基于MAS的供应商选择系统分析与设计

Analysis and Design of Supplier Selection System Based on MAS

在总结了供应链管理及智能代理基本理论的基础上,通过与传统供应商筛选方法之间的对比,构建了基于MAS的企业供应商筛选系统模型,并研究了供应商选择中的协调问题。其次,重点研究了数据采集Agent、决策支持Agent、动态评价Agent的组成框架及工作内容,并在此基础上阐述了各部分的运作模型、供应链框架的运行机制及框架中供应商的地位。然后,为了提高系统的学习性、自适应性和智能性,实现供应商的自动筛选,采用了自组织数据挖掘结合遗传算法优化本系统的学习能力。

Based on a review of supply chain management and intelligent agent theory, this paper establishes a multi-agent technology as a tool for solving strategic selection of supply chain management.It also constructs a supply chain framework based on MAS.Secondly, emphasis has been put on the combination and work content of data-agents, dynamic forecast-agents and decision support-agents.Moreover the operation mechanisms of supply chain framework and vendor status of framework are also discussed.Furthermore, this paper makes use of data-mining technology and genetic algorithms to optimize system learning ability as well as strengthen the self-determination and sociality of the system to find the appropriate vendors.