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An online stochastic algorithm for a dynamic nurse scheduling problem

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  • Legrain, Antoine
  • Omer, Jérémy
  • Rosat, Samuel

Abstract

In this paper, we focus on the problem studied in the second international nurse rostering competition: a personalized nurse scheduling problem under uncertainty. The schedules must be computed week by week over a planning horizon of up to eight weeks. We present the work that the authors submitted to this competition and which was awarded the second prize.

Suggested Citation

  • Legrain, Antoine & Omer, Jérémy & Rosat, Samuel, 2020. "An online stochastic algorithm for a dynamic nurse scheduling problem," European Journal of Operational Research, Elsevier, vol. 285(1), pages 196-210.
    • Handle: RePEc:eee:ejores:v:285:y:2020:i:1:p:196-210
    DOI: 10.1016/j.ejor.2018.09.027
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    References listed on IDEAS

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    1. Brian T. Denton & Andrew J. Miller & Hari J. Balasubramanian & Todd R. Huschka, 2010. "Optimal Allocation of Surgery Blocks to Operating Rooms Under Uncertainty," Operations Research, INFORMS, vol. 58(4-part-1), pages 802-816, August.
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    Cited by:

    1. Alves de Queiroz, Thiago & Iori, Manuel & Kramer, Arthur & Kuo, Yong-Hong, 2023. "Dynamic scheduling of patients in emergency departments," European Journal of Operational Research, Elsevier, vol. 310(1), pages 100-116.
    2. Rajeswari Muniyan & Rajakumar Ramalingam & Sultan S. Alshamrani & Durgaprasad Gangodkar & Ankur Dumka & Rajesh Singh & Anita Gehlot & Mamoon Rashid, 2022. "Artificial Bee Colony Algorithm with Nelder–Mead Method to Solve Nurse Scheduling Problem," Mathematics, MDPI, vol. 10(15), pages 1-24, July.
    3. David D. Cho & Kurt M. Bretthauer & Jan Schoenfelder, 2023. "Patient-to-nurse ratios: Balancing quality, nurse turnover, and cost," Health Care Management Science, Springer, vol. 26(4), pages 807-826, December.

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