CN115600849A - Data center system based on decision analysis - Google Patents
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Abstract
The invention discloses a data center system based on decision analysis, which comprises a data information storage management module and an auxiliary decision module, wherein the data information storage management module is used for acquiring, storing and managing material data information in real time, the auxiliary decision module is used for reading, processing and mining data in the data information storage management module and realizing the aid of inventory analysis and purchase decision, the data information storage management module comprises an acquisition terminal module, a database storage module and a data compatible module, the acquisition terminal module is used for acquiring and displaying the material information in real time, the database storage module is used for establishing a database to store the material information, the data compatible module is used for ensuring that the information of multiple warehouses can be compatible in the acquisition and transmission process, and the data compatible module is connected with the acquisition terminal module through a network.
Description
Technical Field
The invention relates to the technical field of decision analysis, in particular to a data center system based on decision analysis.
Background
With the development of economic globalization, the market competition faced by manufacturing enterprises is more and more intense, more and more manufacturing enterprises also begin to realize the importance of informatization on improving the decision efficiency and the operation level of the enterprises, and the data information management systems such as enterprise resource plans and manufacturing resource plans begin to be continuously popularized and applied, so that timely and effective data information can provide support for good decisions, but with the change of the scale expansion and the market competition state of the enterprises, the traditional data information management system has the defects of low data updating efficiency, low information utilization degree and the like, and cannot meet the requirements of the current manufacturing enterprises. Therefore, it is necessary to design a data center system based on decision analysis to improve the information utilization rate and the decision optimization rate.
Disclosure of Invention
The present invention is directed to a data console system based on decision analysis to solve the above problems in the background art.
In order to solve the technical problems, the invention provides the following technical scheme: a data center system based on decision analysis comprises a data information storage management module and an auxiliary decision module, wherein the data information storage management module is used for collecting, storing and managing material data information in real time, the auxiliary decision module is used for reading, processing and mining data in the data information storage management module, and realizing inventory analysis and purchasing decision assistance, and the data information storage management module is in network connection with the auxiliary decision module.
According to the technical scheme, the data information storage management module comprises an acquisition terminal module, a database storage module and a data compatibility module, wherein the acquisition terminal module is used for acquiring and displaying material information in real time, the database storage module is used for establishing a database to store the material information, the data compatibility module is used for ensuring that information of multiple warehouses can be compatible in the acquisition and transmission processes, and the data compatibility module is in network connection with the acquisition terminal module.
According to the technical scheme, the auxiliary decision module comprises a data preprocessing module, a data mining module and a decision analysis module, the data preprocessing module is used for preprocessing data to improve the quality of the data, the data mining module is used for mining information of the preprocessed data, the decision analysis module is used for analyzing the existing data according to a certain decision strategy, the data mining module is connected with the data preprocessing module through a network, and the decision analysis module is connected with the data mining module through a network.
According to the technical scheme, the acquisition terminal module comprises an information acquisition module and a wireless communication module, the information acquisition module is used for identifying and reading the information of the scanned electronic tag, and the wireless communication module is used for realizing the interaction between the wireless communication function and an upper computer;
the data compatible module comprises a data processing module, a data access module and an equipment management module, wherein the data processing module is used for processing information received by the acquisition terminal, the data access module is used for providing access interactive interfaces with other modules, and the equipment management module is used for uniformly managing all readers;
the data mining module comprises a material classification submodule and a demand forecasting submodule, wherein the material classification submodule is used for classifying materials, and the demand forecasting submodule is used for forecasting demand;
the decision analysis module comprises a purchasing decision module, a low-use-frequency material processing module and an inventory analysis early warning module, the purchasing decision module is used for providing reasonable purchasing suggestions for different types of materials, the low-use-frequency material processing module is used for further decision processing of the analyzed low-use-frequency materials, and the inventory analysis early warning module is used for carrying out real-time analysis and inventory early warning on warehouse inventory.
According to the technical scheme, the operation method of the data center station system based on decision analysis mainly comprises the following steps:
step S1: placing the RFID label on the outer side of the material package, configuring a reader for the acquisition terminal, and using the acquisition terminal to electronically scan the label by a manager to acquire material information;
step S2: the acquisition terminal transmits the acquired information to the data compatible module, the data compatible module performs validity check and filtering on the received information, uploads the information to the database for storage, and updates the database in real time according to the information content;
and step S3: extracting auxiliary decision information from a database, preprocessing the auxiliary decision information, classifying materials and predicting demand through a data mining module, and transmitting the auxiliary decision information to a decision analysis module;
and step S4: and further analyzing the information after data mining, generating purchasing decision and inventory analysis decision information, and providing the purchasing decision and inventory analysis decision information for the user to complete enterprise data management decisions.
