 A1 EP 1228466A1 EP 00974573 A EP00974573 A EP 00974573A EP 00974573 A EP00974573 A EP 00974573A EP 1228466 A1 EP1228466 A1 EP 1228466A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- operations
- planning
- operating range
- time
- computerizable
- Prior art date
- Legal status (The legal status 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 status listed.)
- Withdrawn
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06316—Sequencing of tasks or work
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
Definitions
- the present invention relates to the field of logistics and more specifically to equipment and method for the preparation, execution of information flow management, monitoring and information of logistics operations.
- German patent DE19721772 describes, for example, a logistics control and verification system, or the European patent EP425405 an automatic method for promising and confirming a customer order.
- the patent US Pat. No. 5,596,502 is also known describing a computerized, adaptive and demand-driven planning and decision support system.
- This system called “Cube System” - uses a "CUBEBOOKING" program operating in real time to load tasks (a predefined processing sequence) in cells called “Cubecells” in a time workspace defined in the "Cubeworld” selected in response to a request made therein by a customer order.
- the program allocates the best resources available to produce products (Product Resources) made up of material (Material Resources on a Positive Material List) with certain characteristics (contained in a Negative Material List).
- Product Resources made up of material
- Negative Material List certain characteristics (contained in a Negative Material List).
- This "Cube System” is designed to monitor other possible processing paths by accounting systems and keeps the historical models of production and use of resources in the form of primary data to resolve conflicts between the resources of limited capacity (Resource Conflicts).
- the system recommends, using the (life) view, the other possible allocation of resources to other workspaces in order to eliminate resource conflicts in the various "Cube Cells". This solution is valid for internal use. It does not optimize the needs of a plurality of applicants.
- the object of the invention is to propose a method and an equipment for optimizing the processes forming the operating ranges and the preparation of ranges whose execution is triggered by the end user and not by the transmitter.
- the invention makes it possible to improve the inventory and the chaining of the different phases which must intervene in the supply of a product, either for supplying a production or assembly line, or for bringing consumption with an end customer. It also makes it possible to provide access to a common information system for several users and to pool needs for better use of resources.
- the invention relates in its most general sense to a computer or computerized process for planning logistics operations, characterized in that it comprises:
- a step of constituting a "requesters" database comprising a plurality of information sheets describing the profile of each requester, this information comprising in particular an identifier and a list of usual recipients of the requester considered, said database "requesters” being stored in a memory of a host center, - a step of establishment by the server center computer of a "definition of operations" sheet in response to a request from a requestor registered in the "requesters” database, - a step of transmission by the server center , for each operation defined in the previous step, a sheet defining the parameters of the operation comprising a form for determining the nature and specifics of the operation, and defining at least one actor in the operation, a step of defining the operating range by the host center, this step consisting in calculating from the information transmitted during the previous steps a sheet defining the nature and the chronology of operations, and an activation step of the operative range by a triggering event and a compliance test operation of the triggering event with the operative range.
- the method according to the invention comprises a step of massification of a plurality of operating ranges by grouping operations whose temporal and geographical information are identical or similar.
- the requester is the manager of the process that collects the information.
- the method further comprises a step of preparing a library of solutions recorded by the server center, the data recorded in this library being used during the steps of establishing the definitions of the operations.
- FIG. 1 represents a schematic view of the information system
- FIG. 2 represents the schematic representation of the method according to the invention
- FIG. 3 represents a schematic view of the data and information flows between the various components of the planning system in accordance with the invention
- FIG. 4 represents the massification diagram
- FIG. 5 represents a mutuaiisation algorithm
- FIG. 6 represents a distribution diagram
- FIG. 7 represents the principle diagram for two ranges with transports respectively from Dl to Cl and from D2 to C2
- FIG. 8 represents an algorithm of grouping two ranges
- - Figure 9 represents a "round trip" grouping algorithm
- Figure 10 represents a grouping algorithm "on the same path”.
- the term “end customer” will designate the initiator of the need for an article or a commodity, for example an assembly line or an end user.
- the term “applicant” will designate the manufacturer or the service provider (the prime contractor for the logistics process).
- the invention enables it to process its logistics in a dynamic manner.
- the term operative range designates all the information necessary for the coordination and implementation of the actors and the means required for a logistics operation, for time management and dynamic allocation of resources as well as for monitoring stages of the logistics operation.
- the expression of the need is made by the end customer which leads to the orientation of the flows in the "supplier to customer" direction.
- the different operations are ordered by reverse chronological dates in order to always take into account the date of its execution.
