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A systematic literature review on MCDM methods, fuzzy logic, and machine learning approaches for development-oriented supplier evaluation

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  • Ahmet Selcuk Yalcin
  • Emre Cevikcan
  • Huseyin Selcuk Kilic

Abstract

This paper aims to provide a comprehensive overview of decision-support methods used in the development-oriented supplier evaluation phase and to help identify appropriate decision-support methods for future work in this area. It also seeks to present an overview of the supplier characteristics that can be developed and the relationships between them. Our findings reveal three categories of decision-support methods employed in evaluating suppliers for development: multi-criteria decision making (MCDM) methods, fuzzy sets and machine learning algorithms. Furthermore, the characteristics of suppliers considered for development are grouped into three dimensions: capability, performance and willingness to cooperate. Considering the published articles on supplier development, there are no studies that analyse in detail the decision-support methods used to evaluate suppliers for development. To the best of our knowledge, this study is the first to provide a comprehensive overview of such methods.

Suggested Citation

  • Ahmet Selcuk Yalcin & Emre Cevikcan & Huseyin Selcuk Kilic, 2026. "A systematic literature review on MCDM methods, fuzzy logic, and machine learning approaches for development-oriented supplier evaluation," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 18(3), pages 292-327.
    • Handle: RePEc:ids:ijisma:v:18:y:2026:i:3:p:292-327
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