研究指出，企業能有效處理綠色供應鏈管理(GSCM)問題者，能夠增加其股東的利益。而在2012年碳揭露計畫(CDP)的報告中更指出，由於超過八成的碳排放來自於企業營運的供應商，許多該計畫的會員將在短期內對其供應商重新篩選，因此結合碳管理議題及供應商選擇問題就更為重要。本研究藉由模糊分析網路程序法(Fuzzy ANP)與模糊近似最佳解排序技術(Fuzzy TOPSIS)之混合模式，發展碳管理概念下為供應商績效衡量的選擇模型。在整合文獻與專家意見後，選擇出十三個碳管理的準則與四個構面，並藉由本研究之模型選擇出三個重要的準則分別為「碳治理」、「碳政策」與「減碳目標」。結果指出，藉由本研究所建構之混合模型是能夠有效藉由碳管理之準則與構面選擇綠色供應商並做出貼合真實需求的決策。

Studies have proved that enterprises addressing green supply chain management (GSCM) problem may get apparent improvement to their stockholder interests. According to the report of Carbon Disclosure Project (CDP) in 2012, more than 80% of the carbon emissions are generated from the suppliers’ activities in a company’s operation. Many members of the project claimed that they will reassess their suppliers as soon as possible. Therefore, to combine the carbon management issue and supplier evaluating problem turns to be a very crucial task. This study intends to develop a framework of the supplier evaluating process in carbon management by integrating fuzzy ANP and fuzzy TOPSIS approaches. Thirteen criteria of carbon management under four dimensions were identified by literature review and modified according to the opinion of seven experts in environmental department. The model result on a case illustration shows that three of the most important criteria are “Carbon governance,” “Carbon policy” and “Carbon reduction targets.” The proposed hybrid methodology is believed to have great ability explaining the vagueness of decision maker’s expression and has better power of discrimination to evaluating suppliers in carbon management.

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