Intelligent supply chain platform supporting multi-agent online collaborative decision

Abstract

The invention discloses an intelligent supply chain platform supporting multi-agent online collaborative decision, and relates to the field of supply chain management, and the platform comprises an uploading module which is used for uploading supply chain basic information and storing the supply chain basic information; the identification module is used for traversing the basic information of the supply chain uploaded in the uploading module and identifying the health of the supply chain based on the basic information of the supply chain; the decision module is used for deciding a supply chain matched with the current supply demand; by means of deep analysis of historical supply data of products, the health degree of the supply chain can be accurately quantified, enterprises can be assisted to know the condition of the supply chain, risks are prevented and controlled, supply and demand can be accurately matched through multi-subject collaborative decision making, stock overstock and stockout are avoided, and the customer satisfaction degree is improved; in addition, a plurality of standby supply chains can be determined, the main supply chain with many nodes is preferentially selected, the main supply chain can be rapidly switched in emergency, continuous supply is guaranteed, the overall toughness of the supply chain is enhanced, and the management level and the operation efficiency of the enterprise supply chain are comprehensively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of supply chain management, and specifically to an intelligent supply chain platform that supports multi-agent online collaborative decision-making. Background Art

[0002] The supply chain is a functional network structure that revolves around the core enterprise and connects suppliers, manufacturers, distributors, retailers, and end users into an integrated whole through the control of information flow, logistics, and capital flow, starting from the procurement of raw materials, making intermediate products and final products, and finally delivering the products to consumers through the sales network.

[0003] The invention patent application with application number 202310428199.7 discloses a smart supply chain platform, including a sales end, a production end, a supplier, a supply commodity classification unit, a supply commodity statistics unit, a supply forecast unit, a smart supply chain terminal, a supply order generation module, a supply record unit, a logistics location positioning unit, a smart supply adjustment unit and a supply road condition identification terminal. The sales end, the production end and the supplier are all bidirectionally connected to the supply commodity classification unit, the output end of the supply commodity classification unit is communicatively connected to the input end of the supply commodity statistics unit, the output end of the supply commodity statistics unit is communicatively connected to the input end of the supply forecast unit, the supply commodity statistics unit is bidirectionally connected to the smart supply chain terminal, and the smart supply The chain terminal is bidirectionally connected to the supply order generation module, the output end of the supply order generation module is communicatively connected to the input end of the supply recording unit, the output end of the supply recording unit is communicatively connected to the input end of the logistics position positioning unit, the output end of the logistics position positioning unit is communicatively connected to the input end of the intelligent supply adjustment unit, and the intelligent supply adjustment unit is bidirectionally connected to the supply road condition identification terminal. This application effectively solves the problem that "the existing intelligent supply chain has poor monitoring stability of supply warehousing, lacks the ability to quickly limit the expected quantity of supplied goods, is prone to insufficient supply of goods in the supply chain, and the arrangement of supply vehicles in the intelligent supply chain is not perfect, and the allocation of goods to supply vehicles is not smart enough."

[0004] However, when users with product purchasing needs choose a supply chain, they face a variety of challenges due to the large number and complexity of supply chains, as well as the fact that there are many users with the same product purchasing needs. This leads to inconsistent opinions on supply chain selection decisions. To this end, we propose a smart supply chain platform that supports multi-agent online collaborative decision-making. Summary of the Invention

[0005] In response to the above-mentioned shortcomings of the existing technology, the present invention provides a smart supply chain platform that supports multi-agent online collaborative decision-making, which can effectively solve the problems of the existing technology.

