本文主要是探討多商品之最適訂購策略，在一般商品中，銷售大略分為離峰、尖峰與假日三時段，不同的商品其需求量亦不相同。因此，我們經由 POS系統收集多商品每天之銷售資料，瞭解和分析每日之銷售狀況，進而建構出一存貨模型，再根據最佳化分析方法，找出多商品單一供應商之最適 (Q) ，使總期望存貨成本最小化，並對參數進行敏感度分析。最後，提出四點結論，作為後續研究與實務應用之參考。

The main propose of this article is to establish optimal ordering Strategy for multiple goods. For some merchandise, its sales conditions can be partitioned into three periods: peak-time period, off-peak-time period and holidays. Because of the demands for different goods are not the same, so we need to collect the transaction data through the POS system, analying the daily sales conditions. In addition, we build up an inventory model and according to the optimization technique and a numerical analysis method, the article can find out the optimal ordering quantity and reorder point under multiple goods and single supplier to minimize the total expected cost. The sensitivity analysis was also taken to realize the influence of parameters. Finally, four conclusions are drawn for practical applications and future studies.