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A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers

机译:基于模糊DEMATEL,模糊ANP和模糊TOPSIS的新型混合MCDM方法评估绿色供应商

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摘要

It is well known that "green" principles and strategies have become vital for companies as the public awareness increased against their environmental impacts. A company's environmental performance is not only related to the company's inner environmental efforts, but also it is affected by the suppliers' environmental performance and image. For industries, environmentally responsible manufacturing, return flows, and related processes require green supply chain (GSC) and accompanying suppliers with environmental/green competencies. During recent years, how to determine suitable and green suppliers in the supply chain has become a key strategic consideration. Therefore this paper examines GSC management (GSCM) and GSCM capability dimensions to propose an evaluation framework for green suppliers. However, the nature of supplier selection is a complex multi-criteria problem including both quantitative and qualitative factors which may be in conflict and may also be uncertain. The identified components are integrated into a novel hybrid fuzzy multiple criteria decision making (MCDM) model combines the fuzzy Decision Making Trial and Evaluation Laboratory Model (DEMATEL), the Analytical Network Process (ANP), and Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) in a fuzzy context. A case study is proposed for green supplier evaluation in a specific company, namely Ford Otosan.
机译:众所周知,随着公众对环境影响的意识增强,“绿色”原则和战略对于公司至关重要。公司的环境绩效不仅与公司内部的环境努力有关,而且还受到供应商的环境绩效和形象的影响。对于行业而言,对环境负责的制造,回流和相关流程需要绿色供应链(GSC)以及具有环境/绿色竞争力的配套供应商。近年来,如何在供应链中确定合适的绿色供应商已成为关键的战略考虑。因此,本文研究了GSC管理(GSCM)和GSCM能力维度,提出了绿色供应商评估框架。但是,供应商选择的性质是一个复杂的多准则问题,包括数量和质量因素,这些因素可能有冲突,也可能是不确定的。识别出的组件被集成到一个新颖的混合模糊多准则决策模型(MCDM)中,该模型结合了模糊决策试验和评估实验室模型(DEMATEL),分析网络过程(ANP)和与理想解决方案相似的订单执行技术(TOPSIS)。提出了一个案例研究,以评估福特Otosan等特定公司的绿色供应商。

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