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dc.contributor.authorGutierrez-Alcoba, Alejandro
dc.contributor.authorOrtega, Gloria
dc.contributor.authorHendrix, Eligius M.T.
dc.contributor.authorHalvorsen-Weare, Elin Espeland
dc.contributor.authorHaugland, Dag
dc.date.accessioned2017-10-12T08:16:30Z
dc.date.available2017-10-12T08:16:30Z
dc.date.created2017-10-05T09:38:56Z
dc.date.issued2017
dc.identifier.citationProcedia Computer Science. 2017, 108 1512-1521.nb_NO
dc.identifier.issn1877-0509
dc.identifier.urihttp://hdl.handle.net/11250/2459811
dc.description.abstractWe present a discrete optimisation model that chooses an optimal fleet of vessels to support maintenance operations at Offshore Wind Farms (OFWs). The model is presented as a bi-level problem. On the first (tactical) level, decisions are made on the fleet composition for a certain time horizon. On the second (operational) level, the fleet is used to optimise the schedule of operations needed at the OWF, given events of failures and weather conditions.nb_NO
dc.language.isoengnb_NO
dc.publisherElsevier B.V.nb_NO
dc.subjectOffshore Wind Farmsnb_NO
dc.subjectDecision Support Systemnb_NO
dc.subjectFleet compositionnb_NO
dc.subjectMaintenance planningnb_NO
dc.titleA model for optimal fleet composition of vessels for offshore wind farm maintenancenb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.rights.holder© 2017 the authors - © 2017 Published by Elsevier B.V.nb_NO
dc.source.pagenumber1512-1521nb_NO
dc.source.volume108nb_NO
dc.source.journalProcedia Computer Sciencenb_NO
dc.identifier.doi10.1016/j.procs.2017.05.230
dc.identifier.cristin1502402
dc.relation.projectNorges forskningsråd: 193823nb_NO
cristin.unitcode7566,7,0,0
cristin.unitnameMaritim
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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