Assessing the stability of suppliers using a multi-objective fuzzy voting data envelopment analysis model

Mohammad Izadikhah (), Reza Farzipoor Saen (), Ramin Zare (), Mohadese Shamsi () and Maryam Khanmohammadi Hezaveh ()
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Mohammad Izadikhah: Islamic Azad University
Reza Farzipoor Saen: Sultan Qaboos University
Ramin Zare: Islamic Azad University
Mohadese Shamsi: Iran University of Science and Technology
Maryam Khanmohammadi Hezaveh: Islamic Azad University

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2025, vol. 27, issue 9, No 66, 22005-22047

Abstract: Abstract Sustainability has become a critical issue in supplier selection problems. Also, risk management in supply chains has become an important issue in supply chain management (SCM). The literature shows that there is no data envelopment analysis (DEA) research to evaluate suppliers by considering both sustainability factors and risk factors. This paper introduces a new concept entitled stability which is a combination of sustainability and risk indices. Due to the importance of assessment of suppliers in SCM, the current study not only develops a new DEA model for solving the voting system but also by employing an ideal candidate proposes a multi-objective DEA model to increase discrimination power using fuzzy efficiency method. Our developed method is applied in a case study to assess the stability of 26 petrochemical companies supplying raw materials to the Homa Rashten Aligodarz Industrial Group. Using the proposed models, the most stable supplier is determined. Moreover, according to the obtained results, the environmental criteria are determined as the most effective criteria on the overall preference ranking, and also, the Managers-based ranking is found as the most effect on the final overall preference ranking. A comparison between the proposed method and existing methods indicates that the presented method provides more reliable results.

Keywords: Sustainable supply chain management (SSCM); Data envelopment analysis (DEA); Voting; Fuzzy number; Risk management (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10668-022-02376-6

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