DC FieldValueLanguage
dc.contributorDepartment of Electrical Engineering-
dc.creatorFeng, Xen_US
dc.creatorHu, Sen_US
dc.creatorGu, Wen_US
dc.creatorJin, Xen_US
dc.creatorLu, Yen_US
dc.date.accessioned2021-05-13T08:31:52Z-
dc.date.available2021-05-13T08:31:52Z-
dc.identifier.issn1366-5545en_US
dc.identifier.urihttp://hdl.handle.net/10397/89864-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.subjectBuffer areaen_US
dc.subjectCrude oil terminalsen_US
dc.subjectOne-way channelen_US
dc.subjectPort operationsen_US
dc.subjectSimulationen_US
dc.titleA simulation-based approach for assessing seaside infrastructure improvement measures for large marine crude oil terminalsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume142en_US
dc.identifier.doi10.1016/j.tre.2020.102051en_US
dcterms.abstractWe develop detailed simulation models for examining how various seaside infrastructure improvement measures of a marine crude oil terminal can increase its maximum oil throughput, reduce tanker delays, and minimize the total system cost over a certain planning horizon. The models account for special navigation constraints for oil tankers, realistic tidal constraints, and practical priority rules for different tanker types at the Rizhao Shihua Oil Terminal in China. Results show that the most cost-effective measure is adding a buffer to increase the one-way channel's tanker-handling capacity. This novel, low-cost measure thus holds much promise for real-world implementation.-
dcterms.accessRightsembargoed access-
dcterms.bibliographicCitationTransportation research. Part E, Logistics and transportation review, Oct. 2020, v. 142, 102051, p. 1-20, https://doi.org/10.1016/j.tre.2020.102051en_US
dcterms.isPartOfTransportation research. Part E, Logistics and transportation reviewen_US
dcterms.issued2020-10-
dc.identifier.scopus2-s2.0-85089002704-
dc.identifier.eissn1878-5794en_US
dc.identifier.artn102051en_US
dc.description.validate202105 bchy-
dc.description.oaNot applicable-
dc.identifier.FolderNumbera0783-n12-
dc.identifier.SubFormID1712-
dc.description.fundingSourceRGC-
dc.description.fundingTextEarly Career Scheme 25200614,General Research Fund 15217415-
dc.description.pubStatusEarly release-
dc.date.embargo2023.10.31en_US
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