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A diving heuristic for planning and scheduling surgical cases in the operating room department with nurse re-rostering

Author

Listed:
  • Babak Akbarzadeh

    (Ghent University)

  • Ghasem Moslehi

    (Isfahan University of Technology)

  • Mohammad Reisi-Nafchi

    (Isfahan University of Technology)

  • Broos Maenhout

    (Ghent University)

Abstract

The decisions in the operating room scheduling process related to the case mix planning, the master surgery schedule and the nurse roster are based on the expected demand, predicted by historical data. Patients are only scheduled in the operational phase when the actual demand is known. However, the actual patient demand may differ from the expected demand. In this paper, we integrate the surgical case planning and scheduling problem and include the nurse re-rostering decision and nurse assignment to specific patients in order to utilise the operating room department as efficiently as possible and maximise the operating room profit. We propose a two-phase heuristic that uses the LP solution generated via column generation to construct a high-quality feasible solution. Computational experiments have been conducted on a diverse artificial data set generated in a controlled and structured manner and real-life data from the Sina Hospital (Tehran, Iran). We show that the presented approach is able to produce (near-)optimal solutions and benchmark the procedure with other optimisation strategies and solution methodologies.

Suggested Citation

  • Babak Akbarzadeh & Ghasem Moslehi & Mohammad Reisi-Nafchi & Broos Maenhout, 2020. "A diving heuristic for planning and scheduling surgical cases in the operating room department with nurse re-rostering," Journal of Scheduling, Springer, vol. 23(2), pages 265-288, April.
    • Handle: RePEc:spr:jsched:v:23:y:2020:i:2:d:10.1007_s10951-020-00639-6
    DOI: 10.1007/s10951-020-00639-6
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    References listed on IDEAS

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    Cited by:

    1. Sean Harris & David Claudio, 2022. "Current Trends in Operating Room Scheduling 2015 to 2020: a Literature Review," SN Operations Research Forum, Springer, vol. 3(1), pages 1-42, March.
    2. Omolbanin Mashkani & Andreas T. Ernst & Dhananjay Thiruvady & Hanyu Gu, 2023. "Minimizing patients total clinical condition deterioration in operating theatre departments," Annals of Operations Research, Springer, vol. 328(1), pages 821-857, September.
    3. Shao, Kaining & Fan, Wenjuan & Lan, Shaowen & Kong, Min & Yang, Shanlin, 2023. "A column generation-based heuristic for brachytherapy patient scheduling with multiple treatment sessions considering radioactive source decay and time constraints," Omega, Elsevier, vol. 118(C).

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