Stochastic customer order scheduling using simulation-based genetic algorithm

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	Stochastic customer order scheduling using simulation-based genetic algorithm
	Xu, Xiaoyun ; Zhao, Yaping ; Li, Haidong ; Zhou, Zihuan ; Liu, Yanni
	2016
DOI	10.1109/WSC.2015.7408343
英文摘要	This study considers a dynamic customer order scheduling problem in a stochastic setting. Customer orders arrive at the service station dynamically and each consists of multiple product types with random workloads. Each order will be processed by a set of non-identical parallel servers. The objective is to determine the optimal workload assignment policy that minimizes the long-run expected order cycle time. A simulation-based genetic algorithm, named SimGA, is proposed to solve the problem, and a computable lower bound is developed for performance evaluation. Numerical experiments are reported to evaluate the performance of SimGA against two well-known simulation optimization methods. ? 2015 IEEE.; EI; 2317-2328; 2016-February
会议录	Winter Simulation Conference, WSC 2015
语种	英语
内容类型	会议论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/436297]
专题	工学院
推荐引用方式 GB/T 7714	Xu, Xiaoyun,Zhao, Yaping,Li, Haidong,et al. Stochastic customer order scheduling using simulation-based genetic algorithm[C]. 见:.