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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Scalable Load Balancing in Nurse to Patient Assignment Problems
verfasst von : Pierre Schaus, Pascal Van Hentenryck, Jean-Charles Régin
Erschienen in: Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems
Verlag: Springer Berlin Heidelberg
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This paper considers the daily assignment of newborn infant patients to nurses in a hospital. The objective is to balance the workload of the nurses, while satisfying a variety of side constraints. Prior work proposed a MIP model for this problem, which unfortunately did not scale to large instances and only approximated the objective function, since minimizing the variance cannot be expressed in a linear model. This paper presents constraint programming (CP) models of increasing complexity to solve large instances with hundreds of patients and nurses in a few seconds using the
Comet
optimization system. The CP models use the recent spread global constraint to minimize the variance, as well as an exact decomposition technique.