A Fuzzy Multi-Criteria Decision-Making Approach for Green Supply Chain Management: Supplier Prioritization in the Automotive Industry

Authors

  • Fahimeh Tanhaie * Department of Industrial Engineering, Faculty of Basic Science and Engineering, Kosar University of Bojnord, Bojnord, Iran. https://orcid.org/0000-0002-1388-9289
  • Asma Izanloo Department of Industrial Engineering, Faculty of Basic Science and Engineering, Kosar University of Bojnord, Bojnord, Iran.

https://doi.org/10.48313/scodm.v2i3.36

Abstract

Environmental sustainability has become a critical concern for industries worldwide, driving the adoption of Green Supply Chain Management (GSCM) practices. This study proposes a fuzzy multi-criteria decision-making approach to prioritize automotive component suppliers under GSCM principles within SAIPA Automotive Company. Using the Fuzzy TOPSIS method, suppliers are evaluated based on criteria including quality, delivery time, price, environmental management system, green design, recycling capability, and eco-friendly procurement. The results indicate that Iran Lavazem Company ranks first, followed by Pars Seat Systems Company among seat suppliers. This research highlights the importance of integrating environmental factors into supplier selection and provides a practical framework for sustainable decision-making in the automotive industry. The methodology supports manufacturers in enhancing supply chain sustainability while maintaining operational efficiencys.

Keywords:

Green supply chain management, Supplier selection, Fuzzy TOPSIS, Automotive industry

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Published

2025-04-24

Issue

Vol. 2 No. 3 (2025): Supply Chain and Operations Decision Making

Section

Articles

How to Cite

Tanhaie, F. ., & Izanloo, A. . (2025). A Fuzzy Multi-Criteria Decision-Making Approach for Green Supply Chain Management: Supplier Prioritization in the Automotive Industry. Supply Chain and Operations Decision Making, 2(3), 105-114. https://doi.org/10.48313/scodm.v2i3.36

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