Operating rooms scheduling under uncertainty

Isabelle Beaulieu (), Michel Gendreau () and Patrick Soriano ()
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Isabelle Beaulieu: HEC Montréal
Michel Gendreau: Université de Montréal
Patrick Soriano: HEC Montréal

Chapter Chapter 2 in Advanced Decision Making Methods Applied to Health Care, 2012, pp 13-32 from Springer

Abstract: Abstract Operating rooms (OR) are considered as one of themost resource consuming services of hospitals. OR managers must face conflicting constraints in order to build schedules which maximize resources utilization while minimizing cancellations and overtime. In this work, a four steps approach is proposed. First, surgery cases are assigned to a given day. Second, they are scheduled according to different strategies, which are evaluated through a simulation tool in the third step. If needed, feedback and rescheduling occur in the fourth step. Uncertainty is taken into consideration implicitly twice. First through the load level of the schedule built during the assignment problem and second, in the simulation step. Each scheduling strategy is evaluated according to different performance criteria. Computational experiments performed on sixteen sets of randomly generated data (based on real data provided by a large hospital center located in Montreal) are used to compare the different strategies.

Keywords: surgery planning; case assignment problem; scheduling criteria; detailed surgery schedules; operating rooms; stochastic surgery times; integer programming; simulation (search for similar items in EconPapers)
Date: 2012
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DOI: 10.1007/978-88-470-2321-5_2

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