[0006] To achieve the above object, the present application is realized by the following technical solutions. The application discloses a smart supply chain platform supporting multi-agent online collaborative decision-making, comprising: An uploading module is configured to upload supply chain basic information and store the supply chain basic information. An identification module is configured to traverse the supply chain basic information uploaded in the uploading module, identify the health of the supply chain based on the supply chain basic information. A decision module is configured to decide the supply chain that matches the current supply demand. An output module is configured to obtain the decision result in the decision module, select the best matching supply chain based on the decision result, and output the best matching supply chain. A maintenance module is configured to obtain the real-time state information of the supply chain output by the output module in the application stage, and provide a backup supply chain for the current application supply chain based on the real-time state information of the supply chain. Further, the supply chain basic information uploaded in the uploading module includes product historical supply volume, product historical supply timeliness accuracy rate, product historical supply qualification rate, product historical supply damage rate, and product supply chain node total amount. The uploading module is internally provided with a sub-module, comprising: A storage unit is configured to receive the supply chain basic information uploaded in the uploading module and store the supply chain basic information. When the storage unit stores the supply chain basic information, the supply chain basic information is stored based on the supply chain from which the supply chain basic information is sourced.

[0007] Further, the identification module operates in the storage unit to identify the health of the supply chain based on the basic information of the unique supply chain. The identification module continuously operates until the basic information of each supply chain in the storage unit is applied to the health identification of the corresponding supply chain. The health identification logic of the supply chain in the identification module is represented as: ; In the formula: is the health of the supply chain; is the total amount of product historical supply; is the number of product historical supply of the supply chain; is the timeliness accuracy rate of the i-th product supply of the supply chain; is the qualification rate of the i-th product supply of the supply chain; is the damage rate of the i-th product supply of the supply chain; is the total amount of nodes in the supply chain; The timeliness accuracy rate of the product supply of the supply chain is the ratio of the scheduled supply transportation time to the actual time, The greater the value is, the healthier the supply chain is.

[0008] Further, the decision module is arranged to run a stage in which any number of system background authorized users select a supply chain from a set of supply chains in the basic information source supply chain collection in the storage module.

[0009] Further, the decision module is arranged to run a stage in which any number of system background authorized users select a supply chain from a set of supply chains in the basic information source supply chain collection in the storage module. A statistical unit is arranged to count the number of times each supply chain is selected by the users in the decision module. An analysis unit is arranged to obtain the statistical results of the number of times each supply chain is selected by the statistical unit, select the supply chains with the largest number of selections as the analysis targets, and analyze the supply chain recommendation indexes.

[0010] Further, the analysis logic of the supply chain recommendation index in the analysis unit is represented as: ; In the formula: is the supply chain recommendation index; is the number of times the supply chain is selected; is the healthiness of the supply chain identified most recently; is the healthiness of the supply chain identified for the first time; wherein, the larger the value is, the more suitable the corresponding supply chain is for the current supply demand.

[0011] Further, the output module is arranged to run a stage in which the supply chain recommendation index analysis results of each supply chain for which the analysis is performed are obtained in the analysis unit, and the supply chain with the highest supply chain recommendation index is selected as the output target and output. In the formula, the output target of the output module is the user who performs the supply chain selection in the decision module.

[0012] Further, the maintenance module is arranged to run a stage in which the supply chain output by the output module is identified as the identification target, and other supply chains with the same supply chain nodes are identified, and the supply chain with the largest number of common supply chain nodes with the current application supply chain is selected as the standby supply chain. In the formula, the other supply chains with the same supply chain nodes are identified as the identification target in the identification stage, and the set of supply chains other than the supply chain output by the output module is obtained as the identification target.

[0013] Further, the standby supply chain determined by the maintenance module is not less than two, and is the supply chain with the largest number of common supply chain nodes with the current application supply chain.

[0014] Further, the uploading module is internally connected with a storage unit through a local area network, the uploading module is connected with an identification module and a decision module through the local area network, the identification module is connected with the storage unit through the local area network, the decision module is connected with a statistical unit and an analysis unit through the local area network, the decision module is connected with an output module and a maintenance module through the local area network, and the output module is connected with the analysis unit through the local area network.

