A Myopic Policy Based Simulation Optimization Framework in a General Decentralized Supply Chain

摘要：

Decentralized multi-echelon supply chains are often computationally intractable and difficult to analyze due to the complex network structure and various decision makings.This paper develops a simulation optimization framework for a general decentralized supply chain composed of sup-pliers,plants,distributors and customers.Each facility in the network is under local control and makes decisions based on a myopic policy.The simulation optimization framework is composed of an event simulator,an optimization engine,a system updater and a process controller.The simulation test bed can help the network facilities asymptotically optimize their decisions based on the feed-back during the simulation process,and evaluate the performance of each facility.

关键词： decentralized supply chain simulation optimization

作者: Minmin Qiu Hongwei Ding Jin Dong Wei Wang Changrui Ren

作者单位: IBM China Research Laboratory

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Service Operations and Logistics, and Informatics(IEEE/SOLI’2008)(IEEE服务运作、物流与信息年会)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-12（万方平台首次上网日期，不代表论文的发表时间）