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dc.contributor.authorTirado, Gregorio
dc.contributor.authorHvattum, Lars Magnus
dc.contributor.authorFagerholt, Kjetil
dc.contributor.authorCordeau, Jean-François
dc.date.accessioned2017-10-02T14:19:06Z
dc.date.available2017-10-02T14:19:06Z
dc.date.created2012-12-11T11:12:09Z
dc.date.issued2012
dc.identifier.citationComputers & Operations Research. 2013, 40 (1), 253-263.nb_NO
dc.identifier.issn0305-0548
dc.identifier.urihttp://hdl.handle.net/11250/2457838
dc.description.abstractMaritime transportation plays a central role in international trade, being responsible for the majority of long-distance shipments in terms of volume. One of the key aspects in the planning of maritime transportation systems is the routing of ships. While static and deterministic vehicle routing problems have been extensively studied in the last decades and can now be solved effectively with metaheuristics, many industrial applications are both dynamic and stochastic. In this spirit, this paper addresses a dynamic and stochastic maritime transportation problem arising in industrial shipping. Three heuristics adapted to this problem are considered and their performance in minimizing transportation costs is assessed. Extensive computational experiments show that the use of stochastic information within the proposed solution methods yields average cost savings of 2.5% on a set of realistic test instances.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleHeuristics for dynamic and stochastic routing in industrial shippingnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber253-263nb_NO
dc.source.volume40nb_NO
dc.source.journalComputers & Operations Researchnb_NO
dc.source.issue1nb_NO
dc.identifier.doi10.1016/j.cor.2012.06.011
dc.identifier.cristin971036
dc.relation.projectNorges forskningsråd: 205298nb_NO
dc.description.localcode© 2012. This is the authors’ accepted and refereed manuscript to the article. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/nb_NO
cristin.unitcode194,60,25,0
cristin.unitnameInstitutt for industriell økonomi og teknologiledelse
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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