[0015] Compared with the known prior art, the technical scheme provided by the application has the following beneficial effects: The intelligent supply chain platform supporting multi-agent online collaborative decision provided by the application can accurately quantify the health degree of the supply chain by means of deep analysis of product historical supply data during operation, helps enterprises to understand the supply chain condition and prevent and control risks, can accurately match supply and demand through multi-agent collaborative decision, avoids inventory backlog and shortage, and improves customer satisfaction; a plurality of backup supply chains are determined, a node with more nodes is preferentially selected, the main supply chain can be quickly switched when the main supply chain encounters an unexpected situation, the uninterrupted supply is ensured, the overall toughness of the supply chain is enhanced, the supply chain management level and operation efficiency of the enterprise are comprehensively improved, and the problem of non-uniform opinions of multi-user decision supply chain is solved. BRIEF DESCRIPTION OF DRAWINGS

[0016] In order to more clearly illustrate the technical scheme in the embodiments of the application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiment or prior art description. Obviously, the drawings in the following description are only some embodiments of the application, and for those skilled in the art, other drawings can be obtained without creative labor on the basis of these drawings.

[0017] Figure 1 It is a structural schematic diagram of an intelligent supply chain platform supporting multi-agent online collaborative decision. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical scheme and advantages of the embodiments of the application more clear, the technical scheme in the embodiments of the application will be clearly and completely described below in combination with the drawings in the embodiments of the application. Obviously, the described embodiments are some embodiments of the application, not all embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the application.

[0019] The application will be further described below in combination with the embodiments.

[0020] Embodiment: An intelligent supply chain platform supporting multi-agent online collaborative decision in this embodiment is as follows:Figure 1 As shown, comprising: An uploading module for uploading supply chain basic information, and storing the supply chain basic information; The supply chain basic information uploaded in the uploading module includes product historical supply volume, product historical supply timeliness accuracy rate, product historical supply qualified rate, product historical supply damage rate, and product supply chain node total amount; The uploading module is internally provided with a sub-module, comprising: A storage unit for receiving and storing the supply chain basic information uploaded in the uploading module; When the storage unit stores the supply chain basic information, the supply chain basic information is stored based on the supply chain from which the supply chain basic information is sourced; An identification module for traversing the supply chain basic information uploaded in the uploading module, and identifying the health of the supply chain based on the supply chain basic information; In the running stage of the identification module, the basic information of each supply chain in the storage unit is taken as an identification target to identify the health of the supply chain, and the identification module is continuously run until the basic information of each supply chain in the storage unit is applied to the health identification of the corresponding supply chain; The logic of the health of the supply chain in the identification module is represented as: ; In the formula: is the health of the supply chain; is the total amount of product historical supply; is the number of times of historical product supply of the supply chain; is the timeliness accuracy rate of the i-th product supply of the supply chain; is the qualified rate of the i-th product supply of the supply chain; is the damage rate of the i-th product supply of the supply chain; is the total amount of nodes in the supply chain; The timeliness accuracy rate of the product supply of the supply chain is the ratio of the scheduled supply transportation time to the actual time, The greater the value, the healthier the supply chain; Through the above logical formula, a digital representation logic of the health of each supply chain is provided, which further supports the running of the decision module of the system in this embodiment; A decision module for deciding the supply chain matched with the current supply demand; In the running stage of the decision module, a user authorized by any number of system backends selects a supply chain in the supply chain set in the basic information source in the storage module in the decision module; The decision module is internally provided with a sub-module, comprising: A statistics unit is configured to count the number of times each user selects a supply chain in the decision module; An analysis unit is configured to obtain the statistics result of the number of times of selecting a supply chain from the statistics unit, select the supply chain with the largest number of times of selection within three times as an analysis target, and analyze the supply chain recommendation index; The analysis logic of the supply chain recommendation index in the analysis unit is represented as: ; In the formula, is the supply chain recommendation index; is the number of times of selecting a supply chain; is the health identified for the last time for the supply chain; is the health identified for the first time for the supply chain; wherein, is larger, indicating that the corresponding supply chain is more suitable for the current supply demand; The above logical formula provides support for the supply chain output by the system in the embodiment, and ensures that the supply chain output by the system in the embodiment is the supply chain that is best suitable for the current product supply demand; An output module is configured to obtain the decision result in the decision module, and select the supply chain that is best suitable for the supply chain as an output target based on the decision result; In the analysis unit, the output module obtains the analysis result of the recommendation index of each supply chain that is analyzed, and selects the supply chain with the highest recommendation index as an output target for output; The output target of the output module is the user who selects a supply chain in the decision module; A maintenance module is configured to obtain the real-time state information of the supply chain in the application stage of the supply chain output by the output module, and provide a backup supply chain for the current application supply chain based on the real-time state information of the supply chain In the maintenance module, the supply chain output by the output module is taken as an identification target, other supply chains with the same supply chain node are identified, and a supply chain is selected from the other supply chains as a backup supply chain; The other supply chains with the same supply chain node are taken as the identification target in the identification stage, and the supply chain to which the basic information of the supply chain stored in the storage unit belongs and the supply chain other than the supply chain output by the output module are taken as the identification target to identify the other supply chains with the same supply chain node; The backup supply chain determined by the maintenance module is not less than two, and is the supply chain with the largest number of common supply chain nodes with the current application supply chain; The uploading module is interactively connected with a storage unit through a local area network, the uploading module is interactively connected with an identification module and a decision module through the local area network, the identification module is interactively connected with the storage unit through the local area network, the decision module is interactively connected with a statistical unit and an analysis unit through the local area network, the decision module is interactively connected with an output module and a maintenance module through the local area network, and the output module is interactively connected with the analysis unit through the local area network.

