Sustainable Supplier Selection Based on a Comparative Decision-Making Approach Under Uncertainty

Authors

  • Seyyed Jalaladdin Hosseini Dehshiri Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran, Iran Author https://orcid.org/0000-0001-7031-1259

DOI:

https://doi.org/10.31181/sor31202644

Keywords:

Supplier selection, Fuzzy Delphi, Multi-criteria decision-making, MCDM, Comparative analysis, Fuzzy numbers, Sustainable development

Abstract

Nowadays, due to the increasing awareness of sustainability and green issues worldwide, companies are forced to implement sustainable projects in their Supply Chain (SC) to maintain and increase their competitive advantage. To enhance business performance and gain a competitive edge, it is crucial to select green and sustainable suppliers in the supply chain, as they play a vital role in executing sustainable projects. Therefore, the research was conducted to select sustainable suppliers in the SC. Initially, a list of indicators for selecting sustainable suppliers was extracted, and these indicators were adjusted and finalized using the fuzzy Delphi technique. Also, the Step-wise Weight Assessment Ratio Analysis (SWARA) technique was used for weighting, and the Fuzzy Weighted Aggregates Sum-Product Assessment (F-WASPAS) technique was used for prioritizing suppliers. In addition, the robustness of the findings was examined using a comparative analysis of different decision methods in a fuzzy environment. The weighting results showed that the product price, transportation cost, and green design and purchasing indicators were of the highest importance, respectively. Moreover, the results of the supplier ranking revealed that the first supplier had the highest priority. 

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Published

2025-06-01

How to Cite

Dehshiri, S. J. H. . (2025). Sustainable Supplier Selection Based on a Comparative Decision-Making Approach Under Uncertainty. Spectrum of Operational Research, 3(1), 238-251. https://doi.org/10.31181/sor31202644