Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98381
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dc.contributorDepartment of Logistics and Maritime Studies-
dc.creatorDing, Yen_US
dc.creatorJia, Sen_US
dc.creatorGu, Ten_US
dc.creatorLi, CLen_US
dc.date.accessioned2023-04-27T01:05:11Z-
dc.date.available2023-04-27T01:05:11Z-
dc.identifier.issn0092-2102en_US
dc.identifier.urihttp://hdl.handle.net/10397/98381-
dc.language.isoenen_US
dc.publisherInstitute for Operations Research and the Management Sciencesen_US
dc.rights© 2016 INFORMSen_US
dc.rightsThis is the accepted manuscript of the following article: Ding, Y., Jia, S., Gu, T., & Li, C. L. (2016). SGICT builds an optimization-based system for daily berth planning. Interfaces, 46(4), 281-296, which has been published in final form at https://doi.org/10.1287/inte.2016.0848.en_US
dc.subjectBerth allocationen_US
dc.subjectContainer terminal optimizationen_US
dc.subjectDecision support systemen_US
dc.subjectQuay crane allocationen_US
dc.titleSGICT builds an optimization-based system for daily berth planningen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage281en_US
dc.identifier.epage296en_US
dc.identifier.volume46en_US
dc.identifier.issue4en_US
dc.identifier.doi10.1287/inte.2016.0848en_US
dcterms.abstractIn container terminal operations, the allocation of berth-side resources to serve calling vessels is called berth planning. For each vessel, berth planning generally involves determining the time interval for berth stay (i.e., berthing and departure times and the handling of start and end times), the berthing position along the quay, and the number of quay cranes that will be dedicated to handle it. The objectives are to maximize the vessel service levels (i.e., minimize the departure lateness) and minimize operating costs during a planning horizon. In this paper, we describe the implementation of an operations research-based solution at Shanghai Guandong International Container Terminal (SGICT), one of the largest container terminals at the Port of Shanghai, to optimize its daily berth planning. We embed our solution into a decision support system (BAPOPT), which provides SGICT's planners with effective and executable berth plans. Using BAPOPT, SGICT expects to improve its vessel-handling productivity by at least 15 percent. With the support of BAPOPT, SGICT has started shifting its operational emphasis from reactive real-time dispatching to proactive resource planning, helping to relieve its operations department from a considerable amount of tedious work and improve the efficiency of its planning department.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInterfaces, July-Aug. 2016, v. 46, no. 4, p. 281-296en_US
dcterms.isPartOfInterfacesen_US
dcterms.issued2016-07-
dc.identifier.scopus2-s2.0-84979695573-
dc.identifier.eissn1526-551Xen_US
dc.description.validate202304 bckw-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberLMS-0491-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of Chinaen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6663907-
dc.description.oaCategoryGreen (AAM)en_US
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