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Operating room scheduling with surgical team: a new approach with constraint programming and goal programming

Author

Listed:
  • Şeyda Gür

    (Organized Industrial Zone Vocational School)

  • Mehmet Pınarbaşı

    (Kırıkkale University)

  • Hacı Mehmet Alakaş

    (Kırıkkale University)

  • Tamer Eren

    (Kırıkkale University)

Abstract

In recent years, there has been a significant increase in health expenditures due to population growth. In this context, hospital administrators have started to look for ways to use existing resources effectively. Operating rooms are one of the most important units of a hospital. The efficient use of these units is seen as a decrease in cost items and an increase in revenues. At this point, it is aimed to use the operating rooms effectively in this study. The fact that it contains many uncertainties and many stakeholders in its structure complicates the solution process of the operating room scheduling problem. In this study, planning was made that considered the uncertainty in the operation times and the surgeons, nurses, and anesthesiologists in the surgical team. To solve the problem, the logical modeling power of the constraint programming method and the power of the goal programming method to stretch rigid constraints were utilized. In the first stage, the balanced assignment of the surgical team (surgeon–nurse–anesthesiologist) was carried out, while in the second stage, operations were assigned to the operating rooms. The proposed model was evaluated according to the operating rooms' utilization rates and the solution's effectiveness. The results showed that the proposed model successfully created an effective and efficient schedule.

Suggested Citation

  • Şeyda Gür & Mehmet Pınarbaşı & Hacı Mehmet Alakaş & Tamer Eren, 2023. "Operating room scheduling with surgical team: a new approach with constraint programming and goal programming," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(4), pages 1061-1085, December.
    • Handle: RePEc:spr:cejnor:v:31:y:2023:i:4:d:10.1007_s10100-022-00835-z
    DOI: 10.1007/s10100-022-00835-z
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    References listed on IDEAS

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    1. Şeyda Gür & Tamer Eren & Hacı Mehmet Alakaş, 2019. "Surgical Operation Scheduling with Goal Programming and Constraint Programming: A Case Study," Mathematics, MDPI, vol. 7(3), pages 1-24, March.
    2. M Arenas & A Bilbao & R Caballero & T Gómez & M V Rodríguez & F Ruiz, 2002. "Analysis via goal programming of the minimum achievable stay in surgical waiting lists," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(4), pages 387-396, April.
    3. Shuwan Zhu & Wenjuan Fan & Shanlin Yang & Jun Pei & Panos M. Pardalos, 2019. "Operating room planning and surgical case scheduling: a review of literature," Journal of Combinatorial Optimization, Springer, vol. 37(3), pages 757-805, April.
    4. A. Charnes & W. W. Cooper, 1959. "Chance-Constrained Programming," Management Science, INFORMS, vol. 6(1), pages 73-79, October.
    5. Yao Xiao & Reena Yoogalingam, 2021. "Reserved capacity policies for operating room scheduling," Operations Management Research, Springer, vol. 14(1), pages 107-122, June.
    6. Di Martinelly, Christine & Meskens, Nadine, 2017. "A bi-objective integrated approach to building surgical teams and nurse schedule rosters to maximise surgical team affinities and minimise nurses' idle time," International Journal of Production Economics, Elsevier, vol. 191(C), pages 323-334.
    7. Jian-Jun Wang & Zongli Dai & Ai-Chih Chang & Jim Junmin Shi, 2022. "Surgical scheduling by Fuzzy model considering inpatient beds shortage under uncertain surgery durations," Annals of Operations Research, Springer, vol. 315(1), pages 463-505, August.
    8. Zakaria Yahia & Amr B. Eltawil & Nermine A. Harraz, 2016. "The operating room case-mix problem under uncertainty and nurses capacity constraints," Health Care Management Science, Springer, vol. 19(4), pages 383-394, December.
    9. Jin Wang & Hainan Guo & Kwok-Leung Tsui, 2021. "Two-stage robust optimisation for surgery scheduling considering surgeon collaboration," International Journal of Production Research, Taylor & Francis Journals, vol. 59(21), pages 6437-6450, November.
    10. 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.
    11. Francisco Ballestín & Ángeles Pérez & Sacramento Quintanilla, 2019. "Scheduling and rescheduling elective patients in operating rooms to minimise the percentage of tardy patients," Journal of Scheduling, Springer, vol. 22(1), pages 107-118, February.
    12. Khaniyev, Taghi & Kayış, Enis & Güllü, Refik, 2020. "Next-day operating room scheduling with uncertain surgery durations: Exact analysis and heuristics," European Journal of Operational Research, Elsevier, vol. 286(1), pages 49-62.
    13. Thibaud Monteiro & Nadine Meskens & Tao Wang, 2015. "Surgical scheduling with antagonistic human resource objectives," International Journal of Production Research, Taylor & Francis Journals, vol. 53(24), pages 7434-7449, December.
    14. 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.
    15. Penn, M.L. & Potts, C.N. & Harper, P.R., 2017. "Multiple criteria mixed-integer programming for incorporating multiple factors into the development of master operating theatre timetables," European Journal of Operational Research, Elsevier, vol. 262(1), pages 194-206.
    16. 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.
    17. 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.
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