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dc.contributor.authorErdoğan, Güneş
dc.contributor.authorErkut, Erhan
dc.contributor.authorIngolfsson, A.
dc.contributor.authorLaporte, G.
dc.date.accessioned2012-12-06T10:58:09Z
dc.date.available2012-12-06T10:58:09Z
dc.date.issued2010-04
dc.identifier.issn0160-5682
dc.identifier.urihttp://hdl.handle.net/10679/262
dc.identifier.urihttp://www.palgrave-journals.com/jors/journal/v61/n4/full/jors2008163a.html
dc.description.abstractThis paper addresses the problem of scheduling ambulance crews in order to maximize the coverage throughout a planning horizon. The problem includes the subproblem of locating ambulances to maximize expected coverage with probabilistic response times, for which a tabu search algorithm is developed. The proposed tabu search algorithm is empirically shown to outperform previous approaches for this subproblem. Two integer programming models that use the output of the tabu search algorithm are constructed for the main problem. Computational experiments with real data are conducted. A comparison of the results of the models is presented.en_US
dc.language.isoengen_US
dc.publisherPalgrave MacMillanen_US
dc.relation.ispartofJournal of the Operational Research Society
dc.rightsopenAccess
dc.titleScheduling ambulance crews for maximum coverageen_US
dc.typeArticleen_US
dc.description.versionpre-print
dc.peerreviewedyesen_US
dc.publicationstatuspublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0002-2456-3719 & YÖK ID 172715) Erdoğan, Güneş
dc.contributor.authorID(ORCID 0000-0001-5806-0266 & YÖK ID 141720) Erkut, Erhan
dc.contributor.ozuauthorErdoğan, Güneş
dc.contributor.ozuauthorErkut, Erhan
dc.identifier.volume61
dc.identifier.startpage543
dc.identifier.endpage550
dc.identifier.wosWOS:000275445300001
dc.identifier.doi10.1057/jors.2008.163
dc.subject.keywordsAmbulance locationen_US
dc.subject.keywordsShift schedulingen_US
dc.subject.keywordsTabu searchen_US
dc.subject.keywordsInteger programmingen_US
dc.identifier.scopusSCOPUS:2-s2.0-77949446478
dc.contributor.authorMale2
dc.relation.publicationcategoryArticle - International Refereed Journal - Institutional Academic Staff


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