目前台灣安全帽內銷與外銷值有明顯的成長趨勢，其中台灣安全帽製造業於2020年生產價值為新台幣186.2億元，與 2019年相比，年增率衰退5.92%，代表廠商的產品設計和製造能力越來越好，也因如此，外銷比例逐年提高，使得廠商必須不斷創新產品外，因應全球市場變化，同時必須不斷提升生產技術，有利於增加國際競爭力。
在現今的企業發展以及瞬息萬變的科技技術衝擊下，市場競爭日益激烈，產業面臨產業升級與提高產品價值問題，產業正面臨品質要好、交期短及在各項支出設法降低成本。此外，倉儲作業同樣面臨更多挑戰，使得現今倉儲必須已更快速的方式處理訂單，且即時因應顧客訂單需求，即便需面對更多少量多樣的訂單型態，處理更多的品項，因此，一個完善的倉儲規劃方案，必須能夠實現產品在倉儲內快速、準確的流動。
本研究將以安全帽倉儲管理為研究案例，案例公司的產品排列模式沒有指定規則，造成存放位置不定，尋找成品時間變長，並考量完成品倉庫的儲位規劃、儲位儲存容量、儲位原則為本研究主要探討的核心，因此，對揀貨路線、ABC分類策略、儲位佈置、增加走道四個因子，其設計不同水準分析，並運用建構模型搭配全因子實驗分析，分別依行走距離與揀貨時間兩項指標，經由模型結果分析出較為適當的揀貨策略組合，以最小化揀貨距離的最佳組合因子，此改善效益為72.15%；以最小化揀貨時間的最佳組合因子，此改善效益為74.51%，並提供建議因子策略組合作為改善倉儲的參考依據。

The quantity of domestic sales and exports of helmet has a significant increase in Taiwan. The total value of Taiwanese helmet manufacturing is NTD 186.2 billion in 2020, which decreased 5.92% compared with 2019’s. This means the ability of product design and manufacturing become improved and better. Moreover, because of the increased export, helmet manufacturers have to design innovative products and improve the production techniques at the same time, so that maintain their competitiveness worldwide.
In the turbulent and competitive market, the industry confronts the problems pertaining to upgrade and product value enhancement. Good quality, short delivery, and cost reduction are essential for the helmet manufacturers. On the other hand, the warehouse management is also facing many challenges. For instance, it is needed to promptly fulfill the requirement in time, especially in the circumstances of small-volume & large-variety product items. Therefore, a proper warehouse management planning is needed to realize prompt and accurate storage and picking.
This study takes the warehouse management of the helmet industry as the case study. The case company has no rules for the arrangement and assignment of the inventory, causing a longer time to pick goods. Four factors (pick routing, activity based classification, storage assignment and aisle adding) and full factorial experiment are adopted to develop an optimal warehouse management system. Walking distance and picking time are also considered to establish picking strategy. Suggestions are also provided.

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