SIMULATION MODELING AND PARAMETER OPTIMIZATION IN CYCLIC PICKING SYSTEM
Picking efficiency critically depends on the use of appropriate picking strategy and facility parameter of picking system. The purpose of this paper is thus to propose a cycling transport picking strategy and methods of optimization of system parameters. As there are many random factors in picking system, so it is not suitable to adopt mathematical method to solve it. In this paper, based on the cycling transport strategy, computer simulation is first employed to build the model of picking system. Then factorial DOE (design of experiments) analysis is used to determine which facility parameter has a statistically significant effect on the picking efficiency. At last it applied optimization analysis which base on evolution strategy determine the best set of facility parameter. This paper also included analysis of picking system in distribution center that examined the significant effect of this method.
Cycling transport picking Simulation Design of experiment Parameter optimization AutoMod
Wang Aijuan Lu Xiaochun
School of Economics and Management Beijing, Jiaotong University No.3 Shang Yuan Cun, Hai Dian District, Beijing, China
国际会议
13th International Conference on Enterprise Information System(第13届企业信息系统国际会议 ICEIS 2011)
北京
英文
1258-1262
2011-06-08（万方平台首次上网日期，不代表论文的发表时间）