Optimization models for supply chains under risk, uncertainty, and resilience: A state-of-the-art review and future research directions

Pravin Suryawanshi and Pankaj Dutta

Transportation Research Part E: Logistics and Transportation Review, 2022, vol. 157, issue C

Abstract: The study of supply chain (SC) resilience as a research perspective is in an incipient state. Nevertheless, there is a tremendous amount of literature concerning SCs under risk and uncertainty. This paper presents a review of the quantitative models for SC resilience using bibliometric and network analyses. The study identified 3672 articles and provided statistical measurements of science, scientists, and scientific activities. Additionally, the analysis highlights the inter-temporal dimensions of decision making and classifies articles based on their usability in real-world applications. Systematic mapping using co-citation and the PageRank algorithm resulted in seven key research themes, and a microlevel analysis of these themes provides prospective research directions. This involved examining the contributions of individual articles with respect to their scope, value proposition, risk-type consideration, methodology and technique used, and their industry applications. The thematic analysis and extensive future research directions leverage the insights and potential of this review article.

Keywords: Supply chain resilience; Risk and uncertainty; Quantitative models; Systematic review; Meta-analysis (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (10)

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DOI: 10.1016/j.tre.2021.102553

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