Conceptual modeling of factors affecting the resilience of the supply chain and ranking of medical equipment suppliers of Tehran Besat Hospital with the combined application of Fuzzy Delphi, PLS, and Improved TOPSIS

Objective: The primary objective of this study is to develop a conceptual model of the factors influencing supply chain resilience and to rank the medical equipment suppliers of Baqiyatallah Hospital in Tehran using a hybrid approach that combines Fuzzy Delphi, Partial Least Squares (PLS), and Improved TOPSIS.Methodology: This research is applied in terms of its purpose and descriptive in terms of data collection. Initially, the factors influencing supply chain resilience were identified and categorized based on a comprehensive review of the literature. Subsequently, the opinions of experts regarding these factors were analyzed using the Fuzzy Delphi method. The statistical population of this study comprises experts in the field of medical sciences, from whom 14 individuals were selected through purposive sampling.Findings: In the data analysis phase, twenty criteria were selected using the Fuzzy Delphi method. The conceptual model of the factors influencing supply chain resilience was then developed using the Partial Least Squares (PLS) approach, which resulted in the selection of thirteen key criteria for the final model. Furthermore, the ranking of medical equipment suppliers was conducted using the Improved TOPSIS method.Conclusion: The results of the conceptual model indicate that the criteria of backup plan development, recovery planning, disaster management (disaster planning and command), and supply chain network design ranked first to third, respectively, in terms of their impact on supply chain resilience.