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Addressing conflicting stakeholders’ priorities in surgical scheduling by goal programming

Author

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  • Paola Cappanera

    (University of Florence)

  • Filippo Visintin

    (University of Florence)

  • Carlo Banditori

    (University of Florence)

Abstract

In this study, we propose a mixed integer multi-objective model which allows determining the number and typology of surgeries to be scheduled in each OR, day and session of a multiple day planning period, in context where each OR session of the planning horizon has already been assigned to a specialty, with the (multiple) objective of obtaining a desired: (i) patient due date fulfilment rate, (ii) OR utilisation, (iii) bed utilisation, (iv) number of scheduled surgeries. These objectives, reflect heterogeneous priorities of different stakeholders of the surgical scheduling process. To address the described multi-objective problem, we use a goal programming approach and we show how the exploration of the weight space, typical of such approach, can be more efficient if informed by a correlation analysis. The results presented in this study are based on real data from the Meyer University Children’s Hospital in Florence.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:flsman:v:30:y:2018:i:1:d:10.1007_s10696-016-9255-5
    DOI: 10.1007/s10696-016-9255-5
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    References listed on IDEAS

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    1. 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.
    2. Jones, Dylan, 2011. "A practical weight sensitivity algorithm for goal and multiple objective programming," European Journal of Operational Research, Elsevier, vol. 213(1), pages 238-245, August.
    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. Cappanera, Paola & Visintin, Filippo & Banditori, Carlo, 2014. "Comparing resource balancing criteria in master surgical scheduling: A combined optimisation-simulation approach," International Journal of Production Economics, Elsevier, vol. 158(C), pages 179-196.
    5. Blake, John T. & Carter, Michael W., 2002. "A goal programming approach to strategic resource allocation in acute care hospitals," European Journal of Operational Research, Elsevier, vol. 140(3), pages 541-561, August.
    6. K F Lam, 2010. "In the determination of weight sets to compute cross-efficiency ratios in DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(1), pages 134-143, January.
    7. 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.
    8. Sebastian Rachuba & Brigitte Werners, 2014. "A robust approach for scheduling in hospitals using multiple objectives," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(4), pages 546-556, April.
    9. 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.
    10. Dylan Jones & Mehrdad Tamiz, 2010. "Practical Goal Programming," International Series in Operations Research and Management Science, Springer, edition 1, number 978-1-4419-5771-9, April.
    11. Jebali, AIda & Hadj Alouane, Atidel B. & Ladet, Pierre, 2006. "Operating rooms scheduling," International Journal of Production Economics, Elsevier, vol. 99(1-2), pages 52-62, February.
    12. M Zohrehbandian & A Makui & A Alinezhad, 2010. "A compromise solution approach for finding common weights in DEA: an improvement to Kao and Hung's approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(4), pages 604-610, April.
    13. Guinet, Alain & Chaabane, Sondes, 2003. "Operating theatre planning," International Journal of Production Economics, Elsevier, vol. 85(1), pages 69-81, July.
    14. Mengyu Guo & Su Wu & Binfeng Li & Jie Song & Youping Rong, 2016. "Integrated scheduling of elective surgeries and surgical nurses for operating room suites," Flexible Services and Manufacturing Journal, Springer, vol. 28(1), pages 166-181, June.
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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. Aisha Tayyab & Saif Ullah & Mohammed Fazle Baki, 2023. "An Outer Approximation Method for Scheduling Elective Surgeries with Sequence Dependent Setup Times to Multiple Operating Rooms," Mathematics, MDPI, vol. 11(11), pages 1-15, May.
    3. Filipe Alves & Lino A. Costa & Ana Maria A. C. Rocha & Ana I. Pereira & Paulo Leitão, 2022. "The Sustainable Home Health Care Process Based on Multi-Criteria Decision-Support," Mathematics, MDPI, vol. 11(1), pages 1-19, December.
    4. 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.
    5. Şeyda Gür & Tamer Eren, 2018. "Scheduling and Planning in Service Systems with Goal Programming: Literature Review," Mathematics, MDPI, vol. 6(11), pages 1-16, November.
    6. Sara Vannelli & Filippo Visintin & Clio Dosi & Laura Fiorini & Erika Rovini & Filippo Cavallo, 2024. "A Framework for the Human-Centered Design of Service Processes Enabled by Medical Devices: A Case Study of Wearable Devices for Parkinson’s Disease," IJERPH, MDPI, vol. 21(10), pages 1-30, October.

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