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dc.contributor.authorAlbjerk, Nils
dc.contributor.authorDanielsen, Teodor
dc.contributor.authorKrey, Stian
dc.contributor.authorStålhane, Magnus
dc.contributor.authorFagerholt, Kjetil
dc.date.accessioned2018-01-31T14:26:38Z
dc.date.available2018-01-31T14:26:38Z
dc.date.created2016-10-30T11:43:13Z
dc.date.issued2016
dc.identifier.citationLecture Notes in Computer Science. 2016, 9855 50-64.nb_NO
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/11250/2481059
dc.description.abstractThis paper considers a vessel pickup and delivery problem that arises in the case of disruptions in the supply vessel logistics in the offshore oil and gas industry. The problem can be modelled as a multi-vehicle pickup and delivery problem where delivery orders are transported by supply vessels from an onshore supply base (depot) to a set of offshore oil and gas installations, while pickup orders are to be transported from the installations back to the supply base (i.e. backload). We present both an arc-flow and a path-flow formulation for the problem. For the path-flow formulation we also propose an efficient dynamic programming algorithm for generating the paths, which represent feasible vessel voyages. It is shown through a computational study on various realistic test instances provided by a major oil and gas company that the path-flow model is superior with respect to computational performance.nb_NO
dc.language.isoengnb_NO
dc.publisherSpringer Verlagnb_NO
dc.titleA vessel pickup and delivery problem from the disruption management in offshore supply vessel operationsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber50-64nb_NO
dc.source.volume9855nb_NO
dc.source.journalLecture Notes in Computer Sciencenb_NO
dc.identifier.doi10.1007/978-3-319-44896-1_4
dc.identifier.cristin1395593
dc.description.localcodeThis is a post-peer-review, pre-copyedit version of an article published in [International Conference on Computational Logistics]. The final authenticated version is available online at: https://link.springer.com/chapter/10.1007%2F978-3-319-44896-1_4nb_NO
cristin.unitcode194,60,25,0
cristin.unitnameInstitutt for industriell økonomi og teknologiledelse
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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