氣候變遷，全球暖化，民眾環保意識的覺醒，政府法規的遵循，綠色供應管理成為企業取得環境永續的重要課題。供應商評選是建構綠色供應管理關鍵要件之一。企業在選擇最適供應商的決策過程中，許多經濟性與環境面的準則必須被考量。過去雖有不少的供應商評選研究，但大多數的研究考量經濟性的準則如成本、品質、交期等，僅少數的學者把環境面的準則納入研究。本研究應用模糊多準則決策方法同時考量經濟性與環境面的準則研究綠色供應商評選。在提出的方法中，模糊層級分析法(FAHP)應用在語意不清的環境決定重要準則的重要程度。另外，以模糊TOPSIS評估和排序潛力供應商，最後，以光電產業個案闡明本研究方法的實用性與效率性。

Due to the challenge of rising public awareness of environmental issues and governmental regulations, green supply chain management (SCM) has become an important issue for companies to gain environmental sustainability. Supplier selection is one of the key operational tasks necessary to construct a green SCM. To select the most suitable suppliers, many economic and environmental criteria must be considered in the decision process. Although numerous studies have used economic criteria such as cost, quality, and lead time in the supplier selection process, only some studies have taken into account the environmental issues. This study proposes a comprehensive fuzzy multi-criteria decision making (MCDM) approach for green supplier selection and evaluation, using both economic and environmental criteria. In the proposed approach, a fuzzy analytic hierarchy process (FAHP) is employed to determine the important weights of criteria under vague environment. In addition, a fuzzy technique for order performance by similarity to ideal solution (TOPSIS) is used to evaluate and rank the potential suppliers. Finally, a case study in Luminance Enhancement Film (LEF) industry is presented to illustrate the applicability and efficiency of the proposed method.

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