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A flexible iterative improvement heuristic to support creation of feasible shift rosters in self-rostering

Author

Listed:
  • E. Veen

    (ORTEC
    University of Twente)

  • J. L. Hurink

    (University of Twente)

  • J. M. J. Schutten

    (University of Twente)

  • S. T. Uijland

    (ORTEC
    University of Twente)

Abstract

Self-rostering is receiving more and more attention in literature and in practice. With self-rostering, employees propose the schedule they prefer to work during a given planning horizon. However, these schedules often do not match with the staffing demand as specified by the organization. We present an approach to support creating feasible schedules that uses the schedules proposed by the employees as input and that aims to divide the burden of shift reassignments fairly throughout the employees. We discuss computational results and indicate how various model parameters influence scheduling performance indicators. The presented approach is flexible and easily extendable, since labor rule checks are isolated from the actual algorithm, which makes it easy to include additional labor rules in the approach. Moreover, our approach enables the user to make a trade-off between the quality of the resulting roster and the extent to which the planner is able to track the decisions of the algorithm.

Suggested Citation

  • E. Veen & J. L. Hurink & J. M. J. Schutten & S. T. Uijland, 2016. "A flexible iterative improvement heuristic to support creation of feasible shift rosters in self-rostering," Annals of Operations Research, Springer, vol. 239(1), pages 189-206, April.
    • Handle: RePEc:spr:annopr:v:239:y:2016:i:1:d:10.1007_s10479-014-1540-7
    DOI: 10.1007/s10479-014-1540-7
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    References listed on IDEAS

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    1. Margarida Moz & Margarida Pato, 2004. "Solving the Problem of Rerostering Nurse Schedules with Hard Constraints: New Multicommodity Flow Models," Annals of Operations Research, Springer, vol. 128(1), pages 179-197, April.
    2. Melanie De Grano & D. Medeiros & David Eitel, 2009. "Accommodating individual preferences in nurse scheduling via auctions and optimization," Health Care Management Science, Springer, vol. 12(3), pages 228-242, September.
    3. Van den Bergh, Jorne & Beliën, Jeroen & De Bruecker, Philippe & Demeulemeester, Erik & De Boeck, Liesje, 2013. "Personnel scheduling: A literature review," European Journal of Operational Research, Elsevier, vol. 226(3), pages 367-385.
    4. A.T. Ernst & H. Jiang & M. Krishnamoorthy & B. Owens & D. Sier, 2004. "An Annotated Bibliography of Personnel Scheduling and Rostering," Annals of Operations Research, Springer, vol. 127(1), pages 21-144, March.
    5. Deborah L. Kellogg & Steven Walczak, 2007. "Nurse Scheduling: From Academia to Implementation or Not?," Interfaces, INFORMS, vol. 37(4), pages 355-369, August.
    6. 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.
    7. 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:

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