According to the above technical solution, the step S1 further includes the steps of:
step S11: a manager uses the electronic scanning tag of the acquisition terminal, identifies and reads the information of the scanned electronic tag, and switches a warehouse-in and warehouse-out mode according to actual conditions;
step S12: the radio frequency identification reader reminds a user through an indicator light signal according to the using state of a manager;
step S13: and a plurality of warehouse acquisition terminals perform information interaction with the upper computer through a wireless communication function.
According to the above technical solution, the step S2 further includes the steps of:
step S21: the data processing module and the RFID reader carry out information interaction through a reader interface, and format conversion, information verification and redundancy filtering processing are carried out on the information received by the acquisition terminal;
step S22: the processed information is further accessed through the interactive interface provided by the data access module and other modules;
step S23: the device management module performs unified management on all readers.
According to the above technical solution, the step S3 further includes the steps of:
step S31: the material classification submodule classifies the materials from three angles of material use, material value and purchasing risk, and performs grade marking and storage according to classification standards;
step S32: for the classification standard in the angle classification, a worker sets a corresponding threshold according to the specific state of an enterprise, the material is classified into three grades, the three grades are marked in a corresponding material table in a database, and each angle index is marked by different colors;
step S33: the demand forecasting sub-module extracts a historical consumption time series of the required material from the database, further models the material time series by using an ARIMA forecasting model, and forecasts the demand of the material in one week as a time period.
According to the above technical solution, the step S4 further includes the steps of:
step S41: the decision analysis module calls the material classification result and the demand prediction value in the data mining module, combines various information of materials and gives purchasing decision information according to a decision strategy;
step S42: the low-use-frequency material processing module is used for further carrying out decision analysis on the processing of the low-use-frequency material according to the material use rate;
step S43: the inventory analysis early warning module calls the updated material data information in the database, updates the inventory state of the materials at regular time, summarizes the materials in the abnormal inventory state and sends out early warning information in time.
According to the above technical solution, the time series prediction in step S33 specifically includes: acquiring the enterprise historical material demand quantity value, visualizing the corresponding time sequence of the enterprise historical material demand quantity value, carrying out sequence stabilization treatment, drawing ACF and PACF graphs, searching the optimal p and q parameters of an ARIMA model, establishing the ARIMA model, and predicting data in a specified period timeObtaining a predicted value S Preparing ；
The minimum stock value S in said step S41 Is low in The method specifically comprises the following steps:
the safety stock value S in said step S43 An The method specifically comprises the following steps:
compared with the prior art, the invention has the following beneficial effects: the system is provided with the data information storage management module and the auxiliary decision module, the scanning of the material in and out of the warehouse is realized through the radio frequency identification tag, the classification and demand quantity prediction of the material is further performed through the data mining module according to the collected data information, finally, the information after data mining is analyzed, the purchasing decision and inventory analysis decision information is generated and provided for a user, the data management decision of an enterprise is finally completed, and the purchasing decision efficiency and the accuracy of the enterprise are improved; meanwhile, the materials with low use frequency are processed in time through material classification, so that the occupation of a large amount of capital and inventory space of an enterprise and the consumption of manpower for redundant management of the materials are avoided, and the management efficiency is improved; the inventory state is monitored in real time because the inventory of an enterprise is always in a dynamic change state in the actual production process, and when the inventory is in an abnormal state, early warning is given out in time, so that the condition of resource waste caused by overstock of materials and supply over demand or the condition of order loss caused by insufficient supply and demand is avoided.
