Building a Resilient and Robust Supply Chain with Enhanced Resistance

In an era marked by uncertainty and disruption, supply chain (SC) resilience and robustness have become strategic imperatives. This study introduces the Supply Chain Resistance Index (SCRESIS Index), which was developed employing simulation methods. Digital Twin and artificial neural network technologies are conceptually discussed as potential enablers for future applications; however, they are not implemented in this study. The proposed framework enhances adaptability and stability by integrating resilience and robustness. The results demonstrate that combining rapid adaptation with structural resistance provides a competitive advantage in volatile environments.