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Evaluating the impact of flexible practices on the master surgical scheduling process: an empirical analysis

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  • Filippo Visintin

    (University of Florence)

  • Paola Cappanera

    (University of Florence)

  • Carlo Banditori

    (University of Florence)

Abstract

This study focuses on the master surgical scheduling problem and adds two main contributions. First, it presents a novel mixed integer programming model to support the master surgical schedule production. Second, it uses the model to investigate the impact, in terms of scheduled surgeries, of the flexible management of three critical resources, namely surgical teams, operating rooms and surgical units. Our analysis revealed that to maximise the number of surgeries scheduled, it is sufficient to introduce flexibility with respect to surgical teams and ORs. In fact, if both these resources are managed flexibly, then introducing flexibility with respect to surgical units carries no additional advantages. However, if surgical teams or ORs (or both) are not managed flexibly, then managing surgical units flexibly produces significant benefits. In addition, our study shows that if surgical teams cannot be managed flexibly, then introducing flexibility with respect to ORs yields significant benefits. Similarly, it reveals that if ORs cannot be managed flexibly, then introducing flexibility with respect to surgical teams yields significant benefits as well. The work is based on real data from the Meyer University Children’s Hospital in Florence.

Suggested Citation

  • Filippo Visintin & Paola Cappanera & Carlo Banditori, 2016. "Evaluating the impact of flexible practices on the master surgical scheduling process: an empirical analysis," Flexible Services and Manufacturing Journal, Springer, vol. 28(1), pages 182-205, June.
    • Handle: RePEc:spr:flsman:v:28:y:2016:i:1:d:10.1007_s10696-014-9208-9
    DOI: 10.1007/s10696-014-9208-9
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    References listed on IDEAS

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    1. Brian Denton & James Viapiano & Andrea Vogl, 2007. "Optimization of surgery sequencing and scheduling decisions under uncertainty," Health Care Management Science, Springer, vol. 10(1), pages 13-24, February.
    2. Elena Tànfani & Angela Testi, 2010. "A pre-assignment heuristic algorithm for the Master Surgical Schedule Problem (MSSP)," Annals of Operations Research, Springer, vol. 178(1), pages 105-119, July.
    3. Pablo Santibáñez & Mehmet Begen & Derek Atkins, 2007. "Surgical block scheduling in a system of hospitals: an application to resource and wait list management in a British Columbia health authority," Health Care Management Science, Springer, vol. 10(3), pages 269-282, September.
    4. Belien, Jeroen & Demeulemeester, Erik, 2007. "Building cyclic master surgery schedules with leveled resulting bed occupancy," European Journal of Operational Research, Elsevier, vol. 176(2), pages 1185-1204, January.
    5. Cardoen, Brecht & Demeulemeester, Erik & Beliën, Jeroen, 2010. "Operating room planning and scheduling: A literature review," European Journal of Operational Research, Elsevier, vol. 201(3), pages 921-932, March.
    6. Jeroen Oostrum & Eelco Bredenhoff & Erwin Hans, 2010. "Suitability and managerial implications of a Master Surgical Scheduling approach," Annals of Operations Research, Springer, vol. 178(1), pages 91-104, July.
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    8. Francesca Guerriero & Rosita Guido, 2011. "Operational research in the management of the operating theatre: a survey," Health Care Management Science, Springer, vol. 14(1), pages 89-114, March.
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    Cited by:

    1. Stefanini, Alessandro & Aloini, Davide & Benevento, Elisabetta & Dulmin, Riccardo & Mininno, Valeria, 2020. "A data-driven methodology for supporting resource planning of health services," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    2. Stock, Gregory N. & McDermott, Christopher & Anand, Gopesh, 2016. "Average surgeon-level volume and hospital performance," International Journal of Production Economics, Elsevier, vol. 182(C), pages 253-262.
    3. Wang, Lien & Demeulemeester, Erik & Vansteenkiste, Nancy & Rademakers, Frank E., 2024. "Capacity and surgery partitioning: An approach for improving surgery scheduling in the inpatient surgical department," European Journal of Operational Research, Elsevier, vol. 313(1), pages 112-128.
    4. Paola Cappanera & Filippo Visintin & Carlo Banditori, 2018. "Addressing conflicting stakeholders’ priorities in surgical scheduling by goal programming," Flexible Services and Manufacturing Journal, Springer, vol. 30(1), pages 252-271, June.
    5. Lien Wang & Erik Demeulemeester & Nancy Vansteenkiste & Frank E. Rademakers, 2022. "On the use of partitioning for scheduling of surgeries in the inpatient surgical department," Health Care Management Science, Springer, vol. 25(4), pages 526-550, December.
    6. Mariana Oliveira & Filippo Visintin & Daniel Santos & Inês Marques, 2022. "Flexible master surgery scheduling: combining optimization and simulation in a rolling horizon approach," Flexible Services and Manufacturing Journal, Springer, vol. 34(4), pages 824-858, December.
    7. Kamran Kianfar & Arezoo Atighehchian, 2023. "A hybrid heuristic approach to master surgery scheduling with downstream resource constraints and dividable operating room blocks," Annals of Operations Research, Springer, vol. 328(1), pages 727-754, September.
    8. 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.
    9. Belinda Spratt & Erhan Kozan, 2021. "An integrated rolling horizon approach to increase operating theatre efficiency," Journal of Scheduling, Springer, vol. 24(1), pages 3-25, February.

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