Sh. Ghasemi - School of Industrial and Systems Engineering, College of Engineering, University of Tehran, Tehran, Iran.
A. Aghsami - School of Industrial Engineering, Khajeh Nasir Toosi University of Technology, Tehran, Iran.
M. Rabbani - School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran.

Data Envelopment Analysis (DEA) is one of the non-parametric methods for evaluating each unit's efficiency. Limited resources in the healthcare system are the main reason for measuring the efficiency of hospitals. Because Operating Rooms (OR) are the most vital part of any hospital, we determine the factors affecting operating rooms' efficiency and evaluate the performance and ranking of operating rooms in ۱۰ of Tehran's largest hospitals. This model's inputs include accuracy in scheduling surgeries, average turnover time, number of successful surgeries and live patients, number of canceled surgeries, number of surgical errors, and number of emergency surgery. Also, outputs consist of the number of operating rooms and equipment, the average number of beds, the number of employees, and the patient satisfaction rate. First, we determine the weight of inputs and outputs by Group Analytic Hierarchy Process (GAHP) with considering experts' ideas in ۱۰ hospitals; then, we utilize three types of DEA model which are input-oriented CCR (CCR-I), output-oriented CCR (CCR-O), input-output oriented CCR (CCR_IO) and AP models to estimate the efficiency of ORs and rank them.

Performance Evaluation, Data Envelopment Analysis, Ranking operating rooms, Sensitivity analysis