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Surgical case scheduling with sterilising activity constraints

机译:具有消毒活动约束的手术病例计划

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In this paper, we study a real scheduling problem which consists in scheduling a set of elective surgical cases requiring surgical instruments and tools in several operating rooms. The objectives are to minimise the overtime of the surgical unit staff, the number of operating rooms used and the number of instruments processed in emergency in the sterilising unit while respecting the current level of service represented by the total number of patients operated per month at the orthopaedic surgery unit. This research was performed in collaboration with the University Hospital of Angers in France (CHU Angers), which has also provided historical data for the experiments. We propose a mixed integer linear programming model for the problem which is solved in a lexicographic fashion. We also propose a robust formulation to deal with the uncertain surgery durations. Both the deterministic and robust formulations are then compared over a set of instances provided by the CHU. The solutions obtained are competitive in terms of number of operating rooms and significantly improve those implemented operationally at the CHU in terms of overtime and emergencies at the sterilising unit.
机译:在本文中,我们研究了一个实际的调度问题,其中包括在几个手术室中调度一组需要手术器械和工具的选择性手术病例。目的是最大程度地减少手术室工作人员的加班时间,所用手术室的数量以及在消毒室中紧急情况下处理的器械的数量,同时尊重当前服务水平,该水平由每月在该医院接受手术的患者总数代表骨科手术室。这项研究是与法国昂热大学医院(CHU Angers)合作进行的,该大学也为实验提供了历史数据。针对按字典顺序解决的问题,我们提出了一个混合整数线性规划模型。我们还提出了一种可靠的方法来应对不确定的手术时间。然后,在CHU提供的一组实例中比较确定性公式和健壮公式。所获得的解决方案在手术室数量方面具有竞争力,并且在加湿站的灭菌单元的加班和紧急情况方面大大改善了这些解决方案。

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