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dc.contributor.authorSchimmelpfeng, Katjaen_US
dc.contributor.authorHelber, Stefanen_US
dc.contributor.authorKasper, Steffenen_US
dc.description.abstractWe present a detailed analysis of the patient and resource scheduling problem in rehabilitation hospitals. In practice, the predominantly therapeutical treatments and activities which are prescribed for the patients are typically scheduled manually. This leads to rigid and inefficient schedules which can have negative effects on the quality of care and the patients' satisfaction. We outline the conceptual framework of a decision support system for the scheduling process that is based on formal optimization models. To this end, we first develop a large-scale monolithic optimization model. Then we derive a numerically tractable hierarchical model system in order to deal with problem instances of realistic sizes. We report numerical results with respect to solution times, model sizes and solution quality.en_US
dc.publisherWirtschaftswiss. Fak., Leibniz Univ. Hannoveren_US
dc.relation.ispartofseriesDiscussion Paper, Wirtschaftswissenschaftliche Fakultät, Leibniz Universität Hannover 458en_US
dc.titleDecision support for rehabilitation hospital schedulingen_US
dc.typeWorking Paperen_US
Appears in Collections:Diskussionspapiere, Wirtschaftswissenschaftliche Fakultät, Universität Hannover

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