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The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic diagram of the system module composition of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides the following technical solutions: a data center system based on decision analysis comprises a data information storage management module and an auxiliary decision module, wherein the data information storage management module is used for collecting, storing and managing material data information in real time, the auxiliary decision module is used for reading, processing and mining data in the data information storage management module and realizing inventory analysis and purchase decision assistance, the data information storage management module is connected with the auxiliary decision module through a network, the data information storage management module and the auxiliary decision module are arranged, scanning of materials in and out of a warehouse is realized through a radio frequency identification tag, the materials are further classified and the demand quantity is predicted through a data mining module according to the collected data information, finally, the information after data mining is analyzed, a purchase decision and inventory analysis decision information is generated and provided for a user, and finally, an enterprise data management decision is completed, and the purchase decision efficiency and the accuracy of an enterprise are improved; meanwhile, the materials with low use frequency are processed in time through material classification, so that the occupation of a large amount of capital and inventory space of an enterprise and the consumption of manpower for redundant management of the materials are avoided, and the management efficiency is improved; the inventory state is monitored in real time because the inventory of an enterprise is always in a dynamic change state in the actual production process, and when the inventory is in an abnormal state, early warning is given out in time, so that the condition of resource waste caused by overstock of materials and supply over demand or the condition of order loss caused by insufficient supply and demand is avoided.
The data information storage management module comprises an acquisition terminal module, a database storage module and a data compatibility module, wherein the acquisition terminal module is used for acquiring and displaying material information in real time, the database storage module is used for establishing a database to store the material information, the data compatibility module is used for ensuring that the information of multiple warehouses can be compatible in the acquisition and transmission process, and the data compatibility module is in network connection with the acquisition terminal module.
The auxiliary decision module comprises a data preprocessing module, a data mining module and a decision analysis module, the data preprocessing module is used for preprocessing data to improve the quality of the data, the data mining module is used for mining information of the preprocessed data, the decision analysis module is used for analyzing the existing data according to a certain decision strategy and can provide effective decision support information for a user, the data mining module is connected with the data preprocessing module through a network, and the decision analysis module is connected with the data mining module through a network.
The acquisition terminal module comprises an information acquisition module and a wireless communication module, the information acquisition module is used for identifying and reading the information of the scanned electronic tag, and the wireless communication module is used for realizing the interaction between the wireless communication function and an upper computer;
the data compatible module comprises a data processing module, a data access module and an equipment management module, wherein the data processing module is used for processing information received by the acquisition terminal, the data access module is used for providing an access interactive interface with other modules, and the equipment management module is used for uniformly managing all readers;
the data mining module comprises a material classification submodule and a demand forecasting submodule, wherein the material classification submodule is used for classifying materials, and the demand forecasting submodule is used for forecasting demand;
the decision analysis module comprises a purchasing decision module, a low-use-frequency material processing module and an inventory analysis early warning module, the purchasing decision module is used for providing reasonable purchasing suggestions for different types of materials, the low-use-frequency material processing module is used for further decision processing of the separated low-use-frequency materials, and the inventory analysis early warning module is used for carrying out real-time analysis and inventory early warning on warehouse inventory.
The operation method of the data center station system based on decision analysis mainly comprises the following steps:
step S1: placing an RFID tag outside a material package, configuring a reader for an acquisition terminal, using the acquisition terminal to electronically scan the tag by a manager, acquiring material information, wherein the information acquisition is divided into warehouse entry and warehouse exit and respectively corresponds to the purchase and consumption of materials;
step S2: the acquisition terminal transmits the acquired information to the data compatible module, the data compatible module performs validity check and filtration on the received information, removes redundant and error data, uploads the redundant and error data to the database for storage, and updates the database in real time according to the information content;
and step S3: extracting auxiliary decision information from a database and preprocessing the auxiliary decision information, and improving the quality of data through data extraction, data processing and data storage, firstly extracting required data from the database according to a certain limiting condition, filtering, discretizing, recalculating and the like the data, then storing the data in the database in a unified format, facilitating calling during decision analysis, classifying materials and predicting demand through a data mining module, and transmitting the materials to a decision analysis module;
and step S4: and further analyzing the information after data mining, generating purchasing decision and inventory analysis decision information, and providing the purchasing decision and inventory analysis decision information for the user to complete enterprise data management decisions.
Step S1 further comprises the steps of:
step S11: a manager uses the collection terminal to electronically scan the tags, identifies and reads the information of the scanned electronic tags, and switches a warehouse-in and warehouse-out mode according to actual conditions;
step S12: the radio frequency identification reader is divided into a working state and a non-working state according to the using state of a manager, the working state is divided into warehouse entry scanning and warehouse exit scanning, and a user is reminded through an indicator light signal;
step S13: a plurality of warehouse collection terminals carry out information interaction through wireless communication function and host computer, because the enterprise has a plurality of warehouses, and every warehouse probably has a plurality of collection terminals, consequently need realize that wireless communication function carries out the transmission between the information.
