Multi-objective scheduling and a resource allocation problem in hospitals
Identifieur interne : 001E15 ( Main/Exploration ); précédent : 001E14; suivant : 001E16Multi-objective scheduling and a resource allocation problem in hospitals
Auteurs : Silvija Vlah Jeri [Croatie] ; José Rui Figueira [Portugal, France]Source :
- Journal of Scheduling [ 1094-6136 ] ; 2012-10-01.
English descriptors
Abstract
Abstract: This study addresses the issue of scheduling medical treatments for resident patients in a hospital. Schedules are made daily according to the restrictions on medical equipment and physicians who are being assigned at the same time. The problem is formulated as a multi-objective binary integer programming (BIP) model. Three types of metaheuristics are proposed and implemented to deal with the discrete search space, numerous variables, constraints and multiple objectives: a variable neighborhood search (VNS)-based method, scatter search (SS)-based methods and a non-dominated sorting genetic algorithm (NSGA-II). This paper also provides the results of computational experiments and compares their ability to find efficient solutions to the multi-objective scheduling problem.
Url:
DOI: 10.1007/s10951-012-0278-9
Affiliations:
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Kennedya 6, Zagreb</wicri:regionArea><wicri:noRegion>Zagreb</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Croatie</country></affiliation></author><author><name sortKey="Figueira, Jose Rui" sort="Figueira, Jose Rui" uniqKey="Figueira J" first="José Rui" last="Figueira">José Rui Figueira</name><affiliation wicri:level="1"><country xml:lang="fr">Portugal</country><wicri:regionArea>CEG-IST, Technical University of Lisbon, Av. 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Schedules are made daily according to the restrictions on medical equipment and physicians who are being assigned at the same time. The problem is formulated as a multi-objective binary integer programming (BIP) model. Three types of metaheuristics are proposed and implemented to deal with the discrete search space, numerous variables, constraints and multiple objectives: a variable neighborhood search (VNS)-based method, scatter search (SS)-based methods and a non-dominated sorting genetic algorithm (NSGA-II). This paper also provides the results of computational experiments and compares their ability to find efficient solutions to the multi-objective scheduling problem.</div></front></TEI><affiliations><list><country><li>Croatie</li><li>France</li><li>Portugal</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Nancy</li></settlement></list><tree><country name="Croatie"><noRegion><name sortKey="Vlah Jeri, Silvija" sort="Vlah Jeri, Silvija" uniqKey="Vlah Jeri S" first="Silvija" last="Vlah Jeri">Silvija Vlah Jeri</name></noRegion><name sortKey="Vlah Jeri, Silvija" sort="Vlah Jeri, Silvija" uniqKey="Vlah Jeri S" first="Silvija" last="Vlah Jeri">Silvija Vlah Jeri</name></country><country name="Portugal"><noRegion><name sortKey="Figueira, Jose Rui" sort="Figueira, Jose Rui" uniqKey="Figueira J" first="José Rui" last="Figueira">José Rui Figueira</name></noRegion><name sortKey="Figueira, Jose Rui" sort="Figueira, Jose Rui" uniqKey="Figueira J" first="José Rui" last="Figueira">José Rui Figueira</name></country><country name="France"><region name="Grand Est"><name sortKey="Figueira, Jose Rui" sort="Figueira, Jose Rui" uniqKey="Figueira J" first="José Rui" last="Figueira">José Rui Figueira</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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