Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98978
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorWu, Yen_US
dc.creatorHuang, Yen_US
dc.creatorWang, Hen_US
dc.creatorZhen, Len_US
dc.date.accessioned2023-06-08T01:08:25Z-
dc.date.available2023-06-08T01:08:25Z-
dc.identifier.urihttp://hdl.handle.net/10397/98978-
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 Wu, Y., Huang, Y., Wang, H., & Zhen, L. (2023). Nonlinear programming for fleet deployment, voyage planning and speed optimization in sustainable liner shipping. Electronic Research Archive, 31(1), 147-168 is available at https://doi.org/10.3934/era.2023008.en_US
dc.subjectCarbonen_US
dc.subjectEEOIen_US
dc.subjectFleet deployment optimizationen_US
dc.subjectMaritime decarbonizationen_US
dc.subjectVoyage planningen_US
dc.titleNonlinear programming for fleet deployment, voyage planning and speed optimization in sustainable liner shippingen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage147en_US
dc.identifier.epage168en_US
dc.identifier.volume31en_US
dc.identifier.issue1en_US
dc.identifier.doi10.3934/era.2023008en_US
dcterms.abstractLimiting carbon dioxide emissions is one of the main concerns of green shipping. As an important carbon intensity indicator, the Energy Efficiency Operational Index (EEOI) represents the energy efficiency level of each ship and can be used to guide the operations of ship fleets for liner companies. Few studies have investigated an integrated optimization problem of fleet deployment, voyage planning and speed optimization with consideration of the influences of sailing speed, displacement and voyage option on fuel consumption. To fill this research gap, this study formulates a nonlinear mixed-integer programming model capturing all these elements and subsequently proposes a tailored exact algorithm for this problem. Extensive numerical experiments are conducted to show the efficiency of the proposed algorithm. The largest numerical experiment, with 7 ship routes and 32 legs, can be solved to optimality in four minutes. Moreover, managerial insights are obtained according to sensitivity analyses with crucial parameters, including the weighting factor, unit price of fuel, Suez Canal toll fee per ship, weekly fixed operating cost and cargo load in each leg.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationElectronic research archive, 2023, v. 31, no. 1, p. 147-168en_US
dcterms.isPartOfElectronic research archiveen_US
dcterms.issued2023-
dc.identifier.scopus2-s2.0-85142229646-
dc.identifier.eissn2688-1594en_US
dc.description.validate202306 bckwen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera2089-
dc.identifier.SubFormID46529-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
10.3934_era.2023008.pdf9.77 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

56
Citations as of Dec 29, 2024

Downloads

62
Citations as of Dec 29, 2024

SCOPUSTM   
Citations

11
Citations as of Jan 2, 2025

WEB OF SCIENCETM
Citations

8
Citations as of Jan 2, 2025

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.