A Cooperative Control Model Foroperating Theaterscheduling

Abstract

The efficient management of a surgical block must allow to the realization of pre-planned surgical procedures but also to cope with all the aleas and disturbances as emergencies or late cancellations and this by adapting dynamically the schedule already in progress. This study focuses on the local cooperative control model to manage the surgical operating room process in the completion phase. More precisely: An application of the Contract Net Protocol (CNP) for task decomposition and task assignment in multi-agent systems is presented; we show that it can be used to get the best real-time solution in terms of cost for the assignment of emergency surgery that can happen at any time of the day. By the use at any time of the auction protocols algorithm called “simulated trading” (ST), the schedule for remaining time can be improved significantly. The solution of the rescheduling problem emerges from local decision-making and problem-solving rules. Since the local cooperative control system will include policies that optimize local performance and responsiveness. MAS solve the problem of dynamic planning by controlling the progress of the process during the day. Thus, it is designed as an online system with anytime algorithms. The proposed control model, which is still lacking today, is required to address uncertainties inherent in the surgical block process. Research focus: distributed task allocation with multi-agent systems