Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/106116
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dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorWu, YWen_US
dc.creatorLu, Yen_US
dc.creatorWang, SAen_US
dc.creatorZhen, Len_US
dc.date.accessioned2024-05-03T00:45:17Z-
dc.date.available2024-05-03T00:45:17Z-
dc.identifier.urihttp://hdl.handle.net/10397/106116-
dc.language.isoenen_US
dc.publisherAmerican Institute of Mathematical Sciencesen_US
dc.rights© 2023 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)en_US
dc.rightsThe following publication Yiwei Wu, Yao Lu, Shuaian Wang, Lu Zhen. New challenges in fleet deployment considering EU oil sanctions[J]. Electronic Research Archive, 2023, 31(8): 4507-4529 is available at https://dx.doi.org/10.3934/era.2023230.en_US
dc.subjectEU oil sanctionsen_US
dc.subjectTanker shippingen_US
dc.subjectFleet deploymenten_US
dc.subjectFleet repositioningen_US
dc.subjectShip flagen_US
dc.subjectSpeed optimizationen_US
dc.titleNew challenges in fleet deployment considering EU oil sanctionsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage4507en_US
dc.identifier.epage4529en_US
dc.identifier.volume31en_US
dc.identifier.issue8en_US
dc.identifier.doi10.3934/era.2023230en_US
dcterms.abstractDue to European Union (EU) oil sanctions, tanker shipping companies need to redeploy their tankers by moving tankers between ship routes with the consideration of flag states of tankers, but the literature lacks quantitative methods for this problem. To fill this research gap, this paper studies an integrated problem of fleet deployment, fleet repositioning, round trip completion, and speed optimization with the consideration of flag states of tankers. The problem is formulated as a nonlinear integer programming model to minimize the total cost, including the fleet repositioning cost, the mismatch cost, and the fuel cost, during the planning period while satisfying the total crude oil transportation demand of each voyage and the minimum shipping frequency. Some linearization methods are used to transform the nonlinear model to a linear one which can be directly solved by Gurobi. The average solving time required for 17 computational instances is 4.5 minutes, which validates the effectiveness of the proposed model. Sensitivity analyses, including the influences of the unit fuel price, the total crude oil transportation demand, the mismatch cost of completing a round trip by a deployed tanker, and the repositioning cost for each deployed tanker, on operations decisions, are conducted to obtain managerial insights.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationElectronic research archive, 2023, v. 31, no. 8, p. 4507-4529en_US
dcterms.isPartOfElectronic research archiveen_US
dcterms.issued2023-
dc.identifier.isiWOS:001012360600002-
dc.identifier.eissn2688-1594en_US
dc.description.validate202405 bcrcen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOS-
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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