IDEAS home Printed from https://ideas.repec.org/p/zbw/hohdps/282017.html
   My bibliography  Save this paper

Clustering surgical procedures for master surgical scheduling

Author

Listed:
  • Kressner, Alexander
  • Schimmelpfeng, Katja

Abstract

The sound management of operating rooms is a very important task in each hospital. To use this crucial resource efficiently, cyclic master surgery schedules are often developed. To derive sensible schedules, high-quality input data are necessary. In this paper, we focus on the (elective) surgical procedures' stochastic durations to determine reasonable, cyclically scheduled surgical clusters. Therefore, we adapt the approach of van Oostrum et al (2008), which was specifically designed for clustering surgical procedures for master surgical scheduling, and present a two-stage solution approach that consists of a new construction heuristic and an improvement heuristic. We conducted a numerical study based on real-world data from a German hospital. The results reveal clusters with considerably reduced variability compared to those of van Oostrum et al(2008).

Suggested Citation

  • Kressner, Alexander & Schimmelpfeng, Katja, 2017. "Clustering surgical procedures for master surgical scheduling," Hohenheim Discussion Papers in Business, Economics and Social Sciences 28-2017, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    • Handle: RePEc:zbw:hohdps:282017
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/169369/1/898698510.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    master surgery scheduling (MSS); stochastic surgery duration; surgery types; clustering;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:zbw:hohdps:282017. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/fwhohde.html .

    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.