Supply chain review supervision management system, management method, equipment and storage medium
By introducing an evaluation and supervision management system into the supply chain system, collecting and storing the influencing factor information of each stage, and using optimization algorithms to calculate the best business path, the problem of the lack of evaluation and supervision mechanism in the existing supply chain system is solved, and the perfect service and fund optimization of the entire supply chain process is achieved.
Patent Information
- Application Number
- CN202411804012.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-10
- Publication Date
- 2025-06-20
AI Technical Summary
The existing supply chain system lacks an evaluation and supervision mechanism, resulting in the failure of perfect service in the entire supply chain process and serious waste of funds.
It provides a supply chain review and supervision system, including a data acquisition monitoring unit, a big data storage unit and an optimization review unit. By collecting and storing the influencing factor information of each stage of the supply chain, and using optimization algorithms to calculate the best business path, realizing the full process management and optimization of the supply chain.
Real-time supervision and management of the entire supply chain process is achieved, perfect supply chain services are ensured, capital waste is reduced, and the most suitable suppliers, distributors, storageers and sellers are selected through optimization algorithms.
Smart Images
Figure CN120181633A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of supply chain, and particularly relates to a supply chain review and supervision management system, a management method, a device and a storage medium. Background Art
[0002] A supply chain refers to the network structure formed by upstream and downstream enterprises involved in activities that provide products or services to end-users during the production and circulation processes. The supply chain includes the entire process from raw material and component procurement, transportation, processing and manufacturing, to distribution and finally delivery to customers. The core function of the supply chain is the control of information flow, logistics and capital flow, which connects suppliers, manufacturers, distributors, retailers and end-users into an integrated functional network structure. The supply chain is not only a material chain, an information chain and a capital chain, but also a value-added chain, because the materials increase their value during processes such as processing, packaging and transportation on the supply chain, thus bringing benefits to relevant enterprises on this chain.
[0003] For different suppliers, manufacturers, distributors and retailers on the supply chain, the corresponding capital requirements and service level requirements are different. If blindly selected, the desired service level corresponding to the capital may not be achieved ultimately.
[0004] Based on the above problems, there is an urgent need for a system and method that can supervise and manage the entire process of the supply chain to ensure perfect supply chain services and reduce waste of funds. Summary of the Invention
[0005] In view of the current supply chain system lacking corresponding review and supervision mechanisms, which may lead to the inability to obtain a relatively perfect service and waste of funds in the entire process of the supply chain, the present invention provides a supply chain review and supervision management system and a management method to solve the above problems.
[0006] To achieve the above object, the present invention is realized through the following technical solutions: An embodiment of the present application discloses a supply chain review and supervision management system, including: A data collection and monitoring unit: collecting various influencing factor information at different stages of the supply chain, and collecting the influencing factor information at different stages as corresponding review data points; A big data storage unit: storing the influencing factor information at different stages in all implemented business processes in the big data storage unit; An optimization review unit: inputting the influencing factor information in all implemented business processes into corresponding optimization algorithms for calculation to obtain the best business approach as the optimal option for subsequent operations.
[0007] Adopt the above technical solution: The chain review supervision and management system provided in the above solution can obtain the business data of different stages of the supply chain in real time through the data acquisition and monitoring unit, including suppliers, distributors, storage providers, and retailers, store it in the big data storage unit, and review the different business data at each stage through the optimization review unit, optimize different types of businesses, and finally achieve perfect supply chain services and reduce waste of funds.
[0008] Preferably, the optimization review unit includes: Supplier optimization review module: Used to obtain the impact factor information of the business processes implemented by the supplier, and perform optimization algorithm calculations on the review data points corresponding to the optimization information to obtain the optimal supplier business approach; Distributor optimization review module: Used to obtain the impact factor information of the business processes implemented by the distributor, and perform optimization algorithm calculations on the review data points corresponding to the optimization information to obtain the optimal distributor business approach; Storage provider optimization review module: Used to obtain the impact factor information of the business processes implemented by the storage provider, and perform optimization algorithm calculations on the review data points corresponding to the optimization information to obtain the optimal storage business approach; Retailer optimization review module: Used to obtain the impact factor information of the business processes implemented by the retailer, and perform optimization algorithm calculations on the review data points corresponding to the optimization information to obtain the optimal retailer business approach.
