IDEAS home Printed from https://ideas.repec.org/a/pal/jorsoc/v53y2002i4d10.1057_palgrave.jors.2601310.html
   My bibliography  Save this article

Analysis via goal programming of the minimum achievable stay in surgical waiting lists

Author

Listed:
  • M Arenas

    (University of Oviedo)

  • A Bilbao

    (University of Oviedo)

  • R Caballero

    (University of Málaga)

  • T Gómez

    (University of Málaga)

  • M V Rodríguez

    (University of Oviedo)

  • F Ruiz

    (University of Málaga)

Abstract

In this paper, a Goal Programming model is developed in order to study the possibility of decreasing the length of stay on the waiting list of a hospital that belongs to the Spanish Health Service. First, a problem is solved to determine the optimal planning for one year, so as to make the maximum waiting time decrease to six months (at present, some operations have a waiting list of more than a year). Afterwards, two other problems are solved in order to determine the impact that a further reduction of the waiting time (four months) would have on the requirements of extra resources for the hospital. The particular problem for the Trauma service is described in detail, but global results are shown and commented.

Suggested Citation

  • M Arenas & A Bilbao & R Caballero & T Gómez & M V Rodríguez & F Ruiz, 2002. "Analysis via goal programming of the minimum achievable stay in surgical waiting lists," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(4), pages 387-396, April.
  • Handle: RePEc:pal:jorsoc:v:53:y:2002:i:4:d:10.1057_palgrave.jors.2601310
    DOI: 10.1057/palgrave.jors.2601310
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/palgrave.jors.2601310
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/palgrave.jors.2601310?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.

    Citations

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


    Cited by:

    1. Penn, M.L. & Potts, C.N. & Harper, P.R., 2017. "Multiple criteria mixed-integer programming for incorporating multiple factors into the development of master operating theatre timetables," European Journal of Operational Research, Elsevier, vol. 262(1), pages 194-206.
    2. Şeyda Gür & Tamer Eren & Hacı Mehmet Alakaş, 2019. "Surgical Operation Scheduling with Goal Programming and Constraint Programming: A Case Study," Mathematics, MDPI, vol. 7(3), pages 1-24, March.
    3. Şeyda Gür & Mehmet Pınarbaşı & Hacı Mehmet Alakaş & Tamer Eren, 2023. "Operating room scheduling with surgical team: a new approach with constraint programming and goal programming," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(4), pages 1061-1085, December.
    4. J P Oddoye & M A Yaghoobi & M Tamiz & D F Jones & P Schmidt, 2007. "A multi-objective model to determine efficient resource levels in a medical assessment unit," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(12), pages 1563-1573, December.
    5. Oddoye, J.P. & Jones, D.F. & Tamiz, M. & Schmidt, P., 2009. "Combining simulation and goal programming for healthcare planning in a medical assessment unit," European Journal of Operational Research, Elsevier, vol. 193(1), pages 250-261, February.
    6. 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.
    7. Arben Asllani & Silvana Trimi, 2022. "COVID-19 vaccine distribution: exploring strategic alternatives for the greater good," Service Business, Springer;Pan-Pacific Business Association, vol. 16(3), pages 601-619, September.
    8. Şeyda Gür & Tamer Eren, 2018. "Scheduling and Planning in Service Systems with Goal Programming: Literature Review," Mathematics, MDPI, vol. 6(11), pages 1-16, November.

    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:pal:jorsoc:v:53:y:2002:i:4:d:10.1057_palgrave.jors.2601310. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.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.