Farayandno

Farayandno

Identification, Weighting, and Ranking of Green Suppliers Using Multi-Criteria Decision-Making Methods

Document Type : Review

Authors
Iman Heydari 1
Kamran Kianfar 2
Mahdi Imanian Najafabadi 3
1 Msc. of Industrial Engineering, University of Isfahan, Isfahan, Iran
2 Associate Professor, Faculty of Engineering, University of Isfahan, Isfahan, Iran
3 National Iranian Oil Products Distribution Company, Isfahan, Iran
10.22034/farayandno.2025.2052676.1987
Abstract
This research aimed to identify, weight, and rank green suppliers for the National Iranian Oil Products Distribution Company. Initially, 73 preliminary criteria were identified through a review of scientific literature and expert opinions, followed by the screening of 10 key criteria using the CVI index. AHP, CRITIC, and Shannon Entropy methods were used for weight assignment, and the TOPSIS, CoCoSo, and MARCOS methods were applied for supplier ranking. In this study, the projector product was selected as a case study, and three companies (Golnoor, MaziNoor, and Shayan Bargh) were evaluated. The results showed that the sub-criteria of cost, product quality, on-time delivery, greenhouse gas emissions, and employee training had the highest weights in the decision-making process. Ultimately, Golnoor achieved the highest rank across all methods with a final weight of 0.394 and was selected as the top green supplier, while Shayan Bargh and Mazi Noor had final weights of 0.316 and 0.291, respectively.
Keywords
Multi-Criteria Decision Making
National Iranian Oil Products Distribution Company
Green Supplier Selection
Expert Choice Software

Subjects

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