In this paper, we design a resilient supply chain by determining risks, prioritizing resilient strategies, and also determining the relationships between them using the Quality Function Deployment (QFD) method during Covid-19. Moreover, those strategies with required further attention to minimize supply chain risks are determined by applying the Linear Physical Programming (LPP) approach, which is a flexible and easy approach in order to determine the accurate weights in the objective space. This research contributes to the growing literature on the resilient supply chain to demonstrate how to develop a mathematical model for designing a resilient supply chain using QFD and LPP methods during Covid-19. Based on the obtained results, three strategies play a crucial role in reducing the supply chain risks of a pharmaceutical company and also increasing its supply chain resilience based on the results: implementing appropriate and relevant policies in terms of the number and selection of suppliers, employing up-to-date procedures in pricing and market analysis, upgrading supply chain agility to cope with natural disasters. Hence, this study can bring important insights to managers and professionals involving with the supply chain area to use them in applying appropriate strategies while facing supply chain risks.