IDEAS home Printed from
   My bibliography  Save this article

An integrated analysis of nurse staffing and scheduling policies


  • Venkataraman, R.
  • Brusco, M. J.


In this paper we present an integrated nurse staffing and scheduling system for analyzing nurse workforce management policies. A mixed-integer linear programming nurse staffing model is used to determine aggregate labor requirements for a 6-month planning horizon. Subsequently, a mixed-integer linear programming model is used to disaggregate the nurse staffing plan into 2-week labor schedules. The integrative system permits recursion between the staffing and scheduling models and thus enables nurse workforce management to rapidly evaluate the impact of both staffing and scheduling policies. We use the new system to study the effects of staffing and scheduling policies on labor costs. The results suggest that there are indeed important interactions between staffing and scheduling policies.

Suggested Citation

  • Venkataraman, R. & Brusco, M. J., 1996. "An integrated analysis of nurse staffing and scheduling policies," Omega, Elsevier, vol. 24(1), pages 57-71, February.
  • Handle: RePEc:eee:jomega:v:24:y:1996:i:1:p:57-71

    Download full text from publisher

    File URL:
    Download Restriction: Full text for ScienceDirect subscribers only

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

    References listed on IDEAS

    1. Brusco, MJ & Showalter, MJ, 1993. "Constrained nurse staffing analysis," Omega, Elsevier, vol. 21(2), pages 175-186, March.
    2. D. Michael Warner & Juan Prawda, 1972. "A Mathematical Programming Model for Scheduling Nursing Personnel in a Hospital," Management Science, INFORMS, vol. 19(4-Part-1), pages 411-422, December.
    3. Rosenbloom, E. S. & Goertzen, N. F., 1987. "Cyclic nurse scheduling," European Journal of Operational Research, Elsevier, vol. 31(1), pages 19-23, July.
    4. Edward P. C. Kao & Maurice Queyranne, 1985. "Budgeting Costs of Nursing in a Hospital," Management Science, INFORMS, vol. 31(5), pages 608-621, May.
    5. Siferd, Sue Perrott & Benton, W. C., 1992. "Workforce staffing and scheduling: Hospital nursing specific models," European Journal of Operational Research, Elsevier, vol. 60(3), pages 233-246, August.
    6. Henderson, John C & Krajewski, Lee J & Showalter, Michael J, 1982. "An integrated approach for manpower planning in the service sector," Omega, Elsevier, vol. 10(1), pages 61-73.
    Full references (including those not matched with items on IDEAS)


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

    Cited by:

    1. repec:eee:proeco:v:191:y:2017:i:c:p:323-334 is not listed on IDEAS
    2. Volland, Jonas & Fügener, Andreas & Brunner, Jens O., 2017. "A column generation approach for the integrated shift and task scheduling problem of logistics assistants in hospitals," European Journal of Operational Research, Elsevier, vol. 260(1), pages 316-334.
    3. Komarudin, & Guerry, Marie-Anne & De Feyter, Tim & Vanden Berghe, Greet, 2013. "The roster quality staffing problem – A methodology for improving the roster quality by modifying the personnel structure," European Journal of Operational Research, Elsevier, vol. 230(3), pages 551-562.
    4. Defraeye, Mieke & Van Nieuwenhuyse, Inneke, 2016. "Staffing and scheduling under nonstationary demand for service: A literature review," Omega, Elsevier, vol. 58(C), pages 4-25.
    5. Elina Rönnberg & Torbjörn Larsson, 2010. "Automating the self-scheduling process of nurses in Swedish healthcare: a pilot study," Health Care Management Science, Springer, vol. 13(1), pages 35-53, March.
    6. Lagodimos, A.G. & Mihiotis, A.N., 2006. "Overtime vs. regular shift planning decisions in packing shops," International Journal of Production Economics, Elsevier, vol. 101(2), pages 246-258, June.
    7. Lagodimos, A.G. & Mihiotis, A.N., 2010. "Efficient overtime planning in packing shops with lines of identical manning," International Journal of Production Economics, Elsevier, vol. 124(2), pages 453-462, April.
    8. Maenhout, Broos & Vanhoucke, Mario, 2013. "An integrated nurse staffing and scheduling analysis for longer-term nursing staff allocation problems," Omega, Elsevier, vol. 41(2), pages 485-499.
    9. Falasca, Mauro & Zobel, Christopher, 2012. "An optimization model for volunteer assignments in humanitarian organizations," Socio-Economic Planning Sciences, Elsevier, vol. 46(4), pages 250-260.
    10. Broos Maenhout & Mario Vanhoucke, 2013. "Analyzing the nursing organizational structure and process from a scheduling perspective," Health Care Management Science, Springer, vol. 16(3), pages 177-196, September.


    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:eee:jomega:v:24:y:1996:i:1:p:57-71. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.