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Reconstructing nurse schedules: Computational insights in the problem size parameters

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  • Maenhout, Broos
  • Vanhoucke, Mario

Abstract

Managing nursing personnel properly is of critical importance as these resources comprise a vast share of the hospital's operational costs. The organisational support and the managerial policy decisions on the scheduling level are important determinants for the nurses' working conditions and the related quality of care. In this paper, we gain insights and understanding in the consequences and outcomes of various personnel re-rostering characteristics and strategies. We explore the boundaries of the time horizon and the nurse staffing size to consider for the nurse re-rostering problem based on computational experiments in a real-life problem environment.

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  • Maenhout, Broos & Vanhoucke, Mario, 2013. "Reconstructing nurse schedules: Computational insights in the problem size parameters," Omega, Elsevier, vol. 41(5), pages 903-918.
    • Handle: RePEc:eee:jomega:v:41:y:2013:i:5:p:903-918
    DOI: 10.1016/j.omega.2012.10.010
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    References listed on IDEAS

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    1. Margarida Moz & Margarida Pato, 2003. "An Integer Multicommodity Flow Model Applied to the Rerostering of Nurse Schedules," Annals of Operations Research, Springer, vol. 119(1), pages 285-301, March.
    2. Medard, Claude P. & Sawhney, Nidhi, 2007. "Airline crew scheduling from planning to operations," European Journal of Operational Research, Elsevier, vol. 183(3), pages 1013-1027, December.
    3. Cheang, B. & Li, H. & Lim, A. & Rodrigues, B., 2003. "Nurse rostering problems--a bibliographic survey," European Journal of Operational Research, Elsevier, vol. 151(3), pages 447-460, December.
    4. B. Maenhout & M. Vanhoucke, 2008. "Branching Strategies in a Branch-and-Price Approach for a Multiple Objective Nurse Scheduling Problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/495, Ghent University, Faculty of Economics and Business Administration.
    5. Huisman, Dennis, 2007. "A column generation approach for the rail crew re-scheduling problem," European Journal of Operational Research, Elsevier, vol. 180(1), pages 163-173, July.
    6. Bard, Jonathan F. & Purnomo, Hadi W., 2005. "Preference scheduling for nurses using column generation," European Journal of Operational Research, Elsevier, vol. 164(2), pages 510-534, July.
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    Cited by:

    1. Wolbeck, Lena & Kliewer, Natalia & Marques, Inês, 2020. "Fair shift change penalization scheme for nurse rescheduling problems," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1121-1135.
    2. Caballini, Claudia & Paolucci, Massimo, 2020. "A rostering approach to minimize health risks for workers: An application to a container terminal in the Italian port of Genoa," Omega, Elsevier, vol. 95(C).
    3. Pieter Smet & Annelies Lejon & Greet Vanden Berghe, 2021. "Demand smoothing in shift design," Flexible Services and Manufacturing Journal, Springer, vol. 33(2), pages 457-484, June.
    4. Ingels, Jonas & Maenhout, Broos, 2019. "Optimised buffer allocation to construct stable personnel shift rosters," Omega, Elsevier, vol. 82(C), pages 102-117.
    5. Ana Paias & Marta Mesquita & Margarida Moz & Margarida Pato, 2021. "A network flow-based algorithm for bus driver rerostering," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(2), pages 543-576, June.
    6. Maenhout, Broos & Vanhoucke, Mario, 2018. "A perturbation matheuristic for the integrated personnel shift and task re-scheduling problem," European Journal of Operational Research, Elsevier, vol. 269(3), pages 806-823.

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    Keywords

    Personnel planning; Re-rostering;

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