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dc.contributor.authorHalvorsen-Weare, Elin Espeland
dc.contributor.authorFagerholt, Kjetil
dc.date.accessioned2017-10-26T08:36:22Z
dc.date.available2017-10-26T08:36:22Z
dc.date.created2016-12-15T09:56:13Z
dc.date.issued2016
dc.identifier.citationOptimization and Engineering. 2016, 18 (1), 317-341.nb_NO
dc.identifier.issn1389-4420
dc.identifier.urihttp://hdl.handle.net/11250/2462282
dc.description.abstractThis paper considers the offshore supply vessel (OSV) planning problem, which consists of determining an optimal fleet size and mix of OSVs as well as their weekly routes and schedules for servicing offshore oil and gas installations. The work originates from a project with Statoil, the leading operator on the Norwegian continental shelf. We present both a new arc-flow and a voyage-based model for solving the OSV planning problem. A decision support tool based on the voyage-based model has been used by planners in Statoil, and cost savings from this was estimated to approximately 3 million USD/year. Weather conditions at the Norwegian continental shelf can be harsh; wave heights may limit both an OSV’s sailing speed and the time to perform unloading/loading operations at the installations. Hence, we analyze the weather impact on the execution of a schedule and propose robustness approaches to obtain solutions that can better withstand delays due to rough weather. Simulations indicate that such solutions both are more robust and have lower expected costs.nb_NO
dc.language.isoengnb_NO
dc.publisherSpringer Verlagnb_NO
dc.titleOptimization in offshore supply vessel planningnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber317-341nb_NO
dc.source.volume18nb_NO
dc.source.journalOptimization and Engineeringnb_NO
dc.source.issue1nb_NO
dc.identifier.doi10.1007/s11081-016-9315-4
dc.identifier.cristin1413111
dc.relation.projectNorges forskningsråd: 235518nb_NO
dc.relation.projectNorges forskningsråd: 205298nb_NO
dc.description.localcodeThis is the authors' accepted and refereed manuscript to the article. The final publication is available at link.springer.com via http://dx.doi.org/10.1007%2Fs11081-016-9315-4nb_NO
cristin.unitcode194,60,25,0
cristin.unitnameInstitutt for industriell økonomi og teknologiledelse
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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