[0021] In the embodiment, the uploading module runs to upload basic information of a supply chain, the basic information of the supply chain is stored, the storage unit synchronously receives the basic information of the supply chain uploaded by the uploading module, the basic information of the supply chain is stored, the identification module runs to traverse the basic information of the supply chain uploaded by the uploading module, the health of the supply chain is identified based on the basic information of the supply chain, the decision module further decides the supply chain matched with the current supply demand, the statistical unit synchronously counts the number of times of selection of the supply chain by each user in the decision module, the analysis unit obtains the statistical result of the number of times of selection of the supply chain in real time, selects the supply chain with the most number of times of selection within three times as an analysis target, analyzes a supply chain recommendation index, the output module obtains the decision result in the decision module, selects an optimal supply chain based on the decision result, and finally the maintenance module obtains the supply chain output by the output module in an application stage, real-time state information of the supply chain, and based on the real-time state information of the supply chain, a standby supply chain is provided for the current application supply chain.

[0022] In summary, in the above embodiment, the system can accurately quantify the health degree of the supply chain by means of deep analysis of the historical supply data of the product, helps enterprises to understand the supply chain situation and prevent and control risks, can accurately match supply and demand through multi-agent collaborative decision, avoids inventory backlog and shortage, and improves customer satisfaction; a plurality of standby supply chains are determined, a node with more nodes is preferentially selected, the main supply chain can be quickly switched when a sudden situation occurs, the supply is uninterrupted, the overall toughness of the supply chain is enhanced, the management level and operation efficiency of the enterprise supply chain are comprehensively improved, and the problem of non-uniform opinions of multiple users in decision of the supply chain is solved.

[0023] The above embodiments are only used to illustrate the technical solutions of the present application, but not limit the same; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement to part of the technical features; and these modifications or replacements will not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A smart supply chain platform that supports multi-agent online collaborative decision-making, characterized by: include: The upload module is used to upload and store basic supply chain information; The identification module is used to traverse the basic supply chain information uploaded in the upload module and identify the health of the supply chain based on the basic supply chain information; Decision-making module, used to determine the supply chain that matches current supply demand; The output module is used to obtain the decision results in the decision module and select and output the best-fit supply chain based on the decision results; The maintenance module is used to obtain the real-time status information of the supply chain output by the output module during the application phase, and provide a backup supply chain for the current application supply chain based on the real-time status information of the supply chain.

