A novel coexistent resilience index to evaluate the supply chain resilience of industries using fuzzy logic

IF 7.9 3区 管理学 Q1 BUSINESS
M.S. Narassima, Vidyadhar Gedam, Angappa Gunasekaran, S.P. Anbuudayasankar, M. Dwarakanath
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引用次数: 1

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.
用模糊逻辑建立了一种新的共存弹性指标来评价行业供应链的弹性
本研究旨在探讨供应链弹性(SCR),并提供一个独特的弹性指标。这项工作测量了22个行业的37个组织的弹性状态,并提供了在不确定环境中访问供应链(SC)脆弱性的见解。设计/方法/方法本研究采用模糊逻辑的主观决策方法,对22个行业的37家组织的弹性状态进行了测量。来自行业的专家对33个SCR属性的重要性和实施水平进行了评级,这些属性被用来制定一个模糊的实施指标,解释组织的弹性状态。结果基于互惠关系计算了一个新的共存弹性指数,以显示组织在行业中各属性的贡献或学习比例。该研究将促进产业间的应对计划和战略联盟的形成。研究局限性/启示为各产业通过共存增强韧性提供了基于证据的解释和建议。独创性/价值这项工作对学术文献和SC战略有独特的贡献。新的共存弹性指数是基于互惠互利计算的,方便了研究人员对SC弹性的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
16.70
自引率
5.70%
发文量
27
期刊介绍: Supply Chain Management (SCM) is a journal that places great emphasis on research findings with international relevance and global impact, benefitting both theory and practice. To be considered for publication, research papers and case studies submitted to SCM must contribute to extending supply chain knowledge beyond a dyadic perspective. The journal focuses specifically on empirical research and does not accept submissions related to modelling or simulation. This is because the challenges posed by globalization and rapidly evolving technology trends have a direct impact on supply chain design and management. Therefore, it is essential for contemporary supply chain practices to be responsive, proactive, integrated, and driven by information when managing the various components of the supply chain.
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