Developing Agility, Resilience, and Circular Economy Decision-Making Model Based on Data Envelopment Analysis for Evaluating Medical Equipment Suppliers

In today’s complex and fast-paced world, supply chain management, especially in the medical equipment sector, has become one of the fundamental challenges for organizations. Selecting appropriate suppliers who can meet various indicators such as quality, agility, resilience, and circular economy is of great importance. This study aims to evaluate and prioritize suppliers of medical equipment (knee prostheses). Initially, key supplier evaluation indicators were identified and categorized into four main dimensions: resilience, agility, circular economy, and general indicators. Then, using the fuzzy best–worst method (FBWM), the weight of each indicator was calculated to determine their relative importance in supplier evaluation. Finally, by employing the fuzzy data envelopment analysis (FDEA) method, suppliers were prioritized based on the weighted indicators. The research findings indicate that the significant categories, in order of importance, include resilience, generality, agility, and circular economy. Additionally, among the main indicators for evaluating crisis management suppliers, robustness and quality are paramount. The results show that in the field of assessing medical equipment suppliers, resilience and related quality indicators hold greater significance. This multi-criteria approach helps organizations to improve the efficiency and sustainability of their supply chains through a more comprehensive evaluation of their suppliers, ultimately ensuring customer satisfaction and long-term success. The findings of this study can serve as an effective guide for managers in selecting strategic suppliers in the medical equipment field.