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Operating rooms scheduling under uncertainty

In: Advanced Decision Making Methods Applied to Health Care

Author

Listed:
  • Isabelle Beaulieu

    (HEC Montréal
    Université de Montréal)

  • Michel Gendreau

    (Université de Montréal
    Ecole Polytechnique)

  • Patrick Soriano

    (HEC Montréal
    Université de Montréal)

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.

Suggested Citation

  • Isabelle Beaulieu & Michel Gendreau & Patrick Soriano, 2012. "Operating rooms scheduling under uncertainty," International Series in Operations Research & Management Science, in: Elena Tànfani & Angela Testi (ed.), Advanced Decision Making Methods Applied to Health Care, chapter 0, pages 13-32, Springer.
    • Handle: RePEc:spr:isochp:978-88-470-2321-5_2
    DOI: 10.1007/978-88-470-2321-5_2
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    Citations

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    Cited by:

    1. Duma, Davide & Aringhieri, Roberto, 2019. "The management of non-elective patients: shared vs. dedicated policies," Omega, Elsevier, vol. 83(C), pages 199-212.
    2. Aringhieri, Roberto & Duma, Davide & Landa, Paolo & Mancini, Simona, 2022. "Combining workload balance and patient priority maximisation in operating room planning through hierarchical multi-objective optimisation," European Journal of Operational Research, Elsevier, vol. 298(2), pages 627-643.

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