Supply chain risks are increasing in number and frequency due to the continuous state of uncertainty and instability of today’s world. The global interconnectivity increases supply chain pressure and makes them vulnerable to several disruptions. Natural and man-made disasters, pandemics, and political, financial, and legal crises can all disrupt supply chain performance. Most notably, during the COVID-19 pandemic, supply chains faced an extensive stress-test involving a series of shocks and collapses on an unparalleled scale. Traditional risk management approaches are insufficient in dealing with unpredictable disruptions, necessitating a focus on supply chain resilience. Supply chain resilience is the ability to withstand, adapt to, and recover from disruptions, ensuring operational continuity. Quantitative research using simulation models has emerged as a tool to assess supply chain resilience against various disruptions. This project aims to develop a methodological framework for stress-testing supply chains to assess and improve their resilience against future disruptions. The research questions focus on identifying key drivers of vulnerability, defining vulnerable suppliers, understanding supply chain responses to disruptions, and developing a resilient supply chain framework. The methodological design involves employing system dynamics simulation models, statistical analysis, and multi-criteria decision analysis to address these questions through case studies and framework development.