Optimization for Supply Chain Configuration Design
The design of a supply chain network as an integrated system with several tiers of suppliers is a difficult task.It consists of making strategic decisions on the facility location, stocking location, production policy,production capacity, distribution and transportation modes. This research develops a hybrid optimization approach to address the Supply Chain Configuration Design problem. The new approach combines simulation, mixed integer programming and Particle Swarm Optimization (PSO). The PSO provides a mechanism to optimize qualitative and policy variables.The mixed integer-programming model reduces computing efforts by manipulating quantitative variables. Finally simulation is used to evaluate performance of each supply chain configuration with non-linear, complex relationships and under more realistic assumptions. The approach is designed to be robust and could handle the large scale of the real world problems.
Supply China Management Optimization Mixed Integer Program Genetic Algorithm
Lihong Yuan
School of Information Technology, Southern Yangtze University, No.1800, Lihudadao, Wuxi, Jiangsu, China 214122
国际会议
杭州
英文
954-957
2006-10-12(万方平台首次上网日期,不代表论文的发表时间)