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Resource-constrained machine scheduling with machine eligibility restriction and its applications to surgical operations scheduling

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  • Shan Wang

    (Shanghai Jiao Tong University)

  • Huiqiao Su

    (Shanghai Jiao Tong University)

  • Guohua Wan

    (Shanghai Jiao Tong University)

Abstract

We study a problem arising from surgical operations scheduling and model it as a resource-constrained machine scheduling problem with machine eligibility restriction to minimize the makespan. By decomposing the problem into two sub-problems, we develop effective heuristic algorithms to solve the problem. We test the proposed algorithms on randomly generated instances as well as real data set from a large hospital. The numerical results show the effectiveness and potential practical value of the models and the algorithms.

Suggested Citation

  • Shan Wang & Huiqiao Su & Guohua Wan, 2015. "Resource-constrained machine scheduling with machine eligibility restriction and its applications to surgical operations scheduling," Journal of Combinatorial Optimization, Springer, vol. 30(4), pages 982-995, November.
    • Handle: RePEc:spr:jcomop:v:30:y:2015:i:4:d:10.1007_s10878-015-9860-3
    DOI: 10.1007/s10878-015-9860-3
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    References listed on IDEAS

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    Cited by:

    1. Leung, Joseph Y.-T. & Li, Chung-Lun, 2016. "Scheduling with processing set restrictions: A literature update," International Journal of Production Economics, Elsevier, vol. 175(C), pages 1-11.
    2. 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.
    3. Mohammad Mahdi Nasiri & Farzaneh Shakouhi & Fariborz Jolai, 2019. "A fuzzy robust stochastic mathematical programming approach for multi-objective scheduling of the surgical cases," OPSEARCH, Springer;Operational Research Society of India, vol. 56(3), pages 890-910, September.
    4. Ling Gai & Jiandong Ji, 2019. "An integrated method to solve the healthcare facility layout problem under area constraints," Journal of Combinatorial Optimization, Springer, vol. 37(1), pages 95-113, January.
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    6. 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.
    7. Yi Du & Hua Yu & Zhijun Li, 2021. "Research of SVM ensembles in medical examination scheduling," Journal of Combinatorial Optimization, Springer, vol. 42(4), pages 1042-1052, November.
    8. Wei Gao & Wuping Bao & Xin Zhou, 2019. "Analysis of cough detection index based on decision tree and support vector machine," Journal of Combinatorial Optimization, Springer, vol. 37(1), pages 375-384, January.
    9. Wei Wang & Jingjie Chen & Qi Liu & Zhaoxia Guo, 2018. "Green Project Planning with Realistic Multi-Objective Consideration in Developing Sustainable Port," Sustainability, MDPI, vol. 10(7), pages 1-15, July.
    10. 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.
    11. Milind Dawande & Zhichao Feng & Ganesh Janakiraman, 2021. "On the Structure of Bottlenecks in Processes," Management Science, INFORMS, vol. 67(6), pages 3853-3870, June.

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