Scheduling elective surgery under uncertainty and downstream capacity constraints

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 stoc...

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Bibliographic Details
Published in:European journal of operational research 2010-11, Vol.206 (3), p.642-652
Main Authors: Min, Daiki, Yih, Yuehwern
Format: Article
Language:English
Subjects:
Applied sciences
Approximation
Biological and medical sciences
Downstream resource constraint
Economy. Management
Elective surgery
Exact sciences and technology
Health and social institutions
Mathematical programming
Medical sciences
Operational research and scientific management
Operational research. Management science
Optimization
Public health. Hygiene
Public health. Hygiene-occupational medicine
Scheduling
Scheduling, sequencing
Stochastic models
Stochastic programming
Studies
Surgery
Surgery scheduling problem
Surgery scheduling problem Downstream resource constraint Stochastic programming
Uncertainty
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Summary: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.
ISSN:0377-2217
1872-6860
DOI:10.1016/j.ejor.2010.03.014