APPLYING ADAPTIVE MULTI-AGENT MODELING IN AGILE SUPPLY CHAIN SIMULATION

摘要：

An agile supply chain focuses on responding to unpredictable market changes and capitalizing on them through fast delivery and lead-time flexibility. It deploys new technologies, methods, tools, and techniques to solve unexpected problems. Recently, multi-agent technology is increasingly regarded as a good solution for supply chain management. This paper attempts to apply adaptive multi-agent modeling method to agile supply chain simulation,and illustrates the concrete modeling process with task allocation problem. A two-leveled reinforcement learning mechanism to improve the model is designed, and some related topics are also discussed in this paper.

关键词： Agile supply chain agent technology adaptive multi-agent modeling

作者: YAN LI JIAN-MIN ZHAO

作者单位: Department of Computer Science and Technology, Weifang University, Weifang 261061, China College of Information Science and Engineering, ZheJiang Normal University, JinHua 321004, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 4191-4196

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）