Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/108817
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dc.contributorCollege of Professional and Continuing Education-
dc.creatorWen, X-
dc.creatorChen, Q-
dc.creatorYin, YQ-
dc.creatorLau, YY-
dc.date.accessioned2024-08-27T04:40:46Z-
dc.date.available2024-08-27T04:40:46Z-
dc.identifier.urihttp://hdl.handle.net/10397/108817-
dc.language.isoenen_US
dc.publisherMDPI AGen_US
dc.rights© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Wen X, Chen Q, Yin Y-Q, Lau Y-y. Green Vessel Scheduling with Weather Impact and Emission Control Area Consideration. Mathematics. 2023; 11(24):4874 is available at https://doi.org/10.3390/math11244874.en_US
dc.subjectEmission control areaen_US
dc.subjectFuzzy programmingen_US
dc.subjectShip schedulingen_US
dc.subjectSpeed optimizationen_US
dc.subjectWeather impacten_US
dc.titleGreen vessel scheduling with weather impact and emission control area considerationen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume11-
dc.identifier.issue24-
dc.identifier.doi10.3390/math11244874-
dcterms.abstractEmissions of maritime transport have been a critical research topic with the substantial growth in the global shipping industry, encompassing both the expansion of the world fleet and the increased distances it has been covering recently. The International aritime Organization (IMO) has enforced some regulations to mitigate ship Greenhouse Gas (GHG) emissions, which affect vessels’ operational practice, and further affect service reliability. In this paper, some compliance methods (two-speed strategy, fuel switching, and LNG) against Emission Control Areas (ECAs) at the operational level are examined regarding if and how they impact the liner shipping schedule and service reliability; meanwhile, uncertain weather conditions and port times, as the main uncertain factors, are also involved. Then, a bi-objective fuzzy programming model is formulated and solved by the augmented ε-constraint approach, which generates a set of Pareto solutions by balancing the economic and environmental sustainability. Some findings can be concluded through the experimental results, including that, firstly, to meet uncertain weather conditions at sea requires strong robustness; secondly, ECA regulations can negatively affect the liner shipping service level; moreover, slow steaming is an immediate and effective measure to reduce GHG emissions; and, furthermore, ship routing choice could have a significant influence on ship emissions and service reliability.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationMathematics, Dec. 2023, v. 11, no. 24, 4874-
dcterms.isPartOfMathematics-
dcterms.issued2023-12-
dc.identifier.scopus2-s2.0-85180455927-
dc.identifier.eissn2227-7390-
dc.identifier.artn4874-
dc.description.validate202408 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextPhilosophy and Social Science Fund for Higher Education Institutions of Jiangsu Education Department; Fujian Provincial Department of Education; Building a New Highland for Marine Scientific Research and Innovation in Xiamen; Natural Science Fund Project of Jimei Universityen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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