A Review of Sustainable Supplier Selection with Decision-Making Methods from 2018 to 2022

Ömer Karakoç (), Samet Memiş and Bahar Sennaroglu
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Ömer Karakoç: Department of Industrial Engineering, Faculty of Engineering, Marmara University, İstanbul 34854, Türkiye
Samet Memiş: Department of Marine Engineering, Faculty of Maritime, Bandırma Onyedi Eylül University, Balıkesir 10200, Türkiye
Bahar Sennaroglu: Department of Industrial Engineering, Faculty of Engineering, Marmara University, İstanbul 34854, Türkiye

Sustainability, 2023, vol. 16, issue 1, 1-21

Abstract: Sustainable supplier selection (SSS) is an essential part of the decision-making process in sustainable supply chains. Numerous research studies have been conducted using various decision-making methods to attend to this research-worthy issue. This literature review presents a comprehensive SSS analysis focusing on social, economic, and environmental aspects. The present study spans five years (2018–2022) and considers 101 papers. It provides a detailed breakdown of the papers based on their dates of publication, the countries of the writers, application fields, and journals, and it categorizes them based on their approaches. In addition, this review examines the use of single- or hybrid-form methodologies in the papers reviewed. It also identifies that the TOPSIS, AHP, VIKOR, BWM, DEA, DEMATEL, and MULTIMOORA methods and their extensions are the most frequently used methods in SSS studies. It is concluded that hybrid approaches and their rough, grey, and fuzzy extensions are used to solve real-world problems. However, state-of-the-art mathematical tools, such as soft sets and their hybrid versions with fuzzy sets, have not been utilized in SSS studies. Therefore, this study inspires and encourages the use of such tools in SSS research.

Keywords: sustainable supplier selection; supply chain management; multi-criteria decision making; multi-objective decision making; multi-attribute decision making (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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