IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v29y1981i5p1019-1034.html
   My bibliography  Save this article

A Mixed-Integer Goal Programming Model for Nursing Service Budgeting

Author

Listed:
  • Vandankumar M. Trivedi

    (University of Washington, Seattle, Washington)

Abstract

This paper presents a mixed-integer goal programming model for expense budgeting in a hospital nursing department. The model incorporates several different objectives based upon such considerations as cost containment and providing appropriate nursing hours for delivering quality nursing care. Also considered are possible trade-offs among full-time, part-time and overtime nurses on weekdays as well as weekends. The budget includes vacation, sick leave, holiday, and seniority policies of a hospital and various constraints on a hospital nursing service imposed by nursing unions. The results are based upon data from a study hospital and indicate that the model is practical for budgeting in a hospital nursing department.

Suggested Citation

  • Vandankumar M. Trivedi, 1981. "A Mixed-Integer Goal Programming Model for Nursing Service Budgeting," Operations Research, INFORMS, vol. 29(5), pages 1019-1034, October.
  • Handle: RePEc:inm:oropre:v:29:y:1981:i:5:p:1019-1034
    DOI: 10.1287/opre.29.5.1019
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.29.5.1019
    Download Restriction: no

    File URL: https://libkey.io/10.1287/opre.29.5.1019?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
    ---><---

    Citations

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


    Cited by:

    1. Cai, X. & Li, K. N., 2000. "A genetic algorithm for scheduling staff of mixed skills under multi-criteria," European Journal of Operational Research, Elsevier, vol. 125(2), pages 359-369, September.
    2. repec:dau:papers:123456789/4010 is not listed on IDEAS
    3. Ali Kokangul & Serap Akcan & Mufide Narli, 2017. "Optimizing nurse capacity in a teaching hospital neonatal intensive care unit," Health Care Management Science, Springer, vol. 20(2), pages 276-285, June.
    4. Gergely Mincsovics & Nico Dellaert, 2010. "Stochastic dynamic nursing service budgeting," Annals of Operations Research, Springer, vol. 178(1), pages 5-21, July.
    5. Alves, Maria Joao & Climaco, Joao, 2000. "An interactive reference point approach for multiobjective mixed-integer programming using branch-and-bound," European Journal of Operational Research, Elsevier, vol. 124(3), pages 478-494, August.
    6. Dellaert, Nico & Jeunet, Jully & Mincsovics, Gergely, 2011. "Budget allocation for permanent and contingent capacity under stochastic demand," International Journal of Production Economics, Elsevier, vol. 131(1), pages 128-138, May.

    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:inm:oropre:v:29:y:1981:i:5:p:1019-1034. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.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.