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Prioritized surgery scheduling in face of surgeon tiredness and fixed off-duty period

Author

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  • Dujuan Wang

    (Dalian University of Technology)

  • Feng Liu

    (Dongbei University of Finance and Economics)

  • Yunqiang Yin

    (Kunming University of Science and Technology)

  • Jianjun Wang

    (Dalian University of Technology)

  • Yanzhang Wang

    (Dalian University of Technology)

Abstract

In this paper, we apply a scheduling model to address the single day surgery scheduling problem for single operating room (OR). The OR operational cost and patients’ satisfaction need to be balanced. We optimize the scheduling of surgeries with two priority levels in an integrated manner, given the OR is off-duty for a fixed period. Surgeon’s accumulated tiredness during working hours, and controllable surgery durations are modeled. After deriving the NP-hardness of the problem, we first solve optimally two special cases in pseudo-polynomial time, and then design a hybrid evolutionary multi-objective algorithm for the general case. Iterated local search is embedded into the elitist non-dominated sorting genetic algorithm (NSGA-II) framework, and Pareto optimal property is utilized to guide evolution towards promising areas in solution space. Finally computational studies with data from a hospital in P.R. China are performed to verify the value of algorithm hybridization against the commercial solver and original NSGA-II, and to verify the value of integrated optimization against sequential decision-making.

Suggested Citation

  • Dujuan Wang & Feng Liu & Yunqiang Yin & Jianjun Wang & Yanzhang Wang, 2015. "Prioritized surgery scheduling in face of surgeon tiredness and fixed off-duty period," Journal of Combinatorial Optimization, Springer, vol. 30(4), pages 967-981, November.
    • Handle: RePEc:spr:jcomop:v:30:y:2015:i:4:d:10.1007_s10878-015-9846-1
    DOI: 10.1007/s10878-015-9846-1
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    References listed on IDEAS

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    1. Liwei Zhong & Shoucheng Luo & Lidong Wu & Lin Xu & Jinghui Yang & Guochun Tang, 2014. "A two-stage approach for surgery scheduling," Journal of Combinatorial Optimization, Springer, vol. 27(3), pages 545-556, April.
    2. Sakine Batun & Brian T. Denton & Todd R. Huschka & Andrew J. Schaefer, 2011. "Operating Room Pooling and Parallel Surgery Processing Under Uncertainty," INFORMS Journal on Computing, INFORMS, vol. 23(2), pages 220-237, May.
    3. Yong He & Li Sun, 2015. "One-machine scheduling problems with deteriorating jobs and position-dependent learning effects under group technology considerations," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(7), pages 1319-1326, May.
    4. Min Ji & Chou-Jung Hsu & Dar-Li Yang, 2013. "Single-machine scheduling with deteriorating jobs and aging effects under an optional maintenance activity consideration," Journal of Combinatorial Optimization, Springer, vol. 26(3), pages 437-447, October.
    5. A. R. Rahimi-Vahed & S. M. Mirghorbani, 2007. "A multi-objective particle swarm for a flow shop scheduling problem," Journal of Combinatorial Optimization, Springer, vol. 13(1), pages 79-102, January.
    6. Pan, Quan-Ke & Ruiz, Rubén, 2012. "Local search methods for the flowshop scheduling problem with flowtime minimization," European Journal of Operational Research, Elsevier, vol. 222(1), pages 31-43.
    7. Lee, Chung-Yee & Lin, Chen-Sin, 2001. "Single-machine scheduling with maintenance and repair rate-modifying activities," European Journal of Operational Research, Elsevier, vol. 135(3), pages 493-513, December.
    8. Ghaith Jaradat & Masri Ayob & Zulkifli Ahmad, 2014. "On the performance of Scatter Search for post-enrolment course timetabling problems," Journal of Combinatorial Optimization, Springer, vol. 27(3), pages 417-439, 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. 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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    Citations

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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. Shuwan Zhu & Wenjuan Fan & Shanlin Yang & Panos M. Pardalos, 2023. "Scheduling operating rooms of multiple hospitals considering transportation and deterioration in mass-casualty incidents," Annals of Operations Research, Springer, vol. 321(1), pages 717-753, February.
    3. Hongbo Li & Li Wang & Xuan Xia & Hongbo Liu, 2021. "Perceived service quality’s effect on patient loyalty through patient attitude within the context of traditional Chinese medicine," Journal of Combinatorial Optimization, Springer, vol. 42(4), pages 1030-1041, November.
    4. Jiawei Zhang & Ling Wang & Lining Xing, 2019. "Large-scale medical examination scheduling technology based on intelligent optimization," Journal of Combinatorial Optimization, Springer, vol. 37(1), pages 385-404, January.
    5. Xuanzhu Fan & Jiafu Tang & Chongjun Yan & Hainan Guo & Zhongfa Cao, 2021. "Outpatient appointment scheduling problem considering patient selection behavior: data modeling and simulation optimization," Journal of Combinatorial Optimization, Springer, vol. 42(4), pages 677-699, November.
    6. Cheng He & Changchun Liu & Tao Wu & Ying Xu & Yang Wu & Tong Chen, 2021. "Medical rolling bearing fault prognostics based on improved extreme learning machine," Journal of Combinatorial Optimization, Springer, vol. 42(4), pages 700-721, November.
    7. Xuanzhu Fan & Jiafu Tang & Chongjun Yan & Hainan Guo & Zhongfa Cao, 0. "Outpatient appointment scheduling problem considering patient selection behavior: data modeling and simulation optimization," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-23.
    8. Cheng He & Changchun Liu & Tao Wu & Ying Xu & Yang Wu & Tong Chen, 0. "Medical rolling bearing fault prognostics based on improved extreme learning machine," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-22.
    9. Yadong Wang & Baoqiang Fan & Jingang Zhai & Wei Xiong, 2019. "Two-machine flowshop scheduling in a physical examination center," Journal of Combinatorial Optimization, Springer, vol. 37(1), pages 363-374, January.
    10. Hongbo Li & Li Wang & Xuan Xia & Hongbo Liu, 0. "Perceived service quality’s effect on patient loyalty through patient attitude within the context of traditional Chinese medicine," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-12.

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