مهسا اللهیاری

مهسا اللهیاری

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CO-Active Neuro- Fuzzy Inference System Application in Supply Chain Sustainability Assessment Based on Economic, Social, Environmental, and Governance Pillars(مقاله علمی وزارت علوم)

کلیدواژه‌ها: Supply Chain Management Sustainability Assessment CANFIS Fuzzy Inference System Fuzzy Delphi Automotive Industry

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تعداد بازدید : ۳۶۸ تعداد دانلود : ۱۹۴
The main aim of this study is proposing an assessment model for evaluating the supply chain sustainability across the automotive sector. In this study, through reviewing the sustainability indicators in the economic, social, environmental, and governance pillars, the fuzzy Delphi is applied. Then, survey method is used to implement the model designed in CANFIS to evaluate the sustainability indicators. In this research, the proposed model was used for evaluating the sustainability in four pillars which is more inclusive than previous research. To improve the sustainability, it must be evaluated and measured so that after the improvement measures, the results are determined through measurement. According to the findings, it was concluded that the model designed in CANFIS was a reliable tool for assessing the sustainability .

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