- the invention as described in what follows aims to respect the constraints of each participant. These stakeholders can be numerous: suppliers, service providers for packaging, customs formalities, shipping, transport, reception, and of course the end customer, who issues the requirements;
- Logistics consists of managing the information flows controlling the physical phases of the material flow according to the management parameters of each of the participants, and building an operating range after having listed the various phases of an operation and having carried out 1 ' scheduling of these phases.
- Figure 1 shows a schematic view of the information system.
- the logistics follow-up steps include
- the computer architecture of the invention consists of a plurality of terminals connected via a specific network or via the Internet to a server center operated by the process manager.
- the applicant wishing to take charge of all of the tasks (on his behalf if he is an industrialist, on behalf of others if he is an assignor-service provider) upstream or downstream of production will connect at the host center to prepare transaction definition sheets. These files are made up of forms whose models are saved in a database in the server center and which are personalized according to the profile of the applicant.
- the data transmitted to the server center from these forms constitute a two-dimensional data set, establishing the relationships between a plurality of requesters and a plurality of operators.
- This data set allows processing for massification (same demand environment) pooling (several environments) of resources by reconciling neighboring tasks in temporal and geographic terms.
- each operator is identified by a profile determining its resources, and the server center manages a resource use file making it possible to optimize the allocation of these resources.
- the architecture of the invention brings together the constraints established by: the end user, which causes the activation of the operating range and fixes the parameters as well as the time and quantity variables. He is a transmitter of need; the requirement generator, which is located at different levels of the logistics chain, and sets parameters and variables specific to its environment and in relation to those dictated by the end user; the applicant, who is the master 'of work demand and fixed to the administrative settings management system operators or effectors, formed by the companies performing one or more operations of the operating range.
- the parameters taken into account by the system to define the operating range are set by the end user, the issuers of requirements and the requester. They characterize for each operation the needs in terms of the state of the product (regulations and standards, type of packaging), means (type of vehicle), documentary (access, type of monitoring, documents).
- the central server includes calculation means for checking the consistency of these parameters.
- the variables define the state of the parameters (type of regulation, type of packaging, opening hours, volume to be transported, safety plan, etc.). They are taken into account by the system when activating the previously defined range.
- the parameters are associated with the operating range during the definition phase. Fixed parameters that give it its uniqueness will correspond to a given operating range.
- the operating range is developed based on the request and the parameters provided by the different players. Following the triggering event, the variables linked to instant physical needs are taken into account by the system during the activation stage.
- Each operation in the active range then gives rise to an execution order and information to the operators concerned by the action on the physical flow, during the action step.
- Each component of an operation stipulated in the established procedure, is recorded by the operator when it is carried out.
- the operation is validated. The validation creates information available to the actors of the system.
- a request must make it possible to supply the databases of the host center with information on the players in the specific logistics environment establishing information relating to the services.
- a request may relate to one or more services.
- a service brings together a set of operations to be carried out by the server center in order to meet the expectations of end users
- An operation is characterized by the chaining of the components according to a given procedure adapted to the achievement of a final need, for example the operations of reception, customs, packaging, transport and documentation.
- Establishment of the triggering event consisting of a parameter fixed during the establishment of the operating range from the service request.
- a trigger event activates the corresponding operating range. Triggering of alerts, in the event of action or information not in conformity with the forecasts in term of time, cost or means. These alerts are broadcast to operators. Access to information conveyed by the information system and memorized by the server center. Documentation of current operations. After the collection of operations and parameters, the components of the operating range are developed using a procedure library providing the assistance necessary to make the most suitable process correspond to each parameter. The components developed are articulated and chained in a process to be implemented in activation. The library includes a time base allowing to define the execution times allocated to each component. The computing means of the host center establish the critical path of the components in carrying out the operations or of the components in masked time in order to shorten the execution time.
- the variables assigned to each component are recorded and the server center fixes a theoretical execution time for each component from a reference library.
- the total execution time for an operation is the sum of the execution times for these components.
- FIG. 3 represents a schematic view of the data and information flows between the various components of the planning system according to the invention.
- the method according to the invention achieves massification and pooling of resources.
- Massification is understood to mean the grouping in the same place and at the same time of operations of the same nature, requested by different users.
- pooling we mean the grouping of operations of the same nature on the same route (consecutive time-place) requested by different users.
- the method proceeds to a periodic recalculation of the operating ranges as a function of parameters of availability of resources and of weighting factors of resources, for example as a function of the cost of using resources, and of the quality of resources.