[0009] Adopt the above technical solution: The above solution can obtain business data from four aspects, including suppliers, distributors, storage providers, and retailers, and perform corresponding optimization calculations to optimize different business directions of the supply chain, reduce expenses, and obtain more perfect services.
[0010] Further preferably, it further includes: a customer evaluation impact factor collection unit: Used to collect the impact factor information of customer evaluations at different stages of the supply chain and convert it into corresponding review data points.
[0011] Further preferably, the algorithm formula set in the supplier optimization review unit is: ; , Wherein, is the total review data point of the supplier, is the delivery time review coefficient, is the delivery time impact coefficient, is the proportion of delivery time in the total supplier evaluation data points, is the product quality review coefficient, is the product quality impact coefficient, is the proportion of product quality in the overall evaluation data points of the supplier, is the price review coefficient, is the product price impact coefficient, is the proportion of product price in the overall evaluation data points of the supplier, is the customer evaluation review coefficient, is the supplier customer evaluation impact coefficient, is the proportion of customer evaluation in the overall evaluation data points of the supplier, is the th business, is the number of businesses; is the set delivery time of the goods, is the actual delivery time of the goods, Delivery time conversion coefficient, is the th delivered goods, m is the number of goods transactions.
[0012] Adopting the above technical solution: Through the system algorithm, the above solution can digitally calculate various data of the supplier, and based on the calculation results, an effective evaluation of different suppliers can be achieved, and more suitable suppliers can be selected.
[0013] Further preferably, the algorithm formula set in the distributor optimization review unit is: ; where M is the overall review data points of the distributor, is the delivery speed review coefficient, is the delivery speed impact coefficient, is the proportion of delivery speed in the overall evaluation data points of the distributor, is the commodity preservation quality review coefficient, is the commodity preservation quality impact coefficient, is the proportion of commodity preservation quality in the overall evaluation data points of the distributor, is the customer evaluation review coefficient, is the distributor customer evaluation impact coefficient, is the proportion of customer evaluation in the overall evaluation data points of the distributor, is the th business, is the number of businesses.
[0014] Adopting the above technical solution: Through the system algorithm, the above solution can digitally calculate various data of the distributor, and based on the calculation results, an effective evaluation of different distributors can be achieved, and more suitable distributors can be selected.
[0015] Further preferably, the algorithm formula set in the storage merchant optimization review unit is as follows: ; where Z is the total review data points of the storage merchant, is the review coefficient of the storage integrity rate of the storage merchant, is the influence coefficient of the storage integrity rate, is the proportion of the storage integrity rate in the total evaluation data points of the storage merchant, is the price coefficient of the storage merchant, is the influence coefficient of the storage price, is the proportion of the storage price in the total evaluation data points of the storage merchant, is the review coefficient of the customer evaluation, is the influence coefficient of the customer evaluation, is the proportion of the customer evaluation in the total evaluation data points of the storage merchant; is the th business, is the number of businesses.
[0016] Adopting the above technical solution: Through the system algorithm, the above solution can perform digital calculations on the various data of the storage merchant, and based on the calculation results, an effective evaluation of different storage merchants can be achieved, and more suitable storage merchants can be selected.
[0017] Further preferably, the algorithm formula set in the seller optimization review unit is as follows: ; where Y is the total evaluation data points of the seller, is the review coefficient of the business volume, is the influence coefficient of the business volume, is the proportion of the business volume in the seller optimization review unit, is the review coefficient of the sales efficiency, is the influence coefficient of the sales efficiency, is the proportion of the sales efficiency in the seller optimization review unit, is the review coefficient of the customer evaluation, is the influence coefficient of the customer evaluation, is the proportion of the customer evaluation in the seller optimization review unit, is the th business, is the number of businesses.
