IDEAS home Printed from https://ideas.repec.org/a/spr/jcomop/v37y2019i1d10.1007_s10878-017-0223-0.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10878-017-0223-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10878-017-0223-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    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.
    4. Wang, Kai & Qin, Hu & Huang, Yun & Luo, Mengwen & Zhou, Lei, 2021. "Surgery scheduling in outpatient procedure centre with re-entrant patient flow and fuzzy service times," Omega, Elsevier, vol. 102(C).
    5. Ruiwei Jiang & Siqian Shen & Yiling Zhang, 2017. "Integer Programming Approaches for Appointment Scheduling with Random No-Shows and Service Durations," Operations Research, INFORMS, vol. 65(6), pages 1638-1656, December.
    6. Karsten Schwarz & Michael Römer & Taïeb Mellouli, 2019. "A data-driven hierarchical MILP approach for scheduling clinical pathways: a real-world case study from a German university hospital," Business Research, Springer;German Academic Association for Business Research, vol. 12(2), pages 597-636, December.
    7. Gréanne Leeftink & Erwin W. Hans, 2018. "Case mix classification and a benchmark set for surgery scheduling," Journal of Scheduling, Springer, vol. 21(1), pages 17-33, February.
    8. Akhundov, Najmaddin & Ostrowski, James, 2024. "Exploiting symmetry for the job sequencing and tool switching problem," European Journal of Operational Research, Elsevier, vol. 316(3), pages 976-987.
    9. Zhang, Yu & Wang, Yu & Tang, Jiafu & Lim, Andrew, 2020. "Mitigating overtime risk in tactical surgical scheduling," Omega, Elsevier, vol. 93(C).
    10. Bernardetta Addis & Giuliana Carello & Andrea Grosso & Elena Tànfani, 2016. "Operating room scheduling and rescheduling: a rolling horizon approach," Flexible Services and Manufacturing Journal, Springer, vol. 28(1), pages 206-232, June.
    11. Range, Troels Martin & Kozlowski, Dawid & Petersen, Niels Chr., 2019. "Dynamic job assignment: A column generation approach with an application to surgery allocation," European Journal of Operational Research, Elsevier, vol. 272(1), pages 78-93.
    12. 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.
    13. Xuerui Gao & Yanqin Bai & Qian Li, 2021. "A sparse optimization problem with hybrid $$L_2{\text {-}}L_p$$ L 2 - L p regularization for application of magnetic resonance brain images," Journal of Combinatorial Optimization, Springer, vol. 42(4), pages 760-784, November.
    14. Gartner, Daniel & Kolisch, Rainer, 2014. "Scheduling the hospital-wide flow of elective patients," European Journal of Operational Research, Elsevier, vol. 233(3), pages 689-699.
    15. Aisha Tayyab & Saif Ullah & Mohammed Fazle Baki, 2023. "An Outer Approximation Method for Scheduling Elective Surgeries with Sequence Dependent Setup Times to Multiple Operating Rooms," Mathematics, MDPI, vol. 11(11), pages 1-15, May.
    16. Roshanaei, Vahid & Booth, Kyle E.C. & Aleman, Dionne M. & Urbach, David R. & Beck, J. Christopher, 2020. "Branch-and-check methods for multi-level operating room planning and scheduling," International Journal of Production Economics, Elsevier, vol. 220(C).
    17. Michael Samudra & Carla Van Riet & Erik Demeulemeester & Brecht Cardoen & Nancy Vansteenkiste & Frank E. Rademakers, 2016. "Scheduling operating rooms: achievements, challenges and pitfalls," Journal of Scheduling, Springer, vol. 19(5), pages 493-525, October.
    18. Bjorn P. Berg & Brian T. Denton, 2017. "Fast Approximation Methods for Online Scheduling of Outpatient Procedure Centers," INFORMS Journal on Computing, INFORMS, vol. 29(4), pages 631-644, November.
    19. Duma, Davide & Aringhieri, Roberto, 2019. "The management of non-elective patients: shared vs. dedicated policies," Omega, Elsevier, vol. 83(C), pages 199-212.
    20. Yuan Shi & Saied Mahdian & Jose Blanchet & Peter Glynn & Andrew Y. Shin & David Scheinker, 2023. "Surgical scheduling via optimization and machine learning with long-tailed data," Health Care Management Science, Springer, vol. 26(4), pages 692-718, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jcomop:v:37:y:2019:i:1:d:10.1007_s10878-017-0223-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.