Supply Chain Resilience Assessment in the 4.0 Era

This scientific paper introduces a comprehensive and innovative fuzzy logic model for evaluating supply chain resilience, incorporating key criteria such as Agility, Coordination, Innovativeness and visibility while leveraging concepts from the industry 4.0 paradigm. The proposed model offers a nuanced and adaptable approach to measure resilience while considering the dynamic and interconnected nature of modern supply chains. By integrating fuzzy logic principles, the model accommodates the inherent uncertainties and imprecise nature of real-world supply chain data, providing a more realistic and flexible framework for resilience assessment. the inclusion of Agility emphasizes the supply chain ability to swiftly adapt to unexpected disruptions, Coordination evaluates the seamless collaboration among various entities within the supply chain, and Innovativeness addresses the necessity for backup resources and alternative pathways. The incorporation of Industry 4.0 principles enhances the model relevance in the contemporary business landscape, where advanced technologies such as the Internet of Things (IoT), artificial intelligence, and data analytics play pivotal roles in shaping supply chain dynamics. The model acknowledges the transformative impact of these technologies on supply chain operations, making it well-suited for addressing the challenges and opportunities presented by the ongoing digital revolution. As organizations increasingly strive for resilience in the face of global uncertainties, the presented model offers a valuable tool for practitioners, researchers, and policymakers to assess and enhance supply chain resilience.