In order to solve the problem that it was difficult to effectively coordinate the maintenance of diagnosis and treatment equipment and inpatient waiting, this paper established a joint optimization model. Firstly, assuming that the equipment had discrete deterioration state, it modeled the deterioration process of the equipment as a continuous time Markov chain. Se-condly, considering the different functional frequency requirements of patients for diagnosis and treatment equipment and the impact of different deterioration states on patients' treatment time and cost, it established the equipment maintenance and patient scheduling model with patients' treatment order, inspection strategy and repair strategy as decision variables. Finally, this paper used the improved non dominated sorting genetic algorithm to solve the multi-objective problem. The experimental results verify the effectiveness of the joint optimization model of equipment maintenance and patient scheduling. The improved algorithm improves the overall and local search ability, and has robustness.

[2021-10-08] Accepted Paper /doc/2021.06.0224/v1

[2022-01-05] Printed Article /doc/2021.06.0224/v2