基於揀貨路徑策略之訂單批次化問題探討

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Title:	基於揀貨路徑策略之訂單批次化問題探討
Authors:	方詠傑;Fang, Yung-Chieh
Contributors:	工業管理研究所
Keywords:	物流中心;揀貨路徑;訂單批次化;Distribution Centre;Order Picking Route;Order Batching
Date:	2021-07-28
Issue Date:	2021-12-07 11:13:58 (UTC+8)
Publisher:	國立中央大學
Abstract:	近年來，網路的蓬勃發展帶動了電子商務市場的崛起，消費者透過網路購物愈來愈普遍，電子商務公司間的競爭也日趨激烈。研究指出電子商務的成功因素有許多，其中之一就是完善的物流服務，消費者對虛擬通路所能提供物流服務的滿意度終將影響其營運績效。沒有良好的物流服務，使產品交付給消費者的期限大大延遲，網路電商是無法獲得消費者的肯定的。做好物流工作有效地降低營運成本，並滿足顧客要求，提高顧客服務水準，是企業迎向二十一世紀如此爆炸性的消費時代永續經營的關鍵要素。然而物流中心的種種內部作業中，揀貨作業是一種屬於勞力密集且相當耗費成本的活動，揀貨作業的時間佔整體物流作業時間比例大約30~40%。在成本方面，揀貨的人工作業成本佔了物流中心總成本15~20%，而物流中心的揀貨作業則佔了總作業成本約達55%。因此，具備完善的揀貨作業流程，對於物流中心整體運作效率之提升將有決定性之影響。本研究主要探討物流中心訂單批次化揀取作業的方法，基於4種揀貨路徑提出?同訂單相似係?並以群聚方法進行訂單批次化揀貨，?用揀貨??距?績效指標，比較不同揀貨路徑策略下訂單批次化方法之績效。另外，本文將與過往研究所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，以供實體揀貨中心的揀貨參考依據。並期望能實際應用到現實倉儲環境中，提升揀貨作業之效率。 ;In recent years, the prosperous development of the Internet has led to the rise of the e-commerce market. It has become more common for consumers to shop online, and competition among e-commerce companies has become increasingly fierce. Research indicates that there are many factors for the success of e-commerce, one of which is complete logistics services. Consumers’ satisfaction with the logistics services provided by virtual shop will finally affect their operational performance. Without good logistics services, the deadline for the delivery of products to consumers is greatly delayed, and online e-commerce companies cannot earn recognition for consumers. Doing a good job in logistics effectively reduces operating costs, satisfies customer requirements, and improves customer service levels. It is the key element for the sustainable operation of enterprises in modern society. However, among the various internal operations of the Distribution Centre, picking operation is a labor-intensive and cost-intensive activity. The time of picking operation accounts for about 30-40% of the overall logistics operation time. In terms of cost, the labor cost of picking accounts for 15-20% of the total cost of the Distribution Centre, while the picking operations of the Distribution Centre account for about 55% of the total cost of operations. Therefore, having a complete picking operation process will have a decisive impact on the improvement of the overall operational efficiency of the Distribution Centre. 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. In addition, this research will compare with the order batching method proposed by previous researches, and put forward suggestions for future research methods, for the Distribution Centre’s picking reference basis. It is also expected to be practically applied to the real-life warehousing environment to improve the efficiency of picking operations.
Appears in Collections:	[Graduate Institute of Industrial Management] Electronic Thesis & Dissertation

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