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A Fuzzy MCDM Approach for Green Supplier Selection from the Economic and Environmental Aspects

机译:从经济和环境角度选择绿色供应商的模糊MCDM方法

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摘要

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 multicriteria 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 (AHP) 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.
机译:由于不断提高的公众对环境问题和政府法规的认识的挑战,绿色供应链管理(SCM)已成为公司获得环境可持续性的重要问题。选择供应商是构建绿色供应链管理必不可少的关键操作任务之一。为了选择最合适的供应商,在决策过程中必须考虑许多经济和环境标准。尽管许多研究在选择供应商时都使用了经济标准,例如成本,质量和交货期,但只有一些研究考虑了环境问题。这项研究提出了一种综合的模糊多准则决策方法(MCDM),用于同时使用经济和环境准则的绿色供应商选择和评估。在提出的方法中,采用模糊层次分析法(AHP)确定模糊环境下准则的重要权重。此外,通过类似于理想解决方案(TOPSIS)的订单表现模糊技术来评估和排名潜在供应商。最后,以亮度增强膜(LEF)行业为例,说明了该方法的适用性和有效性。

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  • 来源
    《Mathematical Problems in Engineering》 |2016年第2期|8097386.1-8097386.10|共10页
  • 作者单位

    Natl Taiwan Univ Sci & Technol, Dept Ind Management, 43,Sect 4,Keelung Rd, Taipei 10607, Taiwan;

    Natl Taiwan Univ Sci & Technol, Dept Ind Management, 43,Sect 4,Keelung Rd, Taipei 10607, Taiwan;

    Vietnam Natl Univ, Univ Econ & Business, 144 Xuan Thuy, Hanoi, Vietnam;

    Feng Chia Univ, Dept Publ Finance, Taichung 40724, Taiwan;

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