物流中心的所有內部作業中，揀貨作業是一種屬於勞力密集且成本相當高的部分，揀貨所需的時間佔整體作業時間比例大約35~45%。在成本方面，揀貨所需的人工成本佔了物流業總成本20~25%，而物流中心的揀貨作業則佔了總成本約達50%。因此，如何建立有效的揀貨流程，以最大化的降低揀貨作業的成本，對於物流業者整體營運效率之提升將有重大的影響。 本研究主要探討物流倉庫訂單批次化揀取作業的方法，基於4種揀貨路徑提出不同訂單相似係數並以群聚方法進行訂單批次化揀貨，利用揀貨總行走距離為績效指標，比較不同揀貨路徑策略下訂單批次化方法的績效，找出在不同儲位設計下最佳的批次化方法。另外，本文將與過往研究提出的批次化揀貨法則做比較，並提出對未來研究方法的建議，以供實際揀貨業者的揀貨作為參考依據。並期望能對實際現實倉儲環境有很大的幫助，提升揀貨作業之效率。;Among all the internal operations of a logistics center, picking is a labor-intensive and costly part, and the time required for picking accounts for about 35-45% of the overall operating time. In terms of cost, the labor cost required for picking accounts for 20-25% of the total cost of the logistics industry, while the picking operation in the logistics center accounts for about 50% of the total cost. Therefore, how to establish an effective picking process to minimize the cost of picking operations will have a significant impact on the overall operational efficiency of logistics operators. This research mainly discusses the method of order batching operations in Distribution Centre. Based on four picking policies, different order similarity coefficients are proposed, and clustering method is used for order batching. Use the Total Travel Distance of Pickers（TTD）to evaluate the performance of order batching methods under different picking policies, find out the best batching method for different storage location designs. In addition, this paper will compare with the batch picking rules proposed in previous studies, and propose suggestions for future research methods, which can be used as a reference for actual picking operators. It is expected that it will be of great help to the actual warehouse environment and improve the efficiency of picking operations.
