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Integration of fuzzy ANP and fuzzy TOPSIS for evaluating carbon performance of suppliers

机译:模糊ANP和模糊TOPSIS的集成评价供应商的碳绩效。

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摘要

Previous studies have proven that enterprises addressing green supply chain management problem may produce an apparent improvement to their stockholder interests. According to the report of Kearney (Carbon Disclosure Project: supply chain report 2010. CDP, London, 2010), more than 80 % of the carbon emissions are generated from the suppliers' activities in a company's performance. 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 work. Therefore, this study intends to develop a framework of the supplier evaluating process for 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 the environmental department. The model result in a case company shows that three of the most important criteria are "carbon governance,'' "carbon policy'' and "carbon reduction targets.'' The proposed hybrid methodology has great ability to explain the vagueness of decision maker's expression and better discrimination power to evaluate suppliers in carbon management.
机译:先前的研究证明,解决绿色供应链管理问题的企业可能会明显改善其股东利益。根据Kearney的报告(碳披露项目:2010年供应链报告。CDP,伦敦,2010年),超过80%的碳排放是由供应商在公司绩效中的活动产生的。该项目的许多成员声称他们将尽快重新评估其供应商。因此,将碳管理问题和供应商评估问题结合起来是一项非常关键的工作。因此,本研究旨在通过整合模糊ANP和模糊TOPSIS方法来开发碳管理供应商评估过程的框架。通过文献回顾确定了四个方面的十三项碳管理标准,并根据环境部门七名专家的意见进行了修改。案例公司的模型结果表明,最重要的三个标准是“碳治理”,“碳政策”和“碳减排目标”。提出的混合方法具有解释决策者表达含糊不清的强大能力。以及更好的歧视能力,以评估供应商的碳管理。

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