Sustainability, Resiliency, and Artificial Intelligence in Supplier Selection: A Triple-Themed Review

Hossein Mirzaee () and Sahand Ashtab ()
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Hossein Mirzaee: Shannon School of Business, Cape Breton University, Sydney, NS B1M 1A2, Canada
Sahand Ashtab: Shannon School of Business, Cape Breton University, Sydney, NS B1M 1A2, Canada

Sustainability, 2024, vol. 16, issue 19, 1-28

Abstract: The process of selecting suppliers is a critical and multifaceted aspect of supply chain management, involving numerous criteria and decision-making variables. This complexity escalates when integrating sustainable and resilient factors into supplier evaluation. This literature review paper explores various evaluation criteria that encompass economic, environmental, social, and resilience dimensions for supplier selection. Different methodologies to model and address these complexities are investigated in this research. This review synthesizes the findings of 143 publications spanning the last decade (2013–2023), highlighting the prevalent evaluation criteria and methodologies and identifying existing research gaps. In addition, the feasibility of combining multiple approaches to more accurately reflect real-world scenarios and manage uncertainties in supplier selection is examined. This paper also proposes a decision-making framework to assist practitioners in navigating the intricacies of this process. The paper concludes by suggesting seven potential directions for future research in this evolving field.

Keywords: supplier selection; sustainability; resiliency; artificial intelligence; mathematical modeling; multi-criteria decision-making (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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