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dc.contributor.authorAgra, Agostinho
dc.contributor.authorChristiansen, Marielle
dc.contributor.authorDelgado, Alexandrino
dc.date.accessioned2017-09-04T06:47:12Z
dc.date.available2017-09-04T06:47:12Z
dc.date.created2013-01-18T09:46:45Z
dc.date.issued2013
dc.identifier.citationTransportation Science. 2013, 47 (1), 108-124.nb_NO
dc.identifier.issn0041-1655
dc.identifier.urihttp://hdl.handle.net/11250/2452881
dc.description.abstractWe consider a short sea fuel oil distribution problem occurring in the archipelago at Cape Verde. Here, an oil company is responsible for the routing and scheduling of ships between the islands such that the demand for various fuel oil products is satisfied during the planning horizon. Inventory management considerations are taken into account at the demand side but not at the supply side. The ports have restricted opening hours each day, so multiple time windows are considered. In contrast to the ships in many other studies within ship routing and scheduling, ships here spend considerable time in the ports compared to at sea. Hence, the time in port is modeled in detail by incorporating both a variable (un)loading time and a setup time for loading different products in the same ports. A mathematical model of the problem is presented and it includes a combined continuous and discrete time horizon because of the multiple time windows and a daily varying consumption rate of the various products in the different ports. We discuss several strategies to improve the proposed model, such as tightening bounds, using extended formulations, and including valid inequalities. The computational study shows that the real problem can be solved to optimality within reasonable time by the use of improved formulations based on a combination of such strategies.nb_NO
dc.language.isoengnb_NO
dc.publisherINFORMSnb_NO
dc.titleMixed integer formulatins for a short sea fuel oil distribution problemnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionsubmittedVersionnb_NO
dc.source.pagenumber108-124nb_NO
dc.source.volume47nb_NO
dc.source.journalTransportation Sciencenb_NO
dc.source.issue1nb_NO
dc.identifier.doi10.1287/trsc.1120.0416
dc.identifier.cristin991814
dc.relation.projectNorges forskningsråd: 205298nb_NO
dc.description.localcodeThis is the authors' manuscript to the article (preprint).nb_NO
cristin.unitcode194,67,50,0
cristin.unitnameInstitutt for industriell økonomi og teknologiledelse
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode2


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