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dc.contributor.authorRaknes, Nora Tangen
dc.contributor.authorØdeskaug, Katrine
dc.contributor.authorStålhane, Magnus
dc.contributor.authorHvattum, Lars Magnus
dc.date.accessioned2018-01-30T10:09:20Z
dc.date.available2018-01-30T10:09:20Z
dc.date.created2017-07-09T11:03:52Z
dc.date.issued2017
dc.identifier.citationJournal of Marine Science and Engineering. 2017, 5 (1), .nb_NO
dc.identifier.issn2077-1312
dc.identifier.urihttp://hdl.handle.net/11250/2480595
dc.description.abstractMaintenance costs related to offshore wind farms are severely limiting their potential for being profitable. This paper proposes a new mathematical model that considers how maintenance tasks should be scheduled and performed by technicians transported using a fleet of dedicated vessels. The model is novel in its combination of modelling several work shifts and including vessels that can stay offshore for several shifts, while handling large maintenance tasks and accurate calculation of downtime costs. Simulation is used to evaluate the performance of the model in its pure form, as well as when solved heuristically using a rolling horizon heuristic. The results indicate that the end-of-horizon effects of the mathematical formulation are handled effectively. Computational experiments also illustrate how the mathematical model coupled with simulation can be used to evaluate strategic decisions regarding the composition of a vessel fleet used to execute maintenance tasks.nb_NO
dc.language.isoengnb_NO
dc.publisherMDPInb_NO
dc.relation.urihttp://www.mdpi.com/2077-1312/5/1/11/pdf
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleScheduling of maintenance tasks and routing of a joint vessel fleet for multiple offshore wind farmsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber25nb_NO
dc.source.volume5nb_NO
dc.source.journalJournal of Marine Science and Engineeringnb_NO
dc.source.issue1nb_NO
dc.identifier.doi10.3390/jmse5010011
dc.identifier.cristin1481564
dc.description.localcode(c) 2017 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).nb_NO
cristin.unitcode194,60,25,0
cristin.unitnameInstitutt for industriell økonomi og teknologiledelse
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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