Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/66033
Authors: 
Schimmelpfeng, Katja
Helber, Stefan
Kasper, Steffen
Year of Publication: 
2010
Series/Report no.: 
Discussion Paper, Wirtschaftswissenschaftliche Fakultät, Leibniz Universität Hannover 458
Abstract: 
We 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.
JEL: 
C61
Document Type: 
Working Paper

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