Evaluate the impact of COVID-19 prevention policies on supply chain aspects under uncertainty

Supply chain operations are disrupted due to natural disasters or epidemics. In the recent period, the supply chain suffers from obstacles and major challenges that affect its stages directly due to the spread of the COVID-19 epidemic around the world. The impact of this epidemic on supply chain performance is clear in terms of supply, demand, or logistics. This epidemic is characterized by a rapid spread, so countries have taken preventive policies in an attempt to limit its spread. These policies are direct impacts on the performance of the supply chain in all scopes. The extent of its impact varies from one supply chain to another, according to the activities that the supply chain provides. In order to provide a more accurate study of the impact of the measures taken to limit the spread of the epidemic, this research presents a proposed framework that evaluates the impact of these policies on the three main aspects of the supply chain (supply, demand, and logistics). The proposed framework is build using BWM and TOPSIS based on plithogenic set. Plithogenic set provides a more accurate evaluation result that addresses the uncertainty problem. Supply chain aspects were evaluated for the food industry, electronics industry, pharmaceutical industry, and textile industry.