- the system optionally evaluates different options for allocating resources, to calculate a performance indicator, and select the optimal option, and reschedule all operations according to this optimal option.
- the use of the Internet or more generally the open networking of the GLAO process adds to this process the functions of massification and pooling of resources between several companies. The development of these functions is a direct result of the pooling of GLAO between several companies and the direct connection of resources with needs.
- the massification scenarios constructed are constantly evaluated in terms of resource allocation criteria. Pooling is a refinement of massification. This method makes it possible to optimize the transport between geographical points which are not identical unlike massification.
- Pooling is a special case of consolidation in which the operations do not have exactly identical temporal and geographical characteristics (date and place of start and / or end). It is geographic proximity that allows resources to be pooled (i.e. organizing a truck tour in an industrial area).
- Pooling area The system contains a map of members. In this mapping, we defines "mutualization zones".
- a pooling area is a set of actors for which pooling of resources would be possible (ie within an industrial area or on the same street.).
- the criteria for belonging to the same pooling area are multiple and configurable: Geographical proximity, belonging to the same agglomeration, to the same city, urban area - Time tolerance zone: Each time zone is associated with a time delta. This delta corresponds to the maximum acceptable time difference to pool two operations that do not have the same start and end dates. This area is defined by activity sector and is fully configurable. In parallel with the consolidation, the system builds, with the ranges to be executed, mutualisation scenarios.
- the allocation of resources makes it possible to filter the scenarios with regard to the resources available.
- the system filters the following criteria: Membership of the same pooling area, similar operation, partial recovery of dates included in the delta, availability and cost of the resource.
- We enter a reservation of resources The available scenarios corresponding to the range are frozen. We then choose a scenario among all those possible. The resource then assigned to this scenario is made unavailable.
- the travel time from Al to A2 accumulated at the loading time of the second range is less than the time tolerance delta.
- the travel time from Bl to B2 cumulated with the loading time of the first range is less than the time tolerance delta
- the loading time of the second range is found by searching, in the previous operation to that of transport, the duration of the loading task.
- the first range's unloading time is found by looking for the duration of the unloading task in the next operation.
- the algorithm thus obtained can be triggered again to check if it is not possible to pool another range by deducting the times already consumed by the association of the first range to the second (journey time, loading time, unloading time ).
- the system will only select the ranges whose actors are in the same arrival and departure zone, provided however that the time spent making the detours of the other actors does not exceed the tolerances of each of the ranges combined. At the transit time between actors in the same area, the system will take into account a loading time package and unloading time package.
- the departure time for transport from 'Distributor' plus the transport time between 'Distributor l' and 'Distributor 2' and the loading fee must correspond to the tolerance zone for transport of D2 towards C2.
- the departure time of the truck from Dl increased by the transit time between Dl and D2 increased by the loading duration package corresponds to the time tolerance zone of the transport operation from D2 to C2
- the departure time of D2 increased by the transport time between D2 and Cl must correspond to the transport tolerance zone of range 1
- the time of arrival at Cl increased by the unloading time package and increased by the transport time between Cl and C2 must correspond to the time tolerance zone of the operation of the second range.
- the loading duration package and the unloading duration package are configurable values by sector and by weight / volume of product handled.
- the example shown in FIG. 6 takes up two ranges with transport from Dl to Cl and from D2 to C2 respectively.
- the mutualization algorithm represented in FIG. 7 will seek whether it is possible, for the same type of transport resource, to group two ranges, the second of which shares the mutualization zone of the first.
- the system checks whether it cannot use the same transport resource to return from a journey in which the departure and arrival zones are reversed (Figure 8).
- the constraint to achieve this type of allocation is that the date of availability of the first range added to the transport time between the arrival actors of the first range and start of the second correspond to the tolerance zone of the second range.
- the mutualisation system on the path (figure 9) searches if in the path of a range, it cannot add the path of another range.
- the detour time to load the second range increased by the loading duration package is within the tolerance period of the second range
- the travel time of the second range increased by the package unloading time increased by the detour journey time from the second range to return to the final actor of the first range is within the tolerance period of the shared transport operation in the first range.
