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An Integrated Model of Scheduling and Configuration of the Operating Theater

机译:手术室调度与配置的集成模型

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We present a multi-objective binary programming model which considers surgical cases scheduling among operating rooms and the configuration of surgical instruments in limited capacity hospital trays, simultaneously. Many mathematical models have been developed previously in the literature addressing different challenges in health-care logistics such as assigning operating rooms, leveling beds, and etc. But what happens inside the operating rooms along with the inventory management of required instruments for various operations, and also their integration with surgical scheduling have been poorly discussed. Our model considers the minimization of movements between trays during a surgery which recalls the famous cell formation problem in group technology. This assumption can also provide a major potential contribution to robotic surgeries. The tray configuration problem which consumes surgical instruments requirement plan (SIRP) and sequence of surgical procedures based on required instruments (SI-RO) is nested inside the bin packing problem. This modeling approach helps us understand that most of the same-output solutions will not be necessarily identical when it comes to the rearrangement of surgeries among rooms. A numerical example has been dealt with via a proposed nested simulated annealing (SA) optimization approach which provides insights about how various configurations inside a solution can alter the optimal condition.
机译:我们提出了一种多目标二进制编程模型,该模型同时考虑手术室之间的手术病例安排和有限容量的医院托盘中的手术器械配置。先前在文献中已经开发了许多数学模型来解决卫生保健物流中的不同挑战,例如分配手术室,平整床等。但是,在手术室内发生的事情以及各种操作所需的仪器的库存管理,以及也很少讨论它们与手术计划的集成。我们的模型考虑了手术期间托盘之间移动的最小化,这回想起了小组技术中著名的细胞形成问题。该假设还可以为机器人手术提供重要的潜在贡献。托盘配置问题嵌套在箱包装问题中,该托盘配置问题消耗了手术器械需求计划(SIRP)和基于所需器械的手术程序顺序(SI-RO)。这种建模方法有助于我们理解,在房间之间重新安排手术时,大多数相同输出解决方案不一定是相同的。通过提议的嵌套模拟退火(SA)优化方法处理了一个数值示例,该方法可提供有关解决方案内部各种配置如何更改最佳条件的见解。

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