Step S2 further comprises the steps of:
step S21: the data processing module and the RFID reader carry out information interaction through a reader interface, format conversion, information verification and redundancy filtering processing are carried out on information received by the acquisition terminal, the reader can send a large amount of original label data to the storage management module, the data processing module needs to carry out conversion, verification, cleaning, classification and other operations on the data, and the data with practical significance is sent to other modules;
step S22: the processed information is further accessed through the interactive interface provided by the data access module and other modules;
step S23: the device management module performs unified management on all readers, and mainly comprises the functions of registering, cancelling, using, state monitoring and the like of the radio frequency identification readers.
Step S3 further comprises the steps of:
step S31: the material classification submodule classifies the materials from three angles of material use, material value and purchasing risk, and performs grade marking and storage according to classification standards;
step S32: for classification standards in the angle classification, a worker sets corresponding threshold values according to the specific state of an enterprise, divides materials into three grades, marks the three grades in a corresponding material table in a database, marks the indexes of the angles by different colors respectively, marks the grades of the different indexes in the same angle by taking the lowest grade as a standard, and can visually judge the material use, the material value and the purchase risk of the workers according to the corresponding color and grade of each material to be used as auxiliary information of related decision making;
step S33: the demand forecasting sub-module extracts a historical consumption time series of the required material from the database, further models the material time series by using an ARIMA forecasting model, and forecasts the demand of the material in one week as a time period.
Step S4 further comprises the steps of:
step S41: the decision analysis module calls a material classification result and a demand quantity predicted value in the data mining module, combines multiple information of materials, gives purchase decision information according to a decision strategy, compares the current stock with the lowest stock set value according to the sequence of suppliers by regularly updating the stock of the materials needing to be automatically placed, checks the materials of all suppliers one by one after determining that the materials need to be purchased, generates purchase orders, and pushes all the purchase orders outwards after all the materials are checked to complete the purchase decision;
step S42: the low-use-frequency material processing module is used for further carrying out decision analysis on the processing of the low-use-frequency materials according to the material use rate, the low-use-frequency materials are divided according to the material use attributes, when the materials are not used or are in a low-use state for a long time, the materials are marked as the low-use-frequency materials, and the low-use-frequency materials which are eliminated due to old and new can be regularly sorted and then fed back to managers for preferential exhaustion; for the low-use frequency material with low quality problem, the material can be returned to the supplier or recycled at low price, thereby avoiding occupying a large amount of capital and inventory space of the enterprise and simultaneously avoiding wasting manpower to carry out redundant management on the material;
step S43: the inventory analysis early warning module calls updated material data information in the database, regularly updates the inventory state of the materials, summarizes the materials in the abnormal inventory state, and timely sends out early warning information.
The time series prediction in step S33 specifically includes: acquiring a historical material demand value of an enterprise, acquiring the historical material demand value by taking week as a periodic value, visualizing a corresponding time sequence of the historical material demand value, carrying out sequence stabilization, drawing ACF and PACF graphs, searching optimal p and q parameters of an ARIMA model, establishing the ARIMA model, predicting data in a specified period time, and acquiring a predicted value S Preparation of ；
Minimum stock value S in step S41 Is low in The method specifically comprises the following steps:
in the formula (I), the compound is shown in the specification,
the system is a material consumption value in an average purchasing period, and when the inventory level is consumed to the lowest inventory value, the system can send out an early warning to remind material purchasing;
safety stock value S in step S43 An The method specifically comprises the following steps:
in the formula, S An Safety stock value of material for corresponding period, S Preparation of For the predicted value, σ, of the demand in the corresponding period predicted by the prediction model d For the standard deviation of the daily demand in the last cycle,
and k is a demand conversion coefficient influenced by the standard deviation of the daily demand and the average purchase period and is a constant value larger than 0.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A data center system based on decision analysis comprises a data information storage management module and an auxiliary decision module, and is characterized in that: the data information storage management module is used for collecting, storing and managing material data information in real time, the assistant decision-making module is used for reading, processing and mining data in the data information storage management module and realizing inventory analysis and purchasing decision-making assistance, and the data information storage management module is connected with the assistant decision-making module through a network.
