Integrated Strategies for Building Resilient and Green Supply Chains with Graph Theory

In today’s world, there is a growing push to weave sustainability into supply chain operations while also preparing them to bounce back from unexpected disruptions. This study introduces a fresh approach that blends eco-friendly supply chain practices with disaster recovery plans, using the power of graph theory. Drawing from insights gathered over the past five years, we’ve built and tested various network designs to spot weak spots and understand how failures might ripple through. We’ve zoomed in on key players in the supply chain, using importance measures to see who holds the most influence in keeping things steady. Our comparison of centralized versus spread-out networks shows that while the latter might cost more, they shine in resilience and environmental care. Through simulated scenarios, we’ve seen how disruptions spread differently, with decentralized setups curbing the damage and speeding up recovery. This work offers a practical guide for decision-makers, highlighting how blending green goals with network strength can pay off. Future steps could involve real-time data and smart tech to predict challenges in complex logistics.