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A variable neighbourhood search heuristic for disruption management in offshore oil and gas logistics

dc.contributor.authorStålhane, Magnus
dc.contributor.authorAlbjerk, Nils
dc.contributor.authorDanielsen, Teodor
dc.contributor.authorKrey, Stian
dc.contributor.authorFagerholt, Kjetil
dc.date.accessioned2019-02-06T20:25:55Z
dc.date.available2019-02-06T20:25:55Z
dc.date.created2018-12-21T09:47:45Z
dc.date.issued2018-04-18
dc.identifier.citationJournal of the Operational Research Society nb_NO
dc.identifier.issn0160-5682
dc.identifier.urihttp://hdl.handle.net/11250/2584231
dc.description.abstractThis paper studies operational planning and disruption management in offshore oil and gas logistics. A significant amount of time is currently spent on operational planning, and major costs are caused by disruptions to the planned routes and schedules for the vessels supplying the offshore installations. The disruptions are mainly due to uncertain and harsh weather conditions. To be able to solve realistic instances of the planning problem, a variable neighbourhood search heuristic is proposed, and tested on instances based on data provided by the case company. The computational results show that the heuristic finds optimal solutions for all the problem instances where the optimal solution is known, and finds high-quality solution for larger instances.nb_NO
dc.description.abstractA variable neighbourhood search heuristic for disruption management in offshore oil and gas logisticsnb_NO
dc.language.isoengnb_NO
dc.publisherTaylor & Francis Onlinenb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectDisruption managementnb_NO
dc.subjectheuristicsnb_NO
dc.subjectoffshore supplynb_NO
dc.subjectvehicle routingnb_NO
dc.titleA variable neighbourhood search heuristic for disruption management in offshore oil and gas logisticsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.rights.holderThis is an Accepted Manuscript of an article published by Taylor & Francis Group in Journal of the Operational Research Society  on 18/04/2018, available online: https://doi.org/10.1080/01605682.2018.1452534nb_NO
dc.source.journalJournal of the Operational Research Societynb_NO
dc.identifier.doi10.1080/01605682.2018.1452534
dc.identifier.cristin1646566
cristin.unitcode7566,7,0,0
cristin.unitnameEnergi og transport
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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