2. The decision-making analysis based data console system according to claim 1, wherein: the data information storage management module comprises an acquisition terminal module, a database storage module and a data compatible module, wherein the acquisition terminal module is used for acquiring and displaying material information in real time, the database storage module is used for establishing a database to store the material information, the data compatible module is used for ensuring that information of multiple warehouses can be compatible in the acquisition and transmission processes, and the data compatible module is in network connection with the acquisition terminal module.
3. A decision-making analysis based data center system according to claim 2, wherein: the auxiliary decision module comprises a data preprocessing module, a data mining module and a decision analysis module, the data preprocessing module is used for preprocessing data to improve the quality of the data, the data mining module is used for mining information of the preprocessed data, the decision analysis module is used for analyzing the existing data according to a certain decision strategy, the data mining module is connected with the data preprocessing module through a network, and the decision analysis module is connected with the data mining module through a network.
4. A decision-making analysis based data center system according to claim 3, wherein: the acquisition terminal module comprises an information acquisition module and a wireless communication module, the information acquisition module is used for identifying and reading the information of the scanned electronic tag, and the wireless communication module is used for realizing the interaction between the wireless communication function and an upper computer;
the data compatible module comprises a data processing module, a data access module and an equipment management module, wherein the data processing module is used for processing information received by the acquisition terminal, the data access module is used for providing access interactive interfaces with other modules, and the equipment management module is used for uniformly managing all readers;
the data mining module comprises a material classification submodule and a demand forecasting submodule, wherein the material classification submodule is used for classifying materials, and the demand forecasting submodule is used for forecasting demand;
the decision analysis module comprises a purchasing decision module, a low-use-frequency material processing module and an inventory analysis early warning module, the purchasing decision module is used for providing reasonable purchasing suggestions for different types of materials, the low-use-frequency material processing module is used for further decision processing of the analyzed low-use-frequency materials, and the inventory analysis early warning module is used for carrying out real-time analysis and inventory early warning on warehouse inventory.
5. The decision-making analysis based data console system according to claim 4, wherein: the operation method of the data center station system based on decision analysis mainly comprises the following steps:
step S1: placing the RFID tag outside a material package, configuring a reader for an acquisition terminal, and using the acquisition terminal to electronically scan the tag by a manager to acquire material information;
step S2: the acquisition terminal transmits the acquired information to the data compatible module, the data compatible module performs validity check and filtering on the received information, uploads the information to the database for storage, and updates the database in real time according to the information content;
and step S3: extracting auxiliary decision information from a database, preprocessing the auxiliary decision information, classifying materials and predicting the demand through a data mining module, and transmitting the auxiliary decision information to a decision analysis module;
and step S4: and further analyzing the information after data mining, generating purchasing decision and inventory analysis decision information, and providing the purchasing decision and inventory analysis decision information for the user to complete enterprise data management decisions.
6. The decision-making analysis based data console system according to claim 5, wherein: the step S1 further includes the steps of:
step S11: a manager uses the collection terminal to electronically scan the tags, identifies and reads the information of the scanned electronic tags, and switches a warehouse-in and warehouse-out mode according to actual conditions;
step S12: the radio frequency identification reader reminds a user through an indicator light signal according to the using state of a manager;
step S13: a plurality of warehouse acquisition terminals carry out information interaction through wireless communication function and host computer.
7. The decision-making analysis based data console system according to claim 6, wherein: the step S2 further includes the steps of:
step S21: the data processing module and the RFID reader carry out information interaction through a reader interface, and format conversion, information verification and redundancy filtering processing are carried out on the information received by the acquisition terminal;
step S22: the processed information is further accessed through the interactive interface provided by the data access module and other modules;
step S23: the device management module is used for uniformly managing all readers.
8. The decision-making analysis based data console system according to claim 7, wherein: the step S3 further includes the steps of:
step S31: the material classification submodule classifies the materials from three angles of material use, material value and purchasing risk, and performs grade marking and storage according to classification standards;
step S32: for the classification standard in the angle classification, a worker sets corresponding threshold values according to the specific state of an enterprise, the materials are classified into three grades, the three grades are marked in a corresponding material table in a database, and each angle index is respectively marked by different colors;
step S33: the demand forecasting sub-module extracts a historical consumption time series of the required material from the database, further models the material time series by using an ARIMA forecasting model, and forecasts the demand of the material in one week as a time period.
