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dc.contributor.authorHuang, Kuanchengen_US
dc.contributor.authorSuprayogien_US
dc.contributor.authorAriantinien_US
dc.date.accessioned2017-04-21T06:56:00Z-
dc.date.available2017-04-21T06:56:00Z-
dc.date.issued2016en_US
dc.identifier.issn0308-8839en_US
dc.identifier.urihttp://dx.doi.org/10.1080/03088839.2016.1169449en_US
dc.identifier.urihttp://hdl.handle.net/11536/134186-
dc.description.abstractBerth planning plays an important role in improving the efficiency of a container terminal. This study focuses on the berth template problem (BTP), which determines the berthing windows of the calling ships within a planning horizon (e.g. a week) in a cyclical way. As a mid-term tactical decision problem, BTP provides the decision support for a terminal operator to negotiate the contracts with the shipping lines. This study develops an integer programming (IP) model aiming to minimize the total deviation, given the ship-dependent target times preferred by the shipping lines. To validate the model and illustrate the benefits of its use, we perform a numerical experiment based on operational data of a specific container terminal in Southeast Asia. Two IP-based heuristic methods are developed to take into account the decision framework of terminal operators in reaction to demand increases. The experiment results indicate that the model and the solution approaches can enhance the resource utilization and operational efficiency of container terminals.en_US
dc.language.isoen_USen_US
dc.subjectBerth template problemen_US
dc.subjectcontainer terminalen_US
dc.subjectinteger programmingen_US
dc.subjectheuristic methoden_US
dc.titleA continuous berth template design model with multiple wharfsen_US
dc.identifier.doi10.1080/03088839.2016.1169449en_US
dc.identifier.journalMARITIME POLICY & MANAGEMENTen_US
dc.citation.volume43en_US
dc.citation.issue6en_US
dc.citation.spage763en_US
dc.citation.epage775en_US
dc.contributor.department運輸與物流管理系 註:原交通所+運管所zh_TW
dc.contributor.departmentDepartment of Transportation and Logistics Managementen_US
dc.identifier.wosnumberWOS:000382585900008en_US
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