SUPPLY CHAIN RESILIENCE: STRATEGIES FOR MITIGATING DISRUPTION IN A GLOBAL WORLD

Authors

  • Dr. Ranjeeta Phukan Author
  • Mr. Devender Kumar Author

DOI:

https://doi.org/10.64751/ijdim.2025.v4.n3.pp287-294

Abstract

Supply chain resilience has become a key focus of business, policymakers, and governments in an increasingly interconnected global economy. The occurrence and severity of interruptions including the COVID-19 pandemic, geopolitical disputes, climate-related incidents, and cybersecurity attacks have highlighted the weaknesses of the conventional supply chain systems. This paper starts with a review of the literature on resilience, its major frameworks, which focus on flexibility, redundancy, visibility, collaboration, and digital transformation. It subsequently adopts a mixed-method approach by incorporating secondary data in the form of industry reports in addition to the analysis of case studies of multinational corporations. The results show that resilient supply chains are not defined as risk-free but resilient in terms of their capacity to predict, absorb, adapt, and recover shocks. There are graphical illustrations and tabular summaries that show significant disruption drivers and recovery trends. The analysis shows that digitalization, predictive analytics, multisourcing, nearshoring and collaborative risk-sharing arrangements are key drivers in establishing adaptive capacity. Nonetheless, the strategies of resilience need to be applied in a setting-specific manner as companies across various fields and locations have specific weaknesses. The paper ends with business and policy recommendations that focus on technology investment, enhanced partnerships, and sustainability. Organizations can protect continuity, minimize vulnerabilities, and remain competitive in a turbulent international environment by promoting resilience thinking

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Published

2025-09-16

How to Cite

Dr. Ranjeeta Phukan, & Mr. Devender Kumar. (2025). SUPPLY CHAIN RESILIENCE: STRATEGIES FOR MITIGATING DISRUPTION IN A GLOBAL WORLD. International Journal of Data Science and IoT Management System, 4(3), 287–294. https://doi.org/10.64751/ijdim.2025.v4.n3.pp287-294