9. The decision-making analysis based data console system according to claim 8, wherein: the step S4 further includes the steps of:
step S41: the decision analysis module calls the material classification result and the demand prediction value in the data mining module, combines various information of materials and gives purchasing decision information according to a decision strategy;
step S42: the low-use-frequency material processing module is used for further carrying out decision analysis on the processing of the low-use-frequency material according to the material use rate;
step S43: the inventory analysis early warning module calls the updated material data information in the database, updates the inventory state of the materials at regular time, summarizes the materials in the abnormal inventory state and sends out early warning information in time.
10. A decision-making analysis based data console system according to claim 9, wherein: the time series prediction in step S33 specifically includes: acquiring the enterprise historical material demand quantity value, visualizing the corresponding time sequence of the enterprise historical material demand quantity value, carrying out sequence stabilization treatment, drawing an ACF (anisotropic conductive film) and PACF (Picture archiving and communication Format) graph, searching the optimal p and q parameters of an ARIMA (autoregressive integrated moving average) model, establishing the ARIMA model, predicting data within a specified period time, and acquiring a predicted value S Preparation of ；
The minimum stock value S in said step S41 Is low in The method specifically comprises the following steps:
the safety stock value S in said step S43 An The method specifically comprises the following steps:
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040098321A1 (en) * | 2002-11-15 | 2004-05-20 | Liu Zhexiong | Integrated inventory management system and method |
| CN1741053A (en) * | 2005-09-22 | 2006-03-01 | 上海交通大学 | Logistic warehousing and storaging decision supporting system |
| CN105139090A (en) * | 2015-08-25 | 2015-12-09 | 国网天津市电力公司 | Power industry safety stock decision analysis method based on consumption prediction |
| CN106651120A (en) * | 2016-11-07 | 2017-05-10 | 成都科曦科技有限公司 | Smart hotel material supply chain management and control system |
| CN108921461A (en) * | 2018-05-16 | 2018-11-30 | 天津科技大学 | Warehousing system and control method based on RFID technique |
| CN111144632A (en) * | 2019-12-19 | 2020-05-12 | 深圳供电局有限公司 | Prediction management and control model for power storage materials |
| CN111222733A (en) * | 2018-11-26 | 2020-06-02 | 上海数劢信息科技有限公司 | Industrial intelligent decision system and working method thereof |
| CN111312383A (en) * | 2018-12-12 | 2020-06-19 | 北京绪水互联科技有限公司 | Method and server for acquiring utilization rate reference data of equipment and system for acquiring utilization rate reference data of equipment |
| CN113177698A (en) * | 2021-04-12 | 2021-07-27 | 北京科技大学 | Industrial big data analysis aid decision platform system |
| CN113935681A (en) * | 2021-09-27 | 2022-01-14 | 京弘达信息技术（北京）有限公司 | Medical consumable operation management decision system |
-
2022
- 2022-09-09 CN CN202211105699.9A patent/CN115600849B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040098321A1 (en) * | 2002-11-15 | 2004-05-20 | Liu Zhexiong | Integrated inventory management system and method |
| CN1741053A (en) * | 2005-09-22 | 2006-03-01 | 上海交通大学 | Logistic warehousing and storaging decision supporting system |
| CN105139090A (en) * | 2015-08-25 | 2015-12-09 | 国网天津市电力公司 | Power industry safety stock decision analysis method based on consumption prediction |
| CN106651120A (en) * | 2016-11-07 | 2017-05-10 | 成都科曦科技有限公司 | Smart hotel material supply chain management and control system |
| CN108921461A (en) * | 2018-05-16 | 2018-11-30 | 天津科技大学 | Warehousing system and control method based on RFID technique |
| CN111222733A (en) * | 2018-11-26 | 2020-06-02 | 上海数劢信息科技有限公司 | Industrial intelligent decision system and working method thereof |
| CN111312383A (en) * | 2018-12-12 | 2020-06-19 | 北京绪水互联科技有限公司 | Method and server for acquiring utilization rate reference data of equipment and system for acquiring utilization rate reference data of equipment |
| CN111144632A (en) * | 2019-12-19 | 2020-05-12 | 深圳供电局有限公司 | Prediction management and control model for power storage materials |
| CN113177698A (en) * | 2021-04-12 | 2021-07-27 | 北京科技大学 | Industrial big data analysis aid decision platform system |
| CN113935681A (en) * | 2021-09-27 | 2022-01-14 | 京弘达信息技术（北京）有限公司 | Medical consumable operation management decision system |
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