在今日高度競爭的環境下，提供一個有效的供應商選擇程序，對於成功的採購經理而言，是極為重要的。因為正確選擇優良的供應商，不但可以大幅減少採購成本，並增進企業的競爭力。然而在傳統上對於供應商選擇的程序，大都同時考慮多項異質的準則，因此在作採購決策時，變成是一件冗長的工作。再則當同時考慮數量折扣時，供應商選擇的程序即變得更複雜。在這種形況下，大多數的研究將“數量折扣下的供應商選擇問題”視為多目標線性規劃(MOLP)的問題，並將其簡化成混合整數規劃(MIP)的問題，以方便處理多目標的屬性。然而這種的處理方式，常常忽略尺度及主觀權重兩項議題。本研究將提出兩組解題的程序，分別為層級分析法(AHP)與模糊妥協規劃及層級分析法與正規化權重，去克服上述的尺度及主觀權重兩項議題，並針對不同供應商所提出的數量折扣，得到一個更合理的妥協解，去分配各供應商的訂購量。同時，為了論證本研究的模式，並闡明兩種不同決策者的態度，我們將利用一個例子來說明。從例子的資訊中，可進一步提供供應商改進的參考，更可幫助廠商與供應商建立雙贏的策略。

In today’s highly competitive environment, an effective supplier selection process is very important for a purchasing manger in achieving success of any manufactory organization. Mainly selecting the right suppliers significantly reduces the purchasing cost and improves corporate competitiveness. However, supplier selection process should consider numerous heterogeneous criteria simultaneously, thereby be a tedious task while making purchasing decisions. Furthermore, the supplier selection process becomes more complicated when considering quantity discounts at the same time. Under such circumstances, most studies often formulate such problem as a Multi-Objective Linear Programming (MOLP) problem, and then scale it down to a Mixed Integer Programming (MIP) problem in order to handle the inherited multi-objectives simultaneously. However, this approach often neglects scaling and subjective weighting issues. In order to ease the problem mentioned above and obtain a more reasonable compromise solution for allocating order quantities among suppliers with their quantity discount rate offered, the two sets of solution procedures including Analytical Hierarchy Process (AHP) & fuzzy compromise programming and AHP & normalized weights, are introduced in this study. An illustrated example is presented to demonstrate the proposed model and to illuminate two kinds of attitudes for decision makers. The information from the experiments can be utilized further to explain the suppliers’ possible improvement and to help create win-win policies.

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