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Agent distribution decision and inventory management optimization system based on GA-BP algorithm

A GA-BP, inventory management technology, applied in the field of commodity inventory management, can solve the problems that suppliers and agents cannot share fairly, cannot make reasonable production or sales plans, and share the supply chain fairly, so as to optimize enterprise inventory. The effect of improving management ability, improving logistics service level, and improving warehouse management ability

Pending Publication Date: 2022-07-05
深圳市网睿科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to solve the problem that suppliers and agents in the prior art cannot fairly share relevant information on the supply chain, and each node enterprise on the supply chain cannot share the information on the supply chain on time, quickly and fairly, thus making it impossible to To solve the problem of reasonable production or sales plan, the agency distribution decision and inventory management optimization system based on GA-BP algorithm is proposed

Method used

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  • Agent distribution decision and inventory management optimization system based on GA-BP algorithm
  • Agent distribution decision and inventory management optimization system based on GA-BP algorithm
  • Agent distribution decision and inventory management optimization system based on GA-BP algorithm

Examples

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Effect test

Embodiment 1

[0042] refer to figure 1 , an agent distribution decision-making and inventory management optimization system based on GA-BP algorithm, including data acquisition system, data management system and data application system, the output end of the data acquisition system is connected with the input end of the data management system, and the output end of the data management system Connect with the input end of the data application system;

[0043] The data collection system includes supplier data collection module and CPFR supply chain management module, the data management system includes order management, production management and GA-BP algorithm distribution decision, and the data application system includes agent distribution plan and customer distribution plan;

[0044] The output end of the supplier data acquisition module is connected to the input end of the CPFR supply chain management module. The output end of the CPFR supply chain management module is connected to the i...

Embodiment 2

[0049] It has the implementation content of the above-mentioned embodiment, wherein, for the specific implementation of the above-mentioned embodiment, reference may be made to the above-mentioned description, and the embodiment here will not be repeated in detail; and in the embodiment of the present application, the difference between it and the above-mentioned embodiment is :

[0050] In this embodiment, CPFR means coordinated planning, forecasting and replenishment. The essence is coordination and cooperation. Through the inventory management of collaborative planning, forecasting and replenishment, each node enterprise can obtain more accurate market demand information through the electronic information platform, so that the enterprise can better predict the demand and control the inventory. manage.

[0051] In this embodiment, based on the deep collaboration (CPFR) solution with the upstream and downstream of the supply chain, this requires the e-commerce platform to st...

Embodiment 3

[0061] It has the implementation content of the above-mentioned embodiment, wherein, for the specific implementation of the above-mentioned embodiment, reference may be made to the above-mentioned description, and the embodiment here will not be repeated in detail; and in the embodiment of the present application, the difference between it and the above-mentioned embodiment is :

[0062] refer to figure 2 , GA-BP algorithm is used to optimize the initial weights of the BP neural network by using the GA genetic algorithm in the distribution decision. The algorithm process of the GA genetic algorithm to optimize the initial weights of the BP neural network includes the following steps:

[0063] Step 1: First, use the neural network to determine the connection weight between the network topology and the thresholds of each node as the parameters of the genetic algorithm, using the real number coding method, so assume that the number of nodes in the input layer is p, the number of...

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Abstract

The invention discloses an agent distribution decision and inventory management optimization system based on a GA-BP algorithm, which fundamentally realizes fair sharing of related information on a supply chain by suppliers, agents and the like by establishing a CPFR supply chain management mode. Each node enterprise on the supply chain timely, quickly and fairly shares the information on the supply chain, and negotiates according to the own capability and the advocated information to make a reasonable production or sales plan. According to the method, the weights are optimized through the genetic algorithm (GA), the obtained weights are applied to the BP network for training, falling into a local optimal solution is effectively avoided, various factors influencing the safety stock are known in detail through specific analysis of the enterprise raw material safety stock, the characteristics of the enterprise raw material stock are combined, a good prediction effect is achieved, and the method is suitable for popularization and application. The bad situation in the aspect of enterprise inventory management is improved, and the profit of the enterprise is expanded.

Description

technical field [0001] The invention relates to the technical field of commodity inventory management, in particular to an agent distribution decision-making and inventory management optimization system based on a GA-BP algorithm. Background technique [0002] With the increasingly fierce competition in the global market, the traditional production and operation model has been difficult to meet the needs of the market. Supplier agency distribution decision and large-scale inventory management have been widely used and developed rapidly in the environment of fierce market competition. In addition, because the agent distribution decision and large-scale inventory management are often distributed in many places in the actual inventory management, the enterprise needs to carry out centralized management of the distributed and stored inventory. [0003] The main strategy of agent distribution decision and large-scale inventory management is to realize the mutual sharing of real-...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/08G06N3/04G06N3/12
CPCG06Q10/087G06N3/126G06N3/04
Inventor 李宇飞李玉秀
Owner 深圳市网睿科技有限公司
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