AI-Enhanced Resilience: Evaluating Supply Chain Vulnerabilities Amidst Global Disruptions


  • Kurt Jensen, Samrat Kumar Department of Computer Science, University of California, USA


Supply chain, resilience, global disruptions, artificial intelligence, vulnerabilities, risk management


The modern interconnected global economy faces unprecedented challenges in maintaining resilient supply chains amidst frequent disruptions. Factors such as natural disasters, geopolitical tensions, pandemics, and technological advancements contribute to the complexity and vulnerability of supply chains. In this context, leveraging artificial intelligence (AI) presents a promising approach to evaluate and enhance supply chain resilience. This paper examines the role of AI in assessing and mitigating vulnerabilities within supply chains amidst global disruptions. It investigates how AI technologies, including machine learning algorithms, predictive analytics, and simulation models, can provide valuable insights into identifying vulnerabilities and predicting potential disruptions. By analyzing vast amounts of data from various sources such as historical records, real-time information, and market trends, AI systems can help organizations proactively identify weak links in their supply chains and develop strategies to mitigate risks. These include demand forecasting, inventory optimization, risk assessment, and adaptive decision-making mechanisms. By automating routine tasks and providing decision support, AI enables supply chain managers to respond swiftly to changing circumstances and optimize resource allocation in real-time. This paper underscores the significant potential of AI in evaluating and enhancing supply chain resilience amidst global disruptions. By harnessing the power of AI technologies, organizations can better anticipate, adapt to, and recover from unforeseen challenges, ultimately ensuring the continuity of operations and the delivery of essential goods and services to customers worldwide.