| Summary: | 碩士 === 國立臺灣科技大學 === 工業管理系 === 96 === The subject of this study is a comparison of order picking, storage, and routing policies in manual order picking system. We simulate the real order picking process in warehouse by Flexsim software, and select different picking policies in order to get different picking time. We use picking time to calculate the cost reduction of used policies. If the picking time is larger, the cost reduction must be lower, and the performance of used policies is also worse. Oppositely, if the picking time is lower, and the performance of used policies must be better. Then the used policies are suitable for the warehouse.
The picking policies we used include batching, routing, and storage policies. The number of levels of these policies is from three to ten. Number of batch size is also a factor that may affect the picking time. Hence we change number of batch size and the three picking policies for finding the best combination. When number of batch size is small, Class-based storage policy and Midpoint routing policy perform lowest picking time. When number of batch size is larger than forty, Random storage policy and Traversal routing policy would be the best policies.
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