數位化浪潮與消費型態逐漸改變，快速的物流便是影響供應鏈的關鍵因素，而配銷中心更是在供應鏈中扮演重要的角色，本研究之研究對象為安全帽公司之配銷中心，為利用數位系統取代耗時費力地人工與紙本作業，以提高出貨效率，針對影響倉儲效率最高之活動，即揀貨作業進行探討，本研究透過訂單指派來減少揀貨時間與達到揀貨的工作負荷平衡，因案例的訂單特性為少量多樣的型態，能夠藉由訂單指派或訂單分批來達到效率，因此針對訂單指派設計一套符合研究案例的兩階段訂單指派規則，並且以互動式網頁建立數位揀貨系統協助人工揀貨，以解決企業資源規劃系統(Enterprise Resource Planning, ERP)無法靈活輔助現場活動之缺陷，與縮短倉儲管理系統(Warehouse Management Systems, WMS)整套模組導入時的過度期。本研究建立的數位揀貨系統提供指派訂單的管理者與實際進行揀貨作業的揀貨員使用，該系統直接與ERP之銷貨資料進行即時連結，提升資源利用率與數位化比例。
本研究提出的兩階段訂單指派規則於第一階段考量出貨便利性與揀貨員工作負荷平衡，將訂單指派給揀貨員；每位揀貨員各自取得訂單後，於第二階段進行訂單批次處理，透過考量三種因素的分批方法進行實驗與比較，分別為先到先處理分批法(First-come-first-serve (FCFS) Order Batching Policy)、最先遞減策略(First-fit-decreasing (FFD) Policy)，以及儲位排序分批法(Storage Sorting (SS) Order Batching Policy)，揀貨員能夠掌握每次揀貨旅途需經過的儲位、揀取的項目與數量，以達到更高的效率與精確度。經過重複實驗得到結果，綜合考量下得出本研究的最佳分批策略為儲位排序分批法，其減少作業時間65.55%、提升人力指派平衡約35%，而其他兩策略相對於第一階段結果亦有不錯的改善。

In order to replace the time-consuming manual and paperwork with digital system to improve the efficiency of shipment, this study focuses on the activity that affects the most efficiency of warehousing, i.e., picking operation. In this study, order assignment is used to reduce picking time and achieve workload balance of order picking. To solve the shortcomings of Enterprise Resource Planning (ERP) that cannot flexibly assist the field activities and to reduce the transition period when the set of Warehouse Management Systems (WMS) modules are imported. The digital order picking system established in this study is used by the managers who assign orders and the pickers who pick the orders, and it is directly connected to the ERP sales data in real time to improve the resource utilization and degree of digitization.
The two-stage order assignment rule proposed in this study assigns orders to pickers in the first stage, considering shipping convenience and picker workload balance; after each picker gets the orders individually, order batching is performed in the second stage. The picker can master the storage location, the items, and the quantity to be picked for each picking journey to achieve higher efficiency and accuracy. After repeated experiments, the best order batching strategy in this study was the Storage Sorting (SS) Order Batching Policy, which reduced the operating time by 65.55% and improved the job assignment balance by 35%, while the other two strategies also showed good improvements compared to the first stage.

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