Supply Chain Resilience

Supply chain resilience focuses on designing and managing supply chains to withstand and recover from disruptions, aiming to minimize economic losses and maintain operational continuity. Current research emphasizes leveraging data-driven approaches, including machine learning (e.g., neural networks, reinforcement learning), agent-based simulations, and knowledge graphs, to predict disruptions, optimize inventory and routing, and develop proactive mitigation strategies. These advancements are crucial for enhancing the robustness of global supply chains, improving decision-making under uncertainty, and ultimately contributing to greater economic stability and security.