本文探討易腐性商品在有效期限內階層市場定價下求解總期望利潤最大化之最適訂購策略，且對其相關參數進行敏感度分析;針對階層式市場需求建構一階層式市場需求對易腐性商品最適訂購量之數學規劃模型，以零售商為研究之對象，並將各階層市場之需求平均數、標準差及各階層市場之邊際利潤進行敏感度分析，以瞭解相關參數對總期望利潤之影響，進而求解最適訂購量；本模型亦具備未來市場需求之擴充性，可以擴充延伸至n 階層之市場需求之結構；利用Leibniz's rule推導出在某種限制條件下，Tn（Q）為嚴格凹函數（strict concave function），並以數值分析模擬演算法求解最適訂購量Q＊，且印證本模式為凹函數有極大值存在，利用數值範例分析來進一步探討敏感度分析對最適訂購量與總期望利潤之變動關係，以滿足一般易腐性商品最適訂購量之決策需求。

　　This paper focus on multi-market market demand that follows normal distribution, and construct the mathematical models for retailers' perishable commodity optimal ordering strategy. Not only compare the perishables commodity with four stages market given price to find out the expected total profit within expiry date, but also this model can also extend to n stages market demand structure in the future and using Leibniz's rule to judge the existence of the maximum expected profit. Using a numerical example to demonstrate how the parameters affect the optimal ordering strategy. Finally, five conclusions are drawn for future studies and applications.