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Optimization models for radiotherapy patient scheduling

Content Provider	Springer Nature Link
Author	Conforti, D. Guerriero, F. Guido, R.
Copyright Year	2007
Abstract	The efficient radiotherapy patient scheduling, within oncology departments, plays a crucial role in order to ensure the delivery of the right treatment at the right time. In this context, generating a high quality solution is a challenging task, since different goals (i.e., all the activities are scheduled as soon as possible, the patient waiting time is minimized, the device utilization is maximized) could be achieved and a large set of constraints (i.e., every device can be used by only one patient at time, the treatments have to be performed in an exact time order) should be taken into account. We propose novel optimization models dealing with the efficient outpatient scheduling within a radiotherapy department defined in such a way to represent different real-life situations. The effectiveness of the proposed models is evaluated on randomly generated problems and on a real case situation. The results are very encouraging since the developed optimization models allow to overcome the performance of human experts (i.e., the number of patients that begin the radiotherapy treatment is maximized).
Starting Page	263
Ending Page	278
Page Count	16
File Format	PDF
ISSN	16194500
Journal	4OR
Volume Number	6
Issue Number	3
e-ISSN	16142411
Language	English
Publisher	Springer-Verlag
Publisher Date	2007-06-19
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Healthcare services Radiotherapy planning Scheduling problems Optimization models Case studies Industrial and Production Engineering Optimization Operations Research/Decision Theory
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Management Science and Operations Research Management Information Systems Computational Theory and Mathematics

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