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A Review of Research on Supply Chain Resilience Evaluation Indicator System and Evaluation Methods

Author(s)

Fei Yan, Xiao Song

Affiliation(s)

Shandong University of Technology, Zibo, Shandong, China

Abstract

In the context of intensifying globalization and escalating supply chain risks, the study of supply chain resilience has increasingly attracted significant scholarly attention globally. This paper provides a comprehensive review of the current research landscape on the definition of supply chain resilience, its evaluation metric systems, and assessment methodologies, with an in-depth analysis of pertinent literature from both domestic and international sources. The extant research reveals a lack of consensus on the precise definition of supply chain resilience. The predominant evaluation methodologies encompass index weighting methods, mathematical modeling approaches, and simulation techniques, each possessing distinct advantages and limitations. This paper underscores the necessity for future research to emphasize the contextual variability in supply chain complexity, bolster the inherent resilience of supply chains, and develop more objective and versatile evaluation models. Furthermore, the integration of emerging technologies such as big data, artificial intelligence, and blockchain is anticipated to play a pivotal role in enhancing supply chain resilience. The deployment of these advanced technologies not only offers novel avenues for theoretical exploration but also furnishes crucial tools and methodologies for practical supply chain management.

Keywords

Supply Chain Resilience; Evaluation Dimension; Evaluation Index System; Evaluation Method; Supply Chain Management

References

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