关键词: 多智能体, 轿车供应链, 复杂自适应系统, 演化规律

Abstract: To explore the evolution of car supply chain system,a multi-agent modeling method was used to simulate and analyze data from the perspective of a complex adaptive system.The Agent behavior characteristics and overall structure of car supply chain were researched,and a four-layered supply chain complex system model with manufacturers as the core was established on AnyLogic7 platform.The simulation for nonlinear characteristic and evolution rules of a car supply chain was analyzed.The research showed that the system exhibited the typical characteristics of a complex adaptive system with chaotic motion;its evolution experienced formation,growth and maturity over three stages,and the focuses for supply chain point of different stages were also different.This research had  practical guiding significance for supply chain management.

Key words: multi-Agent, car supply chain, complex adaptive system, evolution rule