Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98292
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.contributorMainland Development Officeen_US
dc.creatorWu, Len_US
dc.creatorWang, Sen_US
dc.date.accessioned2023-04-27T01:04:34Z-
dc.date.available2023-04-27T01:04:34Z-
dc.identifier.issn0361-1981en_US
dc.identifier.urihttp://hdl.handle.net/10397/98292-
dc.language.isoenen_US
dc.publisherU.S. National Research Council, Transportation Research Boarden_US
dc.rightsThis is the accepted version of the publication Wu, L., & Wang, S., Joint deployment of quay cranes and yard cranes in container terminals at a tactical level, Transportation Research Record, 2672(9), pp. 35-46. Copyright © 2018 National Academy of Sciences: Transportation Research Board. DOI: 10.1177/0361198118780881en_US
dc.titleJoint deployment of quay cranes and yard cranes in container terminals at a tactical levelen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage35en_US
dc.identifier.epage46en_US
dc.identifier.volume2672en_US
dc.identifier.issue9en_US
dc.identifier.doi10.1177/0361198118780881en_US
dcterms.abstractThis paper discusses tactical joint quay crane (QC) and yard crane (YC) deployment in container terminals. The deployments of QCs and YCs are critical for the efficiency of container terminals. Although they are closely intertwined, the deployments of QCs and YCs are usually sequential. This paper proposes a mixed-integer programming model for the joint deployment of QCs and YCs in container terminals. The objective of the model is to minimize the weighted vessel turnaround time and the weighted delayed workload for external truck service in yard blocks, both of great importance for a container terminal but rarely considered together in the literature. This paper proves that the studied problem is NP-hard in the strong sense. Case studies demonstrate that the proposed model can obtain better solutions than the sequential method. This paper also investigates the most effective combinations of QCs and YCs for a container terminal at various demand levels.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationTransportation research record : journal of the Transportation Research Board, Dec. 2018, v. 2672, no. 9, p. 35-46en_US
dcterms.isPartOfTransportation research record : journal of the Transportation Research Boarden_US
dcterms.issued2018-12-
dc.identifier.scopus2-s2.0-85052574663-
dc.description.validate202304 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberLMS-0253-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of Chinaen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS24587218-
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Wu_Joint_Deployment_Quay.pdfPre-Published version1.08 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

73
Citations as of Apr 14, 2025

Downloads

74
Citations as of Apr 14, 2025

SCOPUSTM   
Citations

5
Citations as of Jun 6, 2025

WEB OF SCIENCETM
Citations

3
Citations as of Oct 10, 2024

Google ScholarTM

Check

Altmetric


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