Scheduling elective surgery under uncertainty and downstream capacity constraints
Scheduling elective surgery under uncertainty and downstream capacity constraints
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DOI：
10.1016/j.ejor.2010.03.014
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发表时间：
2010-11-01
影响因子：
6.4
通讯作者：
Yih, Yuehwern
中科院分区：
文献类型：
--
作者：
Min, Daiki;Yih, Yuehwern
这项研究的目的是为具有手术不确定性的择期手术患者生成最优的手术时间表，其中包括手术持续时间的不确定性和下游资源的可用性，如多个时期的外科重症监护病房(SICU)。采用随机优化方法，提出了样本平均近似(SAA)方法，以病人费用和加班费用的总费用最小为目标函数，求取最优手术计划。给出了一个计算实验来评估该方法的性能。(C)2010爱思唯尔B.V.保留所有权利。
The objective of this study is to generate an optimal surgery schedule of elective surgery patients with uncertain surgery operations, which includes uncertainty in surgery durations and the availability of downstream resources such as surgical intensive care unit (SICU) over multi-periods. The stochastic optimization is adapted and the sample average approximation (SAA) method is proposed for obtaining an optimal surgery schedule with respect to minimizing the total cost of patient costs and overtime costs. A computational experiment is presented to evaluate the performance of the proposed method. (C) 2010 Elsevier B.V. All rights reserved.