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A surgical scheduling method considering surgeons’ preferences

Author

Listed:
  • Ying Yang

    (Shanghai Second Polytechnic University)

  • Bing Shen

    (Shanghai Jiaotong University)

  • Wei Gao

    (Nanjing Medical University)

  • Yong Liu

    (Zunyi Traditional Chinese Medicine Hospital)

  • Liwei Zhong

    (Shanghai Jiaotong University
    Shanghai University)

Abstract

A surgical scheduling method considering surgeons’ preferences to the time segments has been designed. The one whole day’s work time of an operation room is seen as a kind of resource. According to the number of surgeons who applied for this operation room, the time is divided into corresponding time segments. Time segments and surgeons are seen as two sides of matching problem, the preference functions of two sides have been defined, and the model has been developed based on two-sided matching theory, then the solution of the model has been presented. An example showed that the satisfactions of surgeons have been improved obviously based on the efficient use of time resources.

Suggested Citation

  • Ying Yang & Bing Shen & Wei Gao & Yong Liu & Liwei Zhong, 2015. "A surgical scheduling method considering surgeons’ preferences," Journal of Combinatorial Optimization, Springer, vol. 30(4), pages 1016-1026, November.
    • Handle: RePEc:spr:jcomop:v:30:y:2015:i:4:d:10.1007_s10878-015-9853-2
    DOI: 10.1007/s10878-015-9853-2
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    References listed on IDEAS

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    1. Federico Echenique, 2008. "What Matchings Can Be Stable? The Testable Implications of Matching Theory," Mathematics of Operations Research, INFORMS, vol. 33(3), pages 757-768, August.
    2. Roth, Alvin E, 1986. "On the Allocation of Residents to Rural Hospitals: A General Property of Two-Sided Matching Markets," Econometrica, Econometric Society, vol. 54(2), pages 425-427, March.
    3. Lamiri, Mehdi & Xie, Xiaolan & Dolgui, Alexandre & Grimaud, Frederic, 2008. "A stochastic model for operating room planning with elective and emergency demand for surgery," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1026-1037, March.
    4. David Gale, 2001. "The Two-Sided Matching Problem: Origin, Development And Current Issues," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 3(02n03), pages 237-252.
    5. Chung-Piaw Teo & Jay Sethuraman & Wee-Peng Tan, 2001. "Gale-Shapley Stable Marriage Problem Revisited: Strategic Issues and Applications," Management Science, INFORMS, vol. 47(9), pages 1252-1267, September.
    6. 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.
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    Cited by:

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    3. 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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    7. Xi Chen & Liu Zhao & Haiming Liang & Kin Keung Lai, 2019. "Matching patients and healthcare service providers: a novel two-stage method based on knowledge rules and OWA-NSGA-II algorithm," Journal of Combinatorial Optimization, Springer, vol. 37(1), pages 221-247, January.
    8. Gang Du & Luyao Zheng & Xiaoling Ouyang, 2019. "Real-time scheduling optimization considering the unexpected events in home health care," Journal of Combinatorial Optimization, Springer, vol. 37(1), pages 196-220, January.
    9. Xuerui Gao & Yanqin Bai & Qian Li, 0. "A sparse optimization problem with hybrid $$L_2{\text {-}}L_p$$L2-Lp regularization for application of magnetic resonance brain images," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-25.
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