Research On Multi-Agent System Supply Chain Optimization Method

Under the background of economic globalization and Information Network Era,customer demand was becoming more and more diversified and personalized.With the rapid development of information technology,the life of product was getting shorter and shorter.At the same time,enterprises were facing more challenges and pressures.How to shorten the delivery period of the product,how to reduce the total cost of the enterprise,how to increase the use of the product cycle,how to deal with the specific needs of manufacturers and customers,and so on.In this case,enterprises should be fast and accurate insight into the market information and improve the competitiveness of their own enterprises.This requires each enterprise to optimize the supply chain efficiency,maintain its leading position in their respective areas.Therefore,how to use modern information technology to optimize the supply chain reasonably and effectively is a great practical significance and theoretical value.Firstly,the paper introduces the related theory of supply chain and multi agent and the research status at home and abroad,and illustrates the mapping relationship between supply chain system and Multi-Agent system model.Based on the mapping relationship,the three layer model of supply chain system based on Multi-Agent System was constructed,and then,the operation process of each Agent in each model was analyzed.Secondly,we analyzes the research status of multi objective optimization of supply chain and points out the limitations of the current research,the mathematical model of multi-objective optimization of supply chain with cost,time and flexibility as the goal was established.Finally,we use the ant colony algorithm to optimize the case,combined with the three tier supply chain model of the supply chain level specific model and the specific model of the workshop.Results,the effectiveness of the ant colony algorithm is proved.