2. The intelligent supply chain platform supporting multi-agent online collaborative decision-making according to claim 1 is characterized in that: The basic supply chain information uploaded in the upload module includes the historical supply volume of the product, the historical supply timeliness accuracy rate of the product, the historical supply qualification rate of the product, the historical supply damage rate of the product, and the total number of product supply chain nodes; The upload module is internally provided with submodules, including: The storage unit is used to receive the basic information of the supply chain uploaded by the upload module and store the basic information of the supply chain; Among them, when the storage unit stores the basic information of the supply chain, the basic information of the supply chain is stored in a differentiated manner based on the supply chain from which the basic information of the supply chain comes.

3. The intelligent supply chain platform supporting multi-agent online collaborative decision-making according to claim 1 is characterized in that: During the operation phase of the identification module, the basic information of a unique supply chain is used as the identification target in the storage unit to identify the health of the supply chain. The identification module continues to operate until the basic information of each supply chain in the storage unit is used to identify the health of the corresponding supply chain. The supply chain health identification logic in the identification module is expressed as follows: ； Where: For supply chain health; The total historical supply of the product; The historical product supply times for the supply chain; The accuracy rate of product delivery time for the supply chain i; The qualified rate of the product supplied by the supply chain for the i-th time; is the breakage rate of the product supplied by the supply chain for the i-th time; is the total number of nodes in the supply chain; Among them, the accuracy rate of supply chain supply product time is the ratio of the agreed supply and transportation time of the supply chain supply product to the actual time. The larger the value, the healthier the supply chain.

4. The intelligent supply chain platform supporting multi-agent online collaborative decision-making according to claim 1 is characterized in that: During the operation phase of the decision module, any number of users authorized by the system backend select a supply chain from the supply chain set of basic information sources in the storage module in the decision module.

5. The intelligent supply chain platform supporting multi-agent online collaborative decision-making according to claim 1 is characterized in that: The decision module is provided with submodules at the lower level, including: A statistical unit, used to count the number of supply chains selected by each user in the decision module; The analysis unit is used to obtain the statistical results of the number of supply chain selections run by the statistical unit, select three or fewer supply chains with the most selections as analysis targets, and analyze the supply chain recommendation index.

6. The intelligent supply chain platform supporting multi-agent online collaborative decision-making according to claim 5 is characterized in that: The analysis logic of the supply chain recommendation index in the analysis unit is expressed as follows: ； Where: Recommend an index for the supply chain; Select times for the supply chain; The latest identified health of the supply chain; Identify the health of the supply chain for the first time; in, The larger it is, the more adaptable its corresponding supply chain is to the current supply demand.

7. The intelligent supply chain platform supporting multi-agent online collaborative decision-making according to claim 1 is characterized in that: During the output module operation phase, the analysis unit obtains the recommendation index analysis results of each supply chain that performs recommendation index analysis, and outputs the supply chain with the highest recommendation index as the output target; Among them, the output target of the output module is the user who performs supply chain selection in the decision module.

8. The intelligent supply chain platform supporting multi-agent online collaborative decision-making according to claim 1 is characterized in that: During the operation phase of the maintenance module, the supply chain output by the output module is used as an identification target, other supply chains with the same supply chain nodes are identified, and a supply chain is selected from the other supply chains as a backup supply chain; Among them, in the identification stage, other supply chains with the same supply chain nodes are identified by taking the supply chain to which the basic supply chain information is stored in the storage unit and the set of supply chains other than the supply chain output by the output module as the identification target to identify other supply chains with the same supply chain nodes.

9. The intelligent supply chain platform supporting multi-agent online collaborative decision-making according to claim 1 is characterized in that: The backup supply chains determined by the maintenance module operation are no less than two, and the backup supply chains have the largest number of common supply chain nodes with the current application supply chain.

10. The intelligent supply chain platform supporting multi-agent online collaborative decision-making according to claim 1 is characterized in that: The upload module is interactively connected to a storage unit via a local area network, the upload module is interactively connected to an identification module and a decision module via a local area network, the identification module is interactively connected to the storage unit via a local area network, the decision module is interactively connected to a statistics unit and an analysis unit at a lower level via a local area network, the decision module is interactively connected to an output module and a maintenance module via a local area network, and the output module is interactively connected to the analysis unit via a local area network.

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