Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98390
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dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorZhen, Len_US
dc.creatorShen, Ten_US
dc.creatorWang, Sen_US
dc.creatorYu, Sen_US
dc.date.accessioned2023-04-27T01:05:15Z-
dc.date.available2023-04-27T01:05:15Z-
dc.identifier.issn0925-5273en_US
dc.identifier.urihttp://hdl.handle.net/10397/98390-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2015 Elsevier B.V. All rights reserved.en_US
dc.rights© 2015. 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 Zhen, L., Shen, T., Wang, S., & Yu, S. (2016). Models on ship scheduling in transshipment hubs with considering bunker cost. International Journal of Production Economics, 173, 111-121 is available at https://doi.org/10.1016/j.ijpe.2015.12.008.en_US
dc.subjectBunker costen_US
dc.subjectMaritime transportationen_US
dc.subjectPort operationsen_US
dc.subjectShipping lineen_US
dc.titleModels on ship scheduling in transshipment hubs with considering bunker costen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage111en_US
dc.identifier.epage121en_US
dc.identifier.volume173en_US
dc.identifier.doi10.1016/j.ijpe.2015.12.008en_US
dcterms.abstractThis paper studies a decision problem for scheduling ships' starting operation time in a transshipment hub with considering the bunker cost and the transshipment cost of containers. Based on the information about the handing capacity of the container port in each period, the port operator makes a proper decision and informs the shipping companies about the start operation days of each liner route. The optimized decision may help shipping companies significantly reduce the cost. This study proposes a mixed integer programming model. The NP-hardness of the problem is proved. A local branching based solution method is also developed for solving the model. Extensive numerical experiments demonstrate the optimality of the solution by the proposed method is less than 3% for large-scale problem instances.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInternational journal of production economics, Mar. 2016, v. 173, p. 111-121en_US
dcterms.isPartOfInternational journal of production economicsen_US
dcterms.issued2016-03-
dc.identifier.scopus2-s2.0-84959486533-
dc.description.validate202304 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberLMS-0512-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China; Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning; Shanghai Social Science Research Programen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6622557-
dc.description.oaCategoryGreen (AAM)en_US
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