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Modelling and evaluation issues in nurse rostering

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  • Pieter Smet
  • Burak Bilgin
  • Patrick De Causmaecker
  • Greet Vanden Berghe

Abstract

In practice nurse rostering problems are often too complex to be expressed through available academic models. Such models are not rich enough to represent the variegated nature of real world scenarios, and therefore have no practical relevance. This article focuses on two particular modelling issues that require careful consideration in making academic nurse rostering approaches re-usable in a real world environment. First: introducing several complex problem characteristics, resulting in a rich, generic model. A detailed description is provided for researchers interested in using this new model. We also present a novel benchmark dataset based on this rich model. Second: the consideration of a consistent evaluation procedure that corresponds to realistic quality measurement. These contributions will enable faster implementation of academic nurse rostering achievements in real hospital environments. A suite of hyper-heuristics is presented. These are capable of solving these rich personnel rostering problems using the presented evaluation procedures. Their performance is compared to that of another meta-heuristic. Copyright Springer Science+Business Media, LLC 2014

Suggested Citation

  • Pieter Smet & Burak Bilgin & Patrick De Causmaecker & Greet Vanden Berghe, 2014. "Modelling and evaluation issues in nurse rostering," Annals of Operations Research, Springer, vol. 218(1), pages 303-326, July.
    • Handle: RePEc:spr:annopr:v:218:y:2014:i:1:p:303-326:10.1007/s10479-012-1116-3
    DOI: 10.1007/s10479-012-1116-3
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    References listed on IDEAS

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    Cited by:

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    3. De Bruecker, Philippe & Van den Bergh, Jorne & Beliën, Jeroen & Demeulemeester, Erik, 2015. "Workforce planning incorporating skills: State of the art," European Journal of Operational Research, Elsevier, vol. 243(1), pages 1-16.
    4. Sanja Petrovic, 2019. "“You have to get wet to learn how to swim” applied to bridging the gap between research into personnel scheduling and its implementation in practice," Annals of Operations Research, Springer, vol. 275(1), pages 161-179, April.
    5. Emir Hüseyin Özder & Evrencan Özcan & Tamer Eren, 2019. "Staff Task-Based Shift Scheduling Solution with an ANP and Goal Programming Method in a Natural Gas Combined Cycle Power Plant," Mathematics, MDPI, vol. 7(2), pages 1-26, February.
    6. 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.
    7. Sara Ceschia & Nguyen Dang & Patrick Causmaecker & Stefaan Haspeslagh & Andrea Schaerf, 2019. "The Second International Nurse Rostering Competition," Annals of Operations Research, Springer, vol. 274(1), pages 171-186, March.
    8. Rodriguez-Tello, Eduardo & Lardeux, Frédéric & Duarte, Abraham & Narvaez-Teran, Valentina, 2019. "Alternative evaluation functions for the cyclic bandwidth sum problem," European Journal of Operational Research, Elsevier, vol. 273(3), pages 904-919.
    9. Toni I. Wickert & Pieter Smet & Greet Vanden Berghe, 2021. "Quantifying and enforcing robustness in staff rostering," Journal of Scheduling, Springer, vol. 24(3), pages 347-366, June.
    10. Tom Rihm & Philipp Baumann, 2018. "Staff assignment with lexicographically ordered acceptance levels," Journal of Scheduling, Springer, vol. 21(2), pages 167-189, April.
    11. Smet, Pieter & Brucker, Peter & De Causmaecker, Patrick & Vanden Berghe, Greet, 2016. "Polynomially solvable personnel rostering problems," European Journal of Operational Research, Elsevier, vol. 249(1), pages 67-75.

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