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Patient scheduling optimization through an application of the cutting stock problem

Klein Kranenbarg, P.W. (2020) Patient scheduling optimization through an application of the cutting stock problem.

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Abstract:Efficiently using hospital beds is increasingly important, as healthcare expenditures are constantly rising. In this paper we present a research on this topic, taking into account both unscheduled and scheduled admissions. We used a modified version of the cutting stock problem to define an integer linear program model and tested our results in two simulations. In a case study on the VUmc neurology and neurosurgery department we achieved strategies requiring 28 beds for a blocking probability of 5% which is a significant improvement on the current 30 beds required by the VUmc for the same blocking probability.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:31 mathematics
Programme:Applied Mathematics BSc (56965)
Link to this item:http://purl.utwente.nl/essays/80499
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