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

Author

Listed:
  • Ömer Karakoç

    (Department of Industrial Engineering, Faculty of Engineering, Marmara University, İstanbul 34854, Türkiye
    Department of Industrial Engineering, Faculty of Engineering, İstinye University, İstanbul 34396, 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)

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.

Suggested Citation

  • Ömer Karakoç & Samet Memiş & Bahar Sennaroglu, 2023. "A Review of Sustainable Supplier Selection with Decision-Making Methods from 2018 to 2022," Sustainability, MDPI, vol. 16(1), pages 1-21, December.
    • Handle: RePEc:gam:jsusta:v:16:y:2023:i:1:p:125-:d:1305398
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    References listed on IDEAS

    as
    1. Haolun Wang, 2022. "Sustainable Circular Supplier Selection in the Power Battery Industry Using a Linguistic T-Spherical Fuzzy MAGDM Model Based on the Improved ARAS Method," Sustainability, MDPI, vol. 14(13), pages 1-26, June.
    2. Hadi Moheb-Alizadeh & Robert Handfield, 2018. "An integrated chance-constrained stochastic model for efficient and sustainable supplier selection and order allocation," International Journal of Production Research, Taylor & Francis Journals, vol. 56(21), pages 6890-6916, November.
    3. Mohammed, Ahmed & Harris, Irina & Govindan, Kannan, 2019. "A hybrid MCDM-FMOO approach for sustainable supplier selection and order allocation," International Journal of Production Economics, Elsevier, vol. 217(C), pages 171-184.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Mohammad Izadikhah & Reza Farzipoor Saen, 2020. "Ranking sustainable suppliers by context-dependent data envelopment analysis," Annals of Operations Research, Springer, vol. 293(2), pages 607-637, October.
    6. Katerina Fotova Čiković & Ivana Martinčević & Joško Lozić, 2022. "Application of Data Envelopment Analysis (DEA) in the Selection of Sustainable Suppliers: A Review and Bibliometric Analysis," Sustainability, MDPI, vol. 14(11), pages 1-30, May.
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