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Inconsistent Objectives in Operating Room Scheduling

机译:手术室调度中的目标不一致

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The efficient scheduling of operating room (OR) slates is critical in a hospital setting, especially given OR slates are linked with preoperative and postoperative services. Wait list minimization is a common goal in OR scheduling, one that is broadly defined and can be achieved from many perspectives. Due to the complexity of OR scheduling, and the absence of industrial engineering techniques in healthcare environments, simple rules are often used in scheduling OR slates - typically, the shortest processing time (SPT) rule and the longest processing time (LPT) rule. The SPT and LPT rules, however, have conflicting outcomes in sequencing surgeries. The application of these rules causes confusion in scheduling OR slates. In this paper, we examine wait list minimization from an operations research perspective, explain why SPT and LPT rules are used to achieve this goal, and discuss their conflicting effect on scheduling performance. We also propose a state space with head, body, and tail (SS-HBT) heuristic as an alternative means to achieve this goal. Through case studies, we show that when applied to scheduling OR slates, our SS-HBT heuristic outperforms two well-established heuristics for wait list minimization.
机译:手术室(OR)板岩的有效调度在医院环境中至关重要,特别是考虑到OR板岩与术前和术后服务相关。等待列表最小化是OR调度中的一个常见目标,这一目标已得到广泛定义,并且可以从许多角度实现。由于OR调度的复杂性以及医疗保健环境中缺乏工业工程技术,因此在OR板岩调度中通常使用简单的规则-通常,最短的处理时间(SPT)规则和最长的处理时间(LPT)规则。但是,SPT和LPT规则在测序手术中有相互矛盾的结果。这些规则的应用导致调度OR板岩时出现混乱。在本文中,我们从运筹学的角度研究了等待列表最小化,解释了为什么使用SPT和LPT规则来实现此目标,并讨论了它们对调度性能的冲突影响。我们还提出了一种具有头,身体和尾巴(SS-HBT)启发式的状态空间,作为实现此目标的替代方法。通过案例研究,我们表明,将SS-HBT启发式算法应用于调度OR板岩时,其性能优于两个公认的最小化等待列表的启发式算法。

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