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Sustainable supplier selection under attractive criteria through FIS and integrated fuzzy MCDM techniques

机译:通过FIS和综合模糊MCDM技术在有吸引力标准下可持续的供应商选择

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摘要

Suppliers as upstream partners play a crucial role to establish sustainability in the supply chain. For precise evaluation of the supplier's performance on sustainability criteria researchers have mainly focused on Multi-Criteria Decision Making (MCDM) and Fuzzy Inference System (FIS) approaches. The objective of the paper is to evaluate the supplier's sustainability performance through FIS and fuzzy MCDM approaches. Further, the results are compared and utilised to develop the Sustainable Supplier Selection (SSS) framework for the iron and steel industry of India. To calculate Suppliers Performance Index (SPI), three distinct FIS engines have been developed for each sustainability dimensions and fuzzy AHP and TOPSIS techniques are used for the MCDM environment. The results provide a deep inside of the sustainability performance of each supplier. It elicits from the results of two approaches, that ranks are interchanged among the top two suppliers.
机译:作为上游合作伙伴的供应商在供应链中建立可持续性发挥至关重要的作用。对于对供应商的精确评估,供应商的可持续性性能标准研究人员主要集中在多标准决策(MCDM)和模糊推理系统(FIS)方法上。本文的目的是通过FIS和模糊MCDM方法评估供应商的可持续发展性能。此外,比较结果并利用了印度钢铁工业的可持续供应商选择(SSS)框架。为了计算供应商性能指数(SPI),为每个可持续性尺寸开发了三个不同的FIS发动机,并模糊AHP和TOPSIS技术用于MCDM环境。结果在每个供应商的可持续性性能方面提供了深刻的内部。它从两种方法的结果中引出,该等级在前两个供应商中互换。

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