CO-Active Neuro- Fuzzy Inference System Application in Supply Chain Sustainability Assessment Based on Economic, Social, Environmental, and Governance Pillars
Subject Areas : Business Strategy
Mahsa
Alahyari
1
(Department of Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran)
Nazanin
Pilevari
2
(Department of Industrial Management, West Tehran Branch, Islamic Azad University, Tehran, Iran)
Keywords: supply chain management, fuzzy Delphi, CANFIS Fuzzy Inference System, Sustainability Assessment, Automotive Industry,
Abstract :
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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