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A real-time reactive framework for the surgical case sequencing problem

Author

Listed:
  • Belinda Spratt

    (Queensland University of Technology (QUT))

  • Erhan Kozan

    (Queensland University of Technology (QUT))

Abstract

In this paper, we address the multiple operating room (OR) surgical case sequencing problem (SCSP). The objective is to maximise total OR utilisation during standard opening hours. This work uses a case study of a large Australian public hospital with long surgical waiting lists and high levels of non-elective demand. Due to the complexity of the SCSP and the size of the instances considered herein, heuristic techniques are required to solve the problem. We present constructive heuristics based on both a modified block scheduling policy and an open scheduling policy. A number of real-time reactive strategies are presented that can be used to maintain schedule feasibility in the case of disruptions. Results of computational experiments show that this approach maintains schedule feasibility in real-time, whilst increasing operating theatre (OT) utilisation and throughput, and reducing the waiting time of non-elective patients. The framework presented here is applicable to the real-life scheduling of OT departments, and we provide recommendations regarding implementation of the approach.

Suggested Citation

  • Belinda Spratt & Erhan Kozan, 2021. "A real-time reactive framework for the surgical case sequencing problem," Flexible Services and Manufacturing Journal, Springer, vol. 33(1), pages 183-211, March.
    • Handle: RePEc:spr:flsman:v:33:y:2021:i:1:d:10.1007_s10696-019-09371-6
    DOI: 10.1007/s10696-019-09371-6
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    References listed on IDEAS

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    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. Bing Wang & Xingbao Han & Xianxia Zhang & Shaohua Zhang, 2015. "Predictive-reactive scheduling for single surgical suite subject to random emergency surgery," Journal of Combinatorial Optimization, Springer, vol. 30(4), pages 949-966, November.
    3. Davide Duma & Roberto Aringhieri, 2018. "The Real Time Management of Operating Rooms," International Series in Operations Research & Management Science, in: Cengiz Kahraman & Y. Ilker Topcu (ed.), Operations Research Applications in Health Care Management, chapter 0, pages 55-79, Springer.
    4. Michael Samudra & Carla Van Riet & Erik Demeulemeester & Brecht Cardoen & Nancy Vansteenkiste & Frank E. Rademakers, 2016. "Scheduling operating rooms: achievements, challenges and pitfalls," Journal of Scheduling, Springer, vol. 19(5), pages 493-525, October.
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    Cited by:

    1. Gökalp, E. & Gülpınar, N. & Doan, X.V., 2023. "Dynamic surgery management under uncertainty," European Journal of Operational Research, Elsevier, vol. 309(2), pages 832-844.

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