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- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
Description
Claims
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
FR9913927 | 1999-11-05 | ||
FR9913927A FR2800891B1 (en) | 1999-11-05 | 1999-11-05 | COMPUTER OR COMPUTERIZABLE PROCESS FOR PLANNING LOGISTICS OPERATIONS |
PCT/FR2000/002990 WO2001033444A1 (en) | 1999-11-05 | 2000-10-26 | Computerised method or method capable of being computerised for planning logistic operations |
Publications (1)
Publication Number | Publication Date |
---|---|
EP1228466A1 true EP1228466A1 (en) | 2002-08-07 |
Family
ID=9551794
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP00974573A Withdrawn EP1228466A1 (en) | 1999-11-05 | 2000-10-26 | Computerised method or method capable of being computerised for planning logistic operations |
Country Status (7)
Country | Link |
---|---|
US (1) | US20020165746A1 (en) |
EP (1) | EP1228466A1 (en) |
JP (1) | JP2003523557A (en) |
AU (1) | AU1282401A (en) |
CA (1) | CA2390022A1 (en) |
FR (1) | FR2800891B1 (en) |
WO (1) | WO2001033444A1 (en) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
FR2836257A1 (en) * | 2002-02-20 | 2003-08-22 | Agreen Tech | Computerized system for ensuring traceability of products in a logistics chain, uses central server to integrate production documents into loading documents used in logistics and checks parameters during loading |
US6561085B1 (en) * | 2002-03-04 | 2003-05-13 | One Plus Corp. | System and method for variably adjusting the pick-up level of one or more waste compactor containers |
JP7456117B2 (en) * | 2019-10-28 | 2024-03-27 | Toppanホールディングス株式会社 | Workflow system and server equipment |
Family Cites Families (23)
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EP0425405A3 (en) * | 1989-10-23 | 1992-01-22 | International Business Machines Corporation | An automated customer order promising and confirming method |
US5177688A (en) * | 1989-12-01 | 1993-01-05 | Texas Instruments Incorporated | Assembly line balancer |
US5265006A (en) * | 1990-12-14 | 1993-11-23 | Andersen Consulting | Demand scheduled partial carrier load planning system for the transportation industry |
US5666493A (en) * | 1993-08-24 | 1997-09-09 | Lykes Bros., Inc. | System for managing customer orders and method of implementation |
US5485369A (en) * | 1993-09-28 | 1996-01-16 | Tandata Corporation | Logistics system for automating tansportation of goods |
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US5638519A (en) * | 1994-05-20 | 1997-06-10 | Haluska; John E. | Electronic method and system for controlling and tracking information related to business transactions |
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JP3247274B2 (en) * | 1995-02-28 | 2002-01-15 | 松下電器産業株式会社 | Transport route search device |
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US5848394A (en) * | 1996-09-18 | 1998-12-08 | Leonard & Caroline White | Method and system for producing a work breakdown structure for a project |
US6236409B1 (en) * | 1997-06-23 | 2001-05-22 | The Construction Specification Institute | Method and apparatus for computer aided building specification generation |
US5899980A (en) * | 1997-08-11 | 1999-05-04 | Trivnet Ltd. | Retail method over a wide area network |
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US20020035537A1 (en) * | 1999-01-26 | 2002-03-21 | Waller Matthew A. | Method for economic bidding between retailers and suppliers of goods in branded, replenished categories |
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US6751597B1 (en) * | 1999-10-26 | 2004-06-15 | B2E Sourcing Optimization, Inc. | System and method for adaptive trade specification and match-making optimization |
US6240362B1 (en) * | 2000-07-10 | 2001-05-29 | Iap Intermodal, Llc | Method to schedule a vehicle in real-time to transport freight and passengers |
-
1999
- 1999-11-05 FR FR9913927A patent/FR2800891B1/en not_active Expired - Fee Related
-
2000
- 2000-10-26 JP JP2001535867A patent/JP2003523557A/en active Pending
- 2000-10-26 EP EP00974573A patent/EP1228466A1/en not_active Withdrawn
- 2000-10-26 WO PCT/FR2000/002990 patent/WO2001033444A1/en active Application Filing
- 2000-10-26 CA CA002390022A patent/CA2390022A1/en not_active Abandoned
- 2000-10-26 AU AU12824/01A patent/AU1282401A/en not_active Abandoned
-
2002
- 2002-05-03 US US10/138,200 patent/US20020165746A1/en not_active Abandoned
Non-Patent Citations (1)
Title |
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See references of WO0133444A1 * |
Also Published As
Publication number | Publication date |
---|---|
WO2001033444A1 (en) | 2001-05-10 |
CA2390022A1 (en) | 2001-05-10 |
JP2003523557A (en) | 2003-08-05 |
US20020165746A1 (en) | 2002-11-07 |
FR2800891A1 (en) | 2001-05-11 |
FR2800891B1 (en) | 2002-02-15 |
AU1282401A (en) | 2001-05-14 |
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