A novel coexistent resilience index to evaluate the supply chain resilience of industries using fuzzy logic
ISSN: 1359-8546
Article publication date: 10 October 2023
Issue publication date: 22 February 2024
Abstract
Purpose
This study aims to explore supply chain resilience (SCR) and provides a unique resilience index. The work measures the resilience status of 37 organizations across 22 industries and provides insight into accessing the supply chain (SC) vulnerability in an uncertain environment.
Design/methodology/approach
This study involves measuring the resilience status of 37 organizations across 22 industries based on a subjective decision-making approach using fuzzy logic. Experts from industries rated the importance and level of implementation of 33 attributes of SCR, which are used to develop a fuzzy index of implementation that explains the resilience status of organizations.
Findings
A novel coexistent resilience index is computed based on mutualism to exhibit the proportion of contribution or learning of each attribute of an organization in an industry. The research will enhance the response plans and formation of strategic alliances for mutual coexistence by industry.
Research limitations/implications
Evidence-based interpretations and suggestions are provided for each industry to enhance resilience through coexistence.
Originality/value
The work uniquely contributes to academic literature and SC strategy. The novel coexistent resilience index is computed based on mutualism, facilitating researchers to access SC resiliency.
Keywords
Acknowledgements
Conflict of interest: The authors declare that they have no conflict of interest. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. The authors declare no financial interests/personal relationships which may be considered as potential competing interests.
The author(s) declared that no grants were involved in supporting this work.
Since acceptance of this article, the following author have updated their affiliation: S.P. Anbuudayasankar is at the Department of Mechanical Engineering, School of Studies in Engineering and Technology, Guru Ghasidas Vishwavidyalaya, A Central University, Bilaspur, India.
Citation
Narassima, M.S., Gedam, V., Gunasekaran, A., Anbuudayasankar, S.P. and Dwarakanath, M. (2024), "A novel coexistent resilience index to evaluate the supply chain resilience of industries using fuzzy logic", Supply Chain Management, Vol. 29 No. 2, pp. 221-243. https://doi.org/10.1108/SCM-05-2023-0218
Publisher
:Emerald Publishing Limited
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