An online stochastic algorithm for a dynamic nurse scheduling problem

Antoine Legrain, Jérémy Omer and Samuel Rosat

European Journal of Operational Research, 2020, vol. 285, issue 1, 196-210

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.

Keywords: Stochastic programming; Nurse rostering; Dynamic problem; Sample average approximation; Primal-dual algorithm; Scheduling (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:285:y:2020:i:1:p:196-210

DOI: 10.1016/j.ejor.2018.09.027

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