同時考量儲存與路徑策略之績效研究; The performance of distribution center by considering the storage policies and the routing policies

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题名:	同時考量儲存與路徑策略之績效研究;The performance of distribution center by considering the storage policies and the routing policies
作者:	郭宛棻;Wan-Fen Kuo
贡献者:	工業管理研究所
关键词:	物流中心;路徑策略;儲位策略;揀貨;Order Picking;Distribution Center;Routing Policy;Storage Policy
日期:	2008-06-20
上传时间:	2009-09-22 14:18:44 (UTC+8)
出版者:	國立中央大學圖書館
摘要:	二十一世紀為企業無國界的時代，產業的全球化、供應鏈管理觀念的興起，加上網際網路的應用及電子商務的推波助瀾，使得居於其中的物流業者扮演了更重要的整合角色。在傳統物流中心內，揀貨作業所花費的時間佔了整個物流時間的30%至40%左右。因此，揀貨作業是物流中心整體營運績效好壞的指標作業。而品項擺放位置的規劃與揀貨員行走路徑方式都跟揀貨作業的效率有很大之關聯性。透過良好的儲位設計與選擇適當的路徑策略，將有助於提升揀貨效率，進而增進企業體之獲利。本研究乃探討物流中心揀貨作業效率化問題，由於各物流中心採用不同的路徑策略，為了瞭解不同的儲存策略作為搭配時，是否可有效減少揀貨員之行走距離，故本研究將著重於路徑策略與儲存策略兩因子作為主要探討因子。同時分析倉庫長寬比例、訂單大小、需求法則等因子是否會對路徑與儲存策略之搭配有所影響。吾人利用Visual Basic 6.0撰寫模擬程式，進行不同策略組合之下的實驗分析，對系統模擬產生出的實驗數據以Microsoft Excel作輸出整理，並透過統計套裝軟體SPSS 13.0作一比較分析。研究結果顯示，不同的路徑策略在搭配特定的儲存策略下將獲得較佳績效表現，而且不同因子將對儲存與路徑搭配組合有所影響。 21 century is the age of borderless for enterprise due to global industry, supply chain management development, Internet application, and E-Commerce growing up. Order picking constitute 30% ~ 40% of the total logistic time for a typical warehouse. So order picking is the critical index of distribution centers’ performance. Planning items’ location and routing policies have large relationship for the order picking efficiency. By appropriate storage location planning and fit routing policy selecting will benefit for the efficiency raising and improve the profit for the enterprise. In the research we will treat the efficiency problem about the order picking operation in the distribution centers. Because different distribution centers adopt diverse routing policies, we wonder whether different storage policies match the routing policies able to reduce the traveling distance effectively. According to aforementioned reason the study will focus on the routing policies and storage policies factors as the critical factors. In the meantime we also analyze the warehouse’s ration of length and wide, the size of order list, and demand rule factors weather will effect the collation of the routing policy and storage policy. In the study, we make use of Visual Basic 6.0 coding the simulation and then use statistical package SPSS 13.0 analyze and compare the variable combination experience outcomes. By the research results, when particular routing policy match specific storage policy gaining better performance. And variant factors will effect the combination of the routing policy and storage policy.
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