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Optimal arrangement of the pulmonary interventional surgeries considering timely distribution of medical consumables

Author

Listed:
  • Huidan Lin

    (Shanghai University
    Shanghai Polytechnic University)

  • Qun Li

    (Shanghai Jiaotong University)

  • Xueguo Xu

    (Shanghai University)

  • Ping Li

    (Shanghai Jiaotong University)

Abstract

The order of the pulmonary interventional surgeries and the reasonable arrangement of the surgical rooms are the important factors for the successful pulmonary interventional surgeries. This article uses combinatorial optimization and sequencing theory in order to optimize the operation sequence of the pulmonary interventional surgeries and arrange the operating rooms reasonably. A surgical room is seen as machine, each pulmonary interventional surgery as work piece aiming at optimizing the objective of minimizing the surgical consumed resources. When the daily surgical arrangements were established, an algorithm for the supply of pulmonary interventional surgeries is established applying the sequencing theory. The medical consumables used in each pulmonary interventional surgery are packaged into a small box for integrated management to enable least number of SPD distributors with the highest efficiency satisfied supplies. An example showed that the proposed method has reasonable practical significance.

Suggested Citation

  • Huidan Lin & Qun Li & Xueguo Xu & Ping Li, 2019. "Optimal arrangement of the pulmonary interventional surgeries considering timely distribution of medical consumables," Journal of Combinatorial Optimization, Springer, vol. 37(1), pages 271-285, January.
    • Handle: RePEc:spr:jcomop:v:37:y:2019:i:1:d:10.1007_s10878-017-0223-0
    DOI: 10.1007/s10878-017-0223-0
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    References listed on IDEAS

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    1. Vernon Ning Hsu & Renato de Matta & Chung‐Yee Lee, 2003. "Scheduling patients in an ambulatory surgical center," Naval Research Logistics (NRL), John Wiley & Sons, vol. 50(3), pages 218-238, April.
    2. Xingong Zhang & Hui Wang & Xingpeng Wang, 2015. "Patients scheduling problems with deferred deteriorated functions," Journal of Combinatorial Optimization, Springer, vol. 30(4), pages 1027-1041, November.
    3. Brian T. Denton & Andrew J. Miller & Hari J. Balasubramanian & Todd R. Huschka, 2010. "Optimal Allocation of Surgery Blocks to Operating Rooms Under Uncertainty," Operations Research, INFORMS, vol. 58(4-part-1), pages 802-816, August.
    4. 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.
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    Cited by:

    1. Ying Yang & Huijing Wu & Caixia Yan, 2021. "Medical consumable usage control based on Canopy_K-means clustering and WARM," Journal of Combinatorial Optimization, Springer, vol. 42(4), pages 722-739, November.
    2. 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.
    3. Ying Yang & Huijing Wu & Caixia Yan, 0. "Medical consumable usage control based on Canopy_K-means clustering and WARM," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-18.
    4. Huidan Lin & Qun Li & Xueguo Xu & Ying Zhang, 0. "Research on dispatch of drugs and consumables in SPD warehouse of large scale hospital under uncertain environment: take respiratory consumables as an example," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-18.
    5. Huidan Lin & Qun Li & Xueguo Xu & Ying Zhang, 2021. "Research on dispatch of drugs and consumables in SPD warehouse of large scale hospital under uncertain environment: take respiratory consumables as an example," Journal of Combinatorial Optimization, Springer, vol. 42(4), pages 848-865, November.
    6. 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.

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