[0018] Adopting the above technical solution: Through the system algorithm, the above solution can perform digital calculations on the various data of the seller, and based on the calculation results, an effective evaluation of different sellers can be achieved, and more suitable sellers can be selected.
[0019] A supply chain review and supervision management method is applied to a supply chain review and supervision management system described in any one of the above, and is characterized by including: S1: Collect various influencing factor information at different stages of the supply chain, and collect the influencing factor information at different stages as corresponding review data points. S2: Store the influencing factor information at different stages in all existing implemented business processes in a big data storage unit. S3: Input the influencing factor information in all implemented business processes into the corresponding optimization algorithm for calculation to obtain the best business path as the optimal option for subsequent operations.
[0020] Adopting the above technical solution: The above solution provides a review and supervision management method that can implement the review of various operations in the entire process of the supply chain, including: the business data of suppliers, distributors, storage providers, and retailers. Through the optimization algorithm, the best business path is calculated as the optimal option for subsequent operations.
[0021] A processing device includes: a processor, a memory, and a program. Among them, the program is stored in the memory and executed by the processor, and the program includes a system for executing any one of the above.
[0022] A storage medium stores a computer program, and is characterized in that the computer program is executed by the processor to implement any one of the above methods. BRIEF DESCRIPTION OF THE DRAWINGS
[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for use in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.
[0024] Figure 1 It is a connection block diagram of the supply chain review and supervision management system of the present application; Figure 2 It is a flow chart of the supply chain review and supervision management method of the present application.
[0025] In the figure: 1. Data acquisition and monitoring unit; 2. Big data storage unit; 3. Optimization review unit; 4. Supplier optimization review module; 5. Distributor optimization review module; 6. Storage provider optimization review module; 7. Retailer optimization review module; 8. Customer evaluation influencing factor acquisition unit. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0026] In the following description, specific details such as specific system architectures and technologies are presented for purposes of illustration rather than limitation, in order to provide a thorough understanding of the embodiments of the present application. However, those skilled in the art should understand that the present application can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from obscuring the description of the present application.
[0027] It should be understood that when used in the specification of the present application and the appended claims, the term "comprising" indicates the presence of the described features, wholes, steps, operations, elements, and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.
[0028] Please refer to Figure 1 - Figure 2 , like the original supply chain process, there is no systematic review system, and it is impossible to effectively evaluate the various operations in the entire supply chain process. Blindly selecting corresponding suppliers is likely to result in the inability to obtain good services despite the corresponding capital expenditure. Based on the above problems, the embodiments of the present application disclose a supply chain review and supervision management system, including: Data acquisition and monitoring unit 1: Collect various influencing factor information at different stages of the supply chain, and collect the influencing factor information at different stages as corresponding review data points; the influencing factor information includes various influencing factors for realizing operations, such as delivery time, delivery quality, and product price during the process of docking with suppliers, etc. Big data storage unit 2: Store the influencing factor information at different stages in all implemented business processes in the big data storage unit; the design of the big data storage unit can record the relevant data of the past supply chain, and perform analysis and evaluation based on past relevant transactions to calculate an optimal business path as an option for subsequent business selection.
[0029] Optimization review unit 3: Used to input the influencing factor information in all implemented business processes into the corresponding optimization algorithm for calculation to obtain the best business path as the optimal option for subsequent business. It is worth mentioning that the chain review and supervision management system provided in the above solution can obtain the business data of different stages of the supply chain in real time through the data acquisition and monitoring unit, including suppliers, distributors, storage providers, and retailers, store it in the big data storage unit, and review the different business data at each stage through the optimization review unit to optimize different types of businesses, ultimately achieving perfect supply chain services and reducing waste of funds.
