This study aims to develop alternative configurations of supply chain resilience (SCRES) strategies to enhance supply chain performance (SCP) during severe disruptions. The research employs a multi-method and multi-study approach, including qualitative interviews, quantitative case studies using Quality Function Deployment (QFD), and Fuzzy Set Qualitative Comparative Analysis (fsQCA). The study identifies 14 risk factors and 12 resilience strategies from the COVID-19 pandemic, prioritizes these factors and strategies through QFD, and uses fsQCA to determine the most effective configurations of strategies to improve SCP. The findings reveal that implementing resilience strategies alone is ineffective, while combining these strategies with risk negation enhances SCP. Two alternative configurations of resilience strategies are identified to address relevant risk factors, providing flexibility for managers to choose the most suitable configuration for their supply chains. The study contributes to the literature by offering a holistic decision model for managing supply chain risks and improving performance, and by demonstrating the importance of combining risk and resilience strategies to achieve high SCP.This study aims to develop alternative configurations of supply chain resilience (SCRES) strategies to enhance supply chain performance (SCP) during severe disruptions. The research employs a multi-method and multi-study approach, including qualitative interviews, quantitative case studies using Quality Function Deployment (QFD), and Fuzzy Set Qualitative Comparative Analysis (fsQCA). The study identifies 14 risk factors and 12 resilience strategies from the COVID-19 pandemic, prioritizes these factors and strategies through QFD, and uses fsQCA to determine the most effective configurations of strategies to improve SCP. The findings reveal that implementing resilience strategies alone is ineffective, while combining these strategies with risk negation enhances SCP. Two alternative configurations of resilience strategies are identified to address relevant risk factors, providing flexibility for managers to choose the most suitable configuration for their supply chains. The study contributes to the literature by offering a holistic decision model for managing supply chain risks and improving performance, and by demonstrating the importance of combining risk and resilience strategies to achieve high SCP.