DC FieldