Service Quality Improvement in the Operating Rooms Using Optimization, Problematic Solved by a Discrete Particle Swarm and Queues Simulation Approaches

The good organization of the operating rooms is the key factor to improvepatient satisfaction. The deployedoptimization methods are implemented to guarantee the operating rooms management and ensure crucial productivity increase while ensuring the quality and safety of patient care. We study in this article a day scheduling problem concerning spreading surgeries in the operating rooms. We propose a new production model akin to a manufacturer of hybrid flow shop hierarchy. Concerning the operating time data that we use in the scheduling algorithm, we model the operating time of surgical intervention using fuzzy theory and we solve the scheduling problem by exposing a new approach based on the travelling salesman problem approach and the discrete particle swarm optimization algorithm developed in C++. We develop a simulation in C + + using the management of queues to allocate different actors and necessary means which both should be available for the unfolding of this optimum scheduling and to measure the maximum of patients that can be accepted a day.