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Complexity of surgery scheduling reduces surgical staff efficiency and patient satisfaction. Nurses and surgeons face extreme workload every day, whose schedules can be improved by correct scheduling of surgeries. This paper addresses integrated scheduling of operating rooms, nurses, and surgeons aiming to minimize makespan and maximize patient satisfaction and surgical teams’ affinity. A constraint programming model and a hybrid method of NSGA-II and multi-objective dragonfly algorithm (MODA) are developed. Results indicate that high-quality solutions for problem instances with up to 150 surgeries are obtained by the CP model in less than 500 seconds. Superiority of the proposed meta-heuristic method compared to NSGA-II, MODA, SPEA-2, and a hybrid of NSGA-II and SPEA-2 is also shown.

Integrated surgery scheduling by constraint programming and meta-heuristics