IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v178y2010i1p5-2110.1007-s10479-009-0547-y.html
   My bibliography  Save this article

Stochastic dynamic nursing service budgeting

Author

Listed:
  • Gergely Mincsovics
  • Nico Dellaert

Abstract

We address the nursing service budgeting problem from the department manager’s point of view. The model allocates the budget dynamically to three types of nursing care capacities: 1) permanent nurses, 2) temporary nurses, and 3) overtime. The quarterly tactical decisions are the aggregate weekly shift pattern of permanent nurses and the policy for hiring temporary nurses and using overtime. The decisions are optimized with respect to nursing care shortage and a soft-constraint on the annual budget. For the aggregate weekly shift pattern, permanent nurses require a notification lead-time of one quarter to prepare the personal rosters. Our model offers a solution to the nursing service budgeting problem that extends the existing literature by using a Markovian demand model, resolving the anticipation of the operational decisions, and applying general budget as well as shortage penalty functions. Copyright The Author(s) 2010

Suggested Citation

  • Gergely Mincsovics & Nico Dellaert, 2010. "Stochastic dynamic nursing service budgeting," Annals of Operations Research, Springer, vol. 178(1), pages 5-21, July.
    • Handle: RePEc:spr:annopr:v:178:y:2010:i:1:p:5-21:10.1007/s10479-009-0547-y
    DOI: 10.1007/s10479-009-0547-y
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10479-009-0547-y
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10479-009-0547-y?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. Brusco, MJ & Showalter, MJ, 1993. "Constrained nurse staffing analysis," Omega, Elsevier, vol. 21(2), pages 175-186, March.
    2. Bennett Fox, 1966. "Discrete Optimization Via Marginal Analysis," Management Science, INFORMS, vol. 13(3), pages 210-216, November.
    3. 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.
    4. William J. Abernathy & Nicholas Baloff & John C. Hershey & Sten Wandel, 1973. "A Three-Stage Manpower Planning and Scheduling Model—A Service-Sector Example," Operations Research, INFORMS, vol. 21(3), pages 693-711, June.
    5. Edward P. C. Kao & Maurice Queyranne, 1985. "Budgeting Costs of Nursing in a Hospital," Management Science, INFORMS, vol. 31(5), pages 608-621, May.
    6. 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.
    7. Venkataraman, R. & Brusco, M. J., 1996. "An integrated analysis of nurse staffing and scheduling policies," Omega, Elsevier, vol. 24(1), pages 57-71, February.
    8. Vandankumar M. Trivedi, 1981. "A Mixed-Integer Goal Programming Model for Nursing Service Budgeting," Operations Research, INFORMS, vol. 29(5), pages 1019-1034, October.
    9. Kao, Edward P. C. & Tung, Grace G., 1980. "Forecasting demands for inpatient services in a large public health care delivery system," Socio-Economic Planning Sciences, Elsevier, vol. 14(2), pages 97-106.
    10. Yongjian Li & Jian Chen & Xiaoqiang Cai, 2007. "An integrated staff-sizing approach considering feasibility of scheduling decision," Annals of Operations Research, Springer, vol. 155(1), pages 361-390, November.
    11. Zimmerman, Jl, 1976. "Budget Uncertainty And Allocation Decision In A Nonprofit Organization," Journal of Accounting Research, Wiley Blackwell, vol. 14(2), pages 301-319.
    Full references (including those not matched with items on IDEAS)

    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. Venkataraman, R. & Brusco, M. J., 1996. "An integrated analysis of nurse staffing and scheduling policies," Omega, Elsevier, vol. 24(1), pages 57-71, February.
    2. repec:dau:papers:123456789/4010 is not listed on IDEAS
    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. 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.
    5. Wang, Wen-Ya & Gupta, Diwakar & Potthoff, Sandra, 2009. "On evaluating the impact of flexibility enhancing strategies on the performance of nurse schedules," Health Policy, Elsevier, vol. 93(2-3), pages 188-200, December.
    6. Campbell, Gerard M. & Diaby, Moustapha, 2002. "Development and evaluation of an assignment heuristic for allocating cross-trained workers," European Journal of Operational Research, Elsevier, vol. 138(1), pages 9-20, April.
    7. 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.
    8. Ernst, A. T. & Jiang, H. & Krishnamoorthy, M. & Sier, D., 2004. "Staff scheduling and rostering: A review of applications, methods and models," European Journal of Operational Research, Elsevier, vol. 153(1), pages 3-27, February.
    9. 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.
    10. Gerard M. Campbell, 1999. "Cross-Utilization of Workers Whose Capabilities Differ," Management Science, INFORMS, vol. 45(5), pages 722-732, May.
    11. 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.
    12. Kibaek Kim & Sanjay Mehrotra, 2015. "A Two-Stage Stochastic Integer Programming Approach to Integrated Staffing and Scheduling with Application to Nurse Management," Operations Research, INFORMS, vol. 63(6), pages 1431-1451, December.
    13. Yongjian Li & Jian Chen & Xiaoqiang Cai, 2007. "An integrated staff-sizing approach considering feasibility of scheduling decision," Annals of Operations Research, Springer, vol. 155(1), pages 361-390, November.
    14. G M Campbell, 2011. "A two-stage stochastic program for scheduling and allocating cross-trained workers," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(6), pages 1038-1047, June.
    15. Deborah L. Kellogg & Steven Walczak, 2007. "Nurse Scheduling: From Academia to Implementation or Not?," Interfaces, INFORMS, vol. 37(4), pages 355-369, August.
    16. P R Harper & N H Powell & J E Williams, 2010. "Modelling the size and skill-mix of hospital nursing teams," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(5), pages 768-779, May.
    17. Perla, Abhinav & Nikolaev, Alexander & Pasiliao, Eduardo, 2018. "Workforce management under social Link Based Corruption," Omega, Elsevier, vol. 78(C), pages 222-236.
    18. 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.
    19. Gnanlet, Adelina & Gilland, Wendell G., 2014. "Impact of productivity on cross-training configurations and optimal staffing decisions in hospitals," European Journal of Operational Research, Elsevier, vol. 238(1), pages 254-269.
    20. Brusco, Michael J., 2015. "A bicriterion algorithm for the allocation of cross-trained workers based on operational and human resource objectives," European Journal of Operational Research, Elsevier, vol. 247(1), pages 46-59.
    21. Li, L. X. & Benton, W. C., 1996. "Performance measurement criteria in health care organizations: Review and future research directions," European Journal of Operational Research, Elsevier, vol. 93(3), pages 449-468, September.

    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:annopr:v:178:y:2010:i:1:p:5-21:10.1007/s10479-009-0547-y. 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.