Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98368
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dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorWang, Sen_US
dc.creatorWang, Xen_US
dc.date.accessioned2023-04-27T01:05:06Z-
dc.date.available2023-04-27T01:05:06Z-
dc.identifier.issn0191-2615en_US
dc.identifier.urihttp://hdl.handle.net/10397/98368-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.rights© 2016 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/.en_US
dc.rightsThe following publication Wang, S., & Wang, X. (2016). A polynomial-time algorithm for sailing speed optimization with containership resource sharing. Transportation Research Part B: Methodological, 93, 394-405 is available at https://doi.org/10.1016/j.trb.2016.08.003.en_US
dc.subjectBi-section searchen_US
dc.subjectBunker fuelen_US
dc.subjectContainershipen_US
dc.subjectPolynomial-time algorithmen_US
dc.subjectSailing speeden_US
dc.subjectTransit timeen_US
dc.titleA polynomial-time algorithm for sailing speed optimization with containership resource sharingen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage394en_US
dc.identifier.epage405en_US
dc.identifier.volume93en_US
dc.identifier.issuePart Aen_US
dc.identifier.doi10.1016/j.trb.2016.08.003en_US
dcterms.abstractThe sailing speed optimization problem aims to determine the optimal cruising speeds of ships by balancing the number of ships required on services, the fuel consumption, and the level of service provided for customers. The level of service can be incorporated into a sailing speed optimization model from the perspective of supply chain management or from the perspective of shipping lines. We design a polynomial-time algorithm workable to solve the two models based on bi-section search methods. The novelties of the algorithm include constructing a new parameter on which the bi-section search will be executed and deriving a near-optimal solution by taking advantage of the problem structure. We also provide theoretical results that guarantee the validity of the polynomial-time algorithm.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationTransportation research. Part B, Methodological, Nov. 2016, v. 93, pt. A, p. 394-405en_US
dcterms.isPartOfTransportation research. Part B, Methodologicalen_US
dcterms.issued2016-11-
dc.identifier.scopus2-s2.0-84989859428-
dc.identifier.eissn1879-2367en_US
dc.description.validate202304 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberLMS-0458-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6683331-
dc.description.oaCategoryGreen (AAM)en_US
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