[0030] The optimization review unit includes: Supplier Optimization Review Unit 4: It is used to obtain the impact factor information of the business processes implemented by the supplier, and perform optimization algorithm calculations on the review data points corresponding to the optimization information to obtain the optimal supplier business approach; Distributor Optimization Review Unit 5: It is used to obtain the impact factor information of the business processes implemented by the distributor, and perform optimization algorithm calculations on the review data points corresponding to the optimization information to obtain the optimal distributor business approach; Storage Provider Optimization Review Unit 6: It is used to obtain the impact factor information of the business processes implemented by the storage provider, and perform optimization algorithm calculations on the review data points corresponding to the optimization information to obtain the optimal storage business approach; Seller Optimization Review Unit 7: It is used to obtain the impact factor information of the business processes implemented by the seller, and perform optimization algorithm calculations on the review data points corresponding to the optimization information to obtain the optimal seller business approach.
[0031] The above solution can obtain business data from four aspects, including suppliers, distributors, storage providers, and sellers, and perform corresponding optimization calculations to optimize different business directions of the supply chain, reduce expenses, and obtain more perfect services.
[0032] It also includes: Customer Evaluation Impact Factor Collection Unit 8: It is used to collect the impact factor information of customer evaluations at different stages of the supply chain and convert it into corresponding review data points.
[0033] The algorithm formula set in the Supplier Optimization Review Unit is: ; , where is the total review data point of the supplier, is the delivery time review coefficient, is the delivery time impact coefficient, is the proportion of delivery time in the total evaluation data points of the supplier, is the product quality review coefficient, is the product quality impact coefficient, is the proportion of product quality in the total evaluation data points of the supplier, is the price review coefficient, is the product price impact coefficient, is the proportion of product price in the total evaluation data points of the supplier, is the customer evaluation review coefficient, is the supplier customer evaluation impact coefficient, is the proportion of customer evaluation in the total evaluation data points of the supplier, For the th business, is the number of businesses; Set the delivery time for the goods, is the actual delivery time of the goods, Delivery time conversion coefficient, For the th delivered goods, m is the number of goods transactions. Through the corresponding algorithm, the above solution can calculate various impact data of the supplier, including four aspects: delivery time, product quality, price, and customer evaluation, and further calculate according to the proportion of each aspect to obtain the final overall evaluation data point of the supplier, and select the business with the best overall evaluation data point as the option for subsequent business.
[0034] Through the system algorithm, the above solution can digitally calculate various data of the supplier, and based on the calculation results, it can effectively evaluate different suppliers and select more suitable suppliers.
[0035] Further preferably, the algorithm formula set in the distributor optimization review unit is: ; Among them, M is the overall review data point of the distributor, is the distribution speed review coefficient, is the distribution speed impact coefficient, is the proportion of the distribution speed in the overall evaluation data point of the distributor, is the commodity storage quality review coefficient, is the commodity storage quality impact coefficient, is the proportion of the commodity storage quality in the overall evaluation data point of the distributor, is the customer evaluation review coefficient, is the distributor customer evaluation impact coefficient, is the proportion of the customer evaluation in the overall evaluation data point of the distributor, For the th business, is the number of businesses. Through the corresponding algorithm, the above solution can calculate various impact data of the distributor, including three aspects: distribution speed, commodity storage quality, and customer evaluation, and further calculate according to the proportion of each aspect to obtain the final overall evaluation data point of the distributor, and select the business with the best overall evaluation data point as the option for subsequent business.
[0036] Further preferably, the algorithm formula set in the storage provider optimization review unit is: ; Among them, Z is the total review data point of the storage provider, is the review coefficient of the storage integrity rate of the storage provider, is the influence coefficient of the storage integrity rate, is the proportion of the storage integrity rate in the total review data points of the storage provider, is the price coefficient of the storage provider, is the influence coefficient of the storage price, is the proportion of the storage price in the total review data points of the storage provider, is the review coefficient of the customer evaluation, is the influence coefficient of the customer evaluation, is the proportion of the customer evaluation in the total review data points of the storage provider; is the th business, is the number of businesses.
[0037] Through the corresponding algorithm, the above solution can calculate the various influencing data of the storage provider, including three aspects: storage integrity rate, storage provider price, and customer evaluation, and further calculate according to the proportion of each aspect to obtain the final total review data point of the storage provider, and select the business with the best total review data point as the option for the subsequent business.
[0038] Through the system algorithm, the above solution can digitally calculate the various data of the storage provider, and based on the calculation results, it can effectively evaluate different storage providers and select a more suitable storage provider.
[0039] Further preferably, the algorithm formula set in the optimization review unit of the seller is: ; Among them, Y is the total review data point of the seller, is the review coefficient of the business volume, is the influence coefficient of the business volume, is the proportion of the business volume in the optimization review unit of the seller, is the review coefficient of the sales efficiency, is the influence coefficient of the sales efficiency, is the proportion of the sales efficiency in the optimization review unit of the seller, is the review coefficient of the customer evaluation, is the influence coefficient of the customer evaluation, is the proportion of the customer evaluation in the optimization review unit of the seller, is the th business, is the number of businesses.
[0040] Through the corresponding algorithm, the above solution can calculate various influencing data of the distributor, including business volume, sales efficiency, and customer evaluation, and further calculate according to the proportion of each aspect to obtain the final overall evaluation data point of the distributor, and select the business with the best overall evaluation data point as the option for subsequent business.
[0041] Through the system algorithm, the above solution can digitally calculate the data of each distributor, and based on the calculation results, an effective evaluation of different distributors can be achieved to select a more suitable distributor.
[0042] A supply chain review and supervision management method is applied to a supply chain review and supervision management system as described in any one of the above. It is characterized by including: S1: Collect various influencing factor information at different stages of the supply chain, and collect the influencing factor information at different stages as corresponding review data points. S2: Store the influencing factor information at different stages in all existing implemented business processes in the big data storage unit. S3: Input the influencing factor information in all implemented business processes into the corresponding optimization algorithm for calculation to obtain the best business approach as the optimal option for subsequent business.
[0043] Adopting the above technical solution: The above solution provides a review and supervision management method that can review all business processes of the supply chain, including the business data of suppliers, distributors, storage providers, and distributors. Through the optimization algorithm, the best business approach is calculated as the optimal option for subsequent business.
[0044] A processing device includes: a processor, a memory, and a program. Among them, the program is stored in the memory and executed by the processor, and the program includes a system for executing any one of the above.
[0045] A storage medium stores a computer program, and is characterized in that the computer program is executed by the processor to perform the method described in any one of the above.
[0046] In the above embodiments, the device components involved, unless otherwise specified, are all conventional device components, and the connection methods and control methods involved, unless otherwise specified, are all conventional connection methods and control methods.
[0047] The present invention has been described in detail in connection with the embodiments above. However, those skilled in the art can understand that, without departing from the gist of the present invention, various specific parameters in the above embodiments can be changed to form multiple specific embodiments, which are all within the common variation range of the present invention and will not be elaborated herein one by one.
Claims
1. A supply chain review supervision and management system, characterized in that: include: Data collection and monitoring unit: collects information on various influencing factors at different stages of the supply chain, and collects the influencing factor information at different stages as corresponding review data points; Big data storage unit: store the influencing factor information of different stages of all existing business processes implemented in the big data storage unit; Optimization review unit: used to input the influencing factor information of all implemented business processes into the corresponding optimization algorithm for calculation, and obtain the best business approach as the optimal option for subsequent business.
2. A supply chain review supervision and management system, characterized in that: The optimization review unit includes: Supplier optimization review module: used to analyze the influencing factor information of the supplier's existing business processes, and perform optimization algorithm calculations on the review data points corresponding to the optimization information to obtain the optimal supplier business path; Distributor optimization review module: used to analyze the influencing factor information of the existing business processes implemented by the distributor, and perform optimization algorithm calculation on the review data points corresponding to the optimization information to obtain the optimal business path for the distributor; Storage business optimization review module: used to analyze the influencing factor information of the storage business processes currently implemented, and to perform optimization algorithm calculations on the review data points corresponding to the optimization information to obtain the optimal storage business approach; Sales optimization review module: used to analyze the influencing factor information of the salesperson's existing business processes, and to perform optimization algorithm calculations on the review data points corresponding to the optimization information to obtain the optimal sales business approach.
3. A supply chain review supervision and management system according to claim 2, characterized in that: Also includes: Customer evaluation influencing factor collection unit: used to collect information on influencing factors of customer evaluation at different stages of the supply chain and convert them into corresponding review data points.
4. A supply chain review supervision and management system according to claim 2, characterized in that: The algorithm formula set in the supplier optimization review unit is: ； ， in, This is the supplier's overall review data point. is the delivery time review coefficient, is the delivery time impact coefficient, is the proportion of delivery time in the supplier's overall rating data points, is the product quality review coefficient, is the product quality influence coefficient, is the proportion of product quality in the supplier's overall evaluation data points, is the price review coefficient, is the product price impact coefficient, is the proportion of product price in the supplier's total evaluation data points, Evaluation coefficient for customers, Evaluate the impact coefficient for suppliers and customers. The proportion of customer evaluation in the supplier's total evaluation data points. For the Item business, is the number of businesses; Set a delivery time for the goods, The actual delivery time of the goods. Delivery time conversion factor, For the Items are delivered, and m is the number of goods transactions.
5. A supply chain review supervision and management system according to claim 2, characterized in that: The algorithm formula set in the distribution provider optimization review unit is: ； Among them, M is the total evaluation data point of the distributor, is the delivery speed evaluation coefficient, is the delivery speed impact coefficient, The proportion of delivery speed in the overall evaluation data points of the delivery provider. To preserve the quality evaluation coefficient of the product, is the product preservation quality influence coefficient, It is the proportion of product storage quality in the total evaluation data points of the distributor. Evaluation coefficient for customers, The impact coefficient of customer evaluation for the distributor, The proportion of customer reviews in the total review data points of the distributor. For the Item business, The number of businesses.
6. A supply chain review supervision management system according to claim 1, characterized in that: The algorithm formula set in the storage optimization review unit is: ； Among them, Z is the total review data point of the storage provider, It is the storage integrity rate evaluation coefficient of the storage provider. is the storage integrity rate influence coefficient, The percentage of storage integrity rate in the total evaluation data points of the storage provider. is the storage price coefficient, is the storage price impact coefficient, is the proportion of storage price in the total rating data points of the storage provider, Evaluation coefficient for customers, Evaluate the impact coefficient for customers, It is the proportion of customer reviews in the total review data points of the storage provider; For the Item business, The number of businesses.
7. A supply chain review supervision management system according to claim 1, characterized in that: The algorithm formula set in the seller optimization review unit is: ； Among them, Y is the seller's overall evaluation data point, is the business volume review coefficient, is the business volume impact coefficient, The proportion of business volume in the seller optimization review unit, is the sales efficiency evaluation coefficient, is the sales efficiency impact coefficient, The proportion of sales efficiency in the sales optimization review unit, Evaluation coefficient for customers, Evaluate the impact coefficient for customers, To optimize the proportion of customer reviews in the seller's review unit, For the Item business, The number of businesses.
8. A supply chain review supervision and management method, applied to a supply chain review supervision and management system as claimed in any one of claims 1 to 7, characterized in that: include: S1: Collect information on various influencing factors at different stages of the supply chain, and collect the influencing factor information at different stages as corresponding review data points; S2: storing the influencing factor information of different stages of all existing implemented business processes in a big data storage unit; S3: Input the influencing factor information of all implemented business processes into the corresponding optimization algorithm for calculation to obtain the best business path as the optimal option for subsequent business.
9. A processing device, characterized in that: include: A processor, a memory, and a program, wherein the program is stored in the memory and executed by the processor, and the program includes a system for executing any one of claims 1 to 7.
10. A storage medium having a computer program stored thereon, characterized in that: The computer program is used by a processor to execute the method according to any one of claims 1 to 7.