Unveiling Supply Chain Nervousness: A Strategic Framework for Disruption Management under Fuzzy Environment

Abstract

Supply chains are increasingly vulnerable to disruptions due to the complex and interconnected nature of global business operations. Supply chain nervousness (SCN) leads to inefficiencies and disruptions in the flow of goods and services. Managing SCN is critical for sustaining the continuity of business operations in today’s dynamic and uncertain business environment. To address this issue, this study proposes a strategic framework that integrates key components of supply chain nervousness management and establishes a robust framework that prioritizes these factors based on their relative importance. By incorporating the fuzzy-ELECTRE methodology into the analysis, the proposed framework acknowledges the inherent uncertainties and imprecisions present in supply chain disruptions. It offers a systematic and comprehensive approach to prioritizing and managing SCN factors, considering both qualitative and quantitative assessments. To validate the effectiveness of the proposed framework, a case study is conducted in a real-world supply chain context. The results highlight demand variability as the factor with the greatest impact on SCN. Moreover, the results demonstrate the framework’s ability to effectively manage SCN by providing valuable insights for practitioners and researchers seeking to understand the causes of supply chain nervousness and mitigate its impact. The contributions of this research lie in providing decision-makers with a strategic framework for disruption management under fuzzy environments. The proposed approach enhances the understanding of SCN and enables proactive decision making to mitigate its negative consequences.