In recent years, increasing environmental fluctuations, resource constraints, and crises such as the COVID-19 pandemic have increased the need to design sustainable and resilient supply chains. considering the dimensions of the circular economy, the concepts of the Fifth Industrial Revolution, and conditions of combined uncertainty. The main innovation of the study is the linking of the results of multi-criteria decision-making with a multi-objective model and the simultaneous operationalization of the circular economy and the components of the Fifth Industrial Revolution in network design. In the first stage, the criteria and sub-criteria for evaluating distribution centers in the dimensions of sustainability, resilience, agility, digitalization, human-centeredness, and circular economy were identified and weighted using the best-worst fuzzy-stochastic method. Then, distribution centers and sales channels were ranked using the fuzzy-random TOPSIS method. Next, a multi-objective mathematical model was developed for the design of a closed-loop supply chain network that considers forward and reverse flows, supplier selection, capacity allocation, development of collection and recycling centers, and establishment of an information sharing system under uncertainty. The proposed model was solved using a modified lexicographic-Chebishof multi-option goal programming method and its case study was conducted at Behran Oil Company. The results showed that the resilience criterion is the most important in the evaluation of distribution centers, and the use of alternative suppliers, excess capacity, and information sharing system play an effective role in promoting resilience, sustainability, and network efficiency. The results confirm the effectiveness of the proposed framework in improving resilience, sustainability, and network efficiency.