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- W2950200105 abstract "Operating rooms provide crucial health services and generate significant hospital revenue. Itis challenging to use operating rooms efficiently due to uncertainty in surgery durations andemergency patient arrivals. In this dissertation, we propose an operating room schedulingmodel that integrates the tactical decisions of assigning operating rooms to departments andthe operational decisions of scheduling both planned and emergency patients. Our goal is tominimize the expected undertime of the operating rooms while ensuring that the probabilityof overtime is sufficiently small. We model the operating room scheduling problem as a threestagedecision problem and formulate it as a two-stage stochastic mixed-integer program. Wethen present two generalized value function reformulations that convert the model to a purebinary program. We propose a novel dynamic program to calculate the value functions.We show that our approach gives optimal scheduling policies in a reasonable amount oftime. We present numerical studies using operational data from a major hospital thatdemonstrate the value of the integration of block assignments and considering emergencysurgery arrivals. Furthermore, we investigate the properties of generalized value functionsand provide reformulations for stochastic mixed-integer programming and multi-followerbilevel mixed-integer programming problems. We finally present the exact set of objectivesthat make a given solution uniquely optimal through inverse optimization." @default.
- W2950200105 created "2019-06-27" @default.
- W2950200105 creator A5004877813 @default.
- W2950200105 date "2019-06-19" @default.
- W2950200105 modified "2023-09-27" @default.
- W2950200105 title "Operating Room Scheduling and Integrated Block Assignments under Emergency Arrivals" @default.
- W2950200105 hasPublicationYear "2019" @default.
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