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dc.contributor.authorOmholt-Jensen, Simen
dc.contributor.authorFagerholt, Kjetil
dc.contributor.authorMeisel, Frank
dc.date.accessioned2024-02-12T11:22:45Z
dc.date.available2024-02-12T11:22:45Z
dc.date.created2023-10-26T13:18:37Z
dc.date.issued2023
dc.identifier.citationLecture Notes in Computer Science (LNCS). 2023, 14239 185-201.en_US
dc.identifier.issn0302-9743
dc.identifier.urihttps://hdl.handle.net/11250/3116893
dc.description.abstractWe study the Tramp Ship Routing and Scheduling Problem with Bunker Optimization (TSRSPBO). The TSRSPBO includes, in addition to the routing and scheduling of the vessels in the given fleet, decisions about how much to bunker (refuel) in which ports. Furthermore, the cargo quantities to be transported are given in an interval, which means that determining the optimal transport quantities also becomes a decision. We propose an arc flow model and a solution method based on a reformulation into a path flow model that uses all feasible vessel routes (columns) as input. For each route, we determine the optimal bunker amounts and cargo quantities along the route. The path flow solution method is tested on a set of instances generated based on data from our case company. The computational results show that the path flow solution method outperforms the arc flow model solved by a commercial solver. We also present how chartering managers may use this as decision support in the negotiation of freight contracts and bunker prices.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.titleTramp Ship Routing with Bunker Optimization and Flexible Cargo Quantities: Case from Dry Bulk Shippingen_US
dc.title.alternativeTramp Ship Routing with Bunker Optimization and Flexible Cargo Quantities: Case from Dry Bulk Shippingen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holderThis version will not be available due to the publisher's copyright.en_US
dc.source.pagenumber185-201en_US
dc.source.volume14239en_US
dc.source.journalLecture Notes in Computer Science (LNCS)en_US
dc.identifier.doi10.1007/978-3-031-43612-3_11
dc.identifier.cristin2188828
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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