本研究以國內某家電子設備製造商提供的存貨資訊，考量多種存貨目標，針對存貨分群方式提出建議；進而制定一適當的存貨政策來提升存貨功能並降低存貨成本。研究分二大部分進行：第一部分為存貨的分群；第二部分為存貨的水準制定。為了解各庫存項目之狀況，本研究分析了該公司庫存資料，建立各庫存項目之日庫存歷程。而後，以採購、產品結構、及訂單資訊衍伸出價值及需求的準則，並應用自組織映射網路為工具建立存貨分群；並依此分群建立一套簡單的存貨管理機制，設定各分類項目的管理方式。研究結果顯示，新的存貨分群及存補貨政策，可以有效降低存貨成本。

The modern industries face the pressure of short product life-cycle and long manufacturing lead-time. How to keep proper inventory to meet supply from demand from upstream manufacturers to downstream retailers has been a highly emphasized issue for researchers. This case study aims at solving the deficiency of the inventory control of an electronic device producer in Taiwan. Based on the practical inventory information provided by the company, such as: sales order, bill of materials, purchase order, and inventory balance sheet, the researchers review its way of dealing with the Stock Keeping Unit (SKU) clustering with multiple considerations, such as: lead time, importance, demand variations, and so on. What's more, the researcher also makes efforts to figure out ways to better the effects and the management of the inventory. This study is divided into two parts: the first part focuses on SKU clustering and the second one is about setting the replenishment policy for each cluster. To understand the condition of the inventory, the researchers make an analysis of the raw data from the company's ERP (Enterprise Resource Planning) system and rebuild the daily inventory tracking. The researchers also retrieve the demand and value related information from the subject's ERP data and then apply the Self-Organizing Map (SOM) method to cluster the SKUs. After that, the researchers adopt the results to design a simple replenishment policy for each cluster. The result of the study suggests that more suitable inventory classification and more proper policy of goods saving and supplements help to reduce the cost of inventory and promote the inventory turnover.