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dc.contributor.authorSchimmelpfeng, Katjaen
dc.contributor.authorHelber, Stefanen
dc.contributor.authorKasper, Steffenen
dc.date.accessioned2011-03-25-
dc.date.accessioned2012-11-06T15:27:37Z-
dc.date.available2012-11-06T15:27:37Z-
dc.date.issued2010-
dc.identifier.urihttp://hdl.handle.net/10419/66033-
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
dc.language.isoengen
dc.publisher|aLeibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät |cHannoveren
dc.relation.ispartofseries|aDiskussionsbeitrag |x458en
dc.subject.jelC61en
dc.subject.ddc330en
dc.subject.stwRehabilitationseinrichtungen
dc.subject.stwKrankenhausmanagementen
dc.subject.stwScheduling-Verfahrenen
dc.subject.stwManagement-Informationssystemen
dc.subject.stwTheorieen
dc.titleDecision support for rehabilitation hospital scheduling-
dc.typeWorking Paperen
dc.identifier.ppn654834040en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen
dc.identifier.repecRePEc:han:dpaper:dp-458en

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