  The surgical department and adequate access to health care are critical
problems. The operating room plays a fundamental role in the performance of a
hospital. The real problem faces several issues to collect data and optimize
scheduling and planning. In this paper, the planning and integral scheduling
problems were taken into consideration including surgeon work times, patients'
surgery priority, and preparation time of the operation room after each
surgery. Based on this, two mathematical models have been developed. The first
model is a mixed-integer programming model that minimizes the total patient
waiting time. This model was designed for three sections: Public Health Unit
(PHU), Operating Rooms, and Post Anesthesia Care Unit (PACU). This model
includes scheduling, allocating surgery personnel, and sequencing the groups of
patients in each section. The decision-makers, for patients, demonstrate the
experts would determine some priorities. The service times for the patients at
every stage are affected by the proficiency of surgery personnel. In the second
model, a robust optimization approach has been used due to overcoming the
uncertain surgery times. The proposed robust model indicated that the
fluctuations of solutions in the future are less than the deterministic model
at an acceptable level. The computational results reveal some good managerial
insights for hospital administrators. The managers could use this model to
improve system management, quality of services to patients, and patient
satisfaction.

Signal Processing;Optimization and Control