| Summary: | 碩士 === 國立高雄第一科技大學 === 運輸倉儲營運所 === 92 === Order picking is one of the most critical operations to meet customers’ requirements in warehousing and supply chain management operations. The objective of the research is to investigate the impacts of different order picking policies on picking performances under different order patterns through simulation. Experiments are designed according to three dimensions - order patterns, picking routing policies, and location assignment rules. The performance of different models are compared with respect to three measures – total picking time, average picking time, and congestion ratios.
The results are summarized as follows. Under the assumption of fixed picking volume, total picking times will be reduced when orders have obvious ABC pattern. When orders are concentrated to a few customers, total picking times will be reduced but congestion ratios will be increased, so will be average picking times. For picking routing policies, picking performance will differ according to picking patterns and location assignment rules under transversal and largest-gap policies. For location assignment rules, performance will be significantly improved when appropriate rules other than random one are applied. When number of picking personnel is increased, total picking time will be reduced but average picking time will be increased due to higher congestion ratio. The situation gets more serious under transversal or largest-gap picking routing policies. Storage policies affect performances in different ways, mainly by congestion ratios.
Finally, it is found that the “best” order picking policy (combination) will differ with respect to different performance measures under different order patterns.
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