Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98837
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dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorWang, SAen_US
dc.creatorLiu, ZYen_US
dc.creatorQu, XBen_US
dc.date.accessioned2023-05-30T03:16:46Z-
dc.date.available2023-05-30T03:16:46Z-
dc.identifier.issn0361-1981en_US
dc.identifier.urihttp://hdl.handle.net/10397/98837-
dc.language.isoenen_US
dc.publisherU.S. National Research Council, Transportation Research Boarden_US
dc.rightsThis is the accepted version of the publication Wang, S., Liu, Z., & Qu, X., Minimax regret model for liner shipping fleet deployment with uncertain demand, Transportation Research Record (Volume 2549, Issue 1) pp.45-53. Copyright © 2016 (National Academy of Sciences). DOI: 10.3141/2549-06en_US
dc.titleMinimax Regret Model for Liner Shipping Fleet Deployment with Uncertain Demanden_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage45en_US
dc.identifier.epage53en_US
dc.identifier.volume2549en_US
dc.identifier.issue1en_US
dc.identifier.doi10.3141/2549-06en_US
dcterms.abstractThis paper proposes a minimax regret model for liner shipping fleet deployment with uncertain demand. The minimax regret model does not need the probability distribution function of the demand, and the model is consistent with how network planners are evaluated. However, the model is large because of the incorporation of all possible demand scenarios. A dynamic scenario inclusion method is proposed for efficiently solving the minimax model with only a small subset of the demand scenarios. A case study based on an Asia–Europe–Oceania liner shipping network demonstrates the applicability of the proposed model and method.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationTransportation research record : journal of the Transportation Research Board, Jan. 2016. v. 2549, no. 1, p. 45-53en_US
dcterms.isPartOfTransportation research record : journal of the Transportation Research Boarden_US
dcterms.issued2016-01-
dc.identifier.isiWOS:000381446900006-
dc.description.validate202305 bcwhen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberLMS-0535-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNatural Science Foundation of China; Fundamental Research Funds for the Central Universitiesen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6728041-
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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