本研究由變動前置時間及每日需求量為隨機變數之觀點出發，藉由電腦軟 體模擬前置時間及需求量之資料進行適合度檢定 (K-S 檢定)，找出其對應之機 率分配，進而建構多變量之存貨管理模型，應用最佳化分析技術與數值積分方 法，找出最適存貨決策變數之組合，以達到總期望存貨成本最小化之目標，再 藉由所求出的最適再訂購點，找出最適之存貨服務率。

This research takes into account the variable lead time and stochastic demand for inventory. First, we collected demand and lead time data to test their goodness of fit, then, based on the verified distributions of demand and lead time to build up a multi-variate inventory management model. We applied the optimal technique and numerical calculation method to search for the optimal ordering quantity and reorder point to obtain the minimum total expected cost of inventory. Furthermore, according to the optimal reorder point, we found out the optimal service rate about its corresponding inventory.