Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/94213
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dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorZhuge, Den_US
dc.creatorWang, Sen_US
dc.creatorWang, DZWen_US
dc.date.accessioned2022-08-11T01:08:39Z-
dc.date.available2022-08-11T01:08:39Z-
dc.identifier.issn0191-2615en_US
dc.identifier.urihttp://hdl.handle.net/10397/94213-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.rights© 2020 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2020. 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 Zhuge, D., Wang, S., & Wang, D. Z. (2021). A joint liner ship path, speed and deployment problem under emission reduction measures. Transportation Research Part B: Methodological, 144, 155-173 is available at https://doi.org/10.1016/j.trb.2020.12.006.en_US
dc.subjectCarbon taxen_US
dc.subjectDynamic programmingen_US
dc.subjectFleet deploymenten_US
dc.subjectPath and speed optimizationen_US
dc.subjectSulfur emission regulationsen_US
dc.subjectVessel speed reduction incentive program (VSRIP)en_US
dc.titleA joint liner ship path, speed and deployment problem under emission reduction measuresen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage155en_US
dc.identifier.epage173en_US
dc.identifier.volume144en_US
dc.identifier.doi10.1016/j.trb.2020.12.006en_US
dcterms.abstractThis paper addresses a joint ship path, speed, and deployment problem in a liner shipping company considering three emission reduction measures, including sulfur emission regulations, carbon tax, and vessel speed reduction incentive programs (VSRIPs). Given a set of service routes and the total number of available ships, the proposed problem determines how many ships should be deployed on each route and how to design sailing path and speed for each leg. A mixed-integer non-linear programming model is presented for minimizing the total cost of all routes, i.e., fuel cost, carbon tax, and fixed cost, minus dockage refund. The different impacts of the three emission reduction measures on sailing path and speed complicate the problem. Some important properties are obtained by analyzing the proposed model. Combining these properties with a dynamic programming approach, a tailored method is developed to solve the problem. Based on real data, extensive numerical experiments are conducted to examine the validity of the proposed model and the efficiency of the solution method. The computational results demonstrate that the proposed model can contribute to significant cost savings for shipping companies.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationTransportation research. Part B, Methodological, Feb. 2021, v. 144, p. 155-173en_US
dcterms.isPartOfTransportation research. Part B, Methodologicalen_US
dcterms.issued2021-02-
dc.identifier.scopus2-s2.0-85099255577-
dc.identifier.eissn1879-2367en_US
dc.description.validate202208 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberLMS-0049-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of Chinaen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS42647278-
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