供應商選擇一直是供應鏈管理上一個重要的議題。近年來評估與選擇最適合供應商在行銷研究論文成為策略考量。然而，供應商的評選是一種多目標與多準則的問題，其涉及到各種定性 與定量因素。又已往這些研究所提出對選擇最好供應商的評估僅關注於定性決策準則而忽略定量準則因素。本研究考慮定性與定量因素，提出兩種方法進行供應商選擇問題; 1.採用田口損失函數，分析階層程序法與多選目標規劃法來決定供應商; 2. 應用模擬理想解類似度偏好順序評估與多選目標規劃法進行最佳供應商的評估與選擇分案。本研究應用決策者選擇最佳供應商之不同期望水準，提出鐘錶業與食品業兩個實務案例，說明上述兩種決策分析模式之應用。 Supplier selection is an important issue in supply chain management. In recent years, determining the best supplier in the supply chain has become a key strategic consideration in marketing researches. However, these decisions usually involve multi-goal and multi-criteria or qualitative and quantitative factors. The previous research force in qualitative criterions and ignore the quantitative factors for supplier selection. This study considering both tangible and intangible criteria proposes two integrated methods. First, this study use Taguchi loss function, analytical hierarchy process (AHP) and multi-choice goal programming (MCGP) model for solving the supplier selection problem. Second, it addressed fuzzy techniques for order preference by similarity to ideal solution (TOPSIS) and MCGP approach to evaluate the best supplier. The advantage of these methods is that it allows decision makers to set multiple aspiration levels for supplier selection. The integrated models are illustrated by two examples in watch and food firms.
