Research On Key Issues In The Automotive Supply Chain System Based On Multi-Agent System

Automotive supply chain system, whether it is the supply phase, manufacturing or distribution process is part of an ever changing complex process that requires many enterprise collaboration in the automotive supply chain system, eventually forming a large automotive supply chain. In the automotive supply chain system, the vehicle manufacturers in order to get the appropriate resources to complete the production process to meet the needs of the market, is largely dependent on the other members of the enterprise supply chain, such as suppliers, third-party logistics service providers, distributors, and other enterprises, the large number of upstream and downstream businesses, the degree of cooperation between member enterprises complexity incrementally as they are closely linked.This article aims to address the key issues of the automotive supply chain system based on Multi-Agent, specifically includes three aspects: how to deal with the volatility in the automotive supply chain, order-driven business processes and trust mechanism in the automotive supply chain system. Although the development of supply chain management concepts and technologies to enhance the flexibility of the supply chain system, but variability exists in the automotive supply chain system objectively. Constantly changing the structure of the supply chain system parts suppliers, distributors and customers demand, resulting in a certain part of the supply chain system is difficult for enterprises to adapt to this change, thereby bringing operational and management issues, its impact throughout the automotive supply chain system the entire operation process. If it can't be responded properly, it will reduce the operational efficiency and effectiveness of the automotive supply chain system. Order-driven business processes in the automotive supply chain system based on Multi-Agent is mainly the introduction of Multi-Agent technology in the automotive supply chain system, from multiple independent Agent in the system, composed Multi-Agent systems with specific functions, described collaboration of each member companies in the automotive supply chain system for the job Agent's behavior, through the interaction between the Agent to express the function of the automotive supply chain system, achieve the target in the automotive supply chain system, analyze the model to optimize business processes in three areas: business processes, information transfer, co-operation. Trust mechanism on the automotive supply chain system based on Multi-Agent is mainly analysis trust factor and study the relationship of trust, to build a trust-based automotive supply chain model based on Multi-Agent, analysis every Agent in this model proposed supply chain trust policy, to increase trust between the enterprise in the automotive supply chain system, reduce the impact of volatility on the system and analyze its trends.This article is mainly for volatility in the automotive supply chain system, study and analyze the dynamic behavior and the trust mechanism in the automotive supply chain based on Multi-Agent technology has some theoretical research value. In addition, which has a certain reference value for the actual application of information technology in the automotive supply chain system.