<p>The assessment of medical equipment suppliers is a critical activity in most hospitals. This research, therefore, aims to determine the main factors affecting supplier performance and then evaluate and select medical equipment suppliers using structural equation modelling (SEM), fuzzy slack-based model (SBM), and super SBM (SSBM) in Data Envelopment Analysis (DEA). SEM was used to determine the important relationships between the key independent factors, including supplier quality measured by product and service quality, resilient maintenance, product price, and delivery time, with the dependent factor, supplier performance. Then, the fuzzy SBM and SSBM were employed to evaluate and rank supplier efficiency and then determine slacks of input excesses and output shortages for each supplier. Twelve public and private hospitals assessed forty-three item measures of model factors for 15 suppliers. The SEM results showed that all evaluation factors affected significantly supplier performance. Further, resilient maintenance and supplier quality were the most influential factors in their assessment. Next, the factors studied were utilized as inputs and outputs in SBM to estimate supplier efficiency. The SEM results revealed only four SBM-efficient suppliers. Thus, SSBM was used to rank those suppliers. Finally, slacks representing input excesses and output shortages were estimated for each inefficient supplier. In conclusion, SEM and fuzzy DEA are found to be effective approaches that can support decision-makers in identifying key factors affecting supplier performance and selecting adequate suppliers in the healthcare industry. Finally, the efficiency and factor slacks can provide important feedback to suppliers on how to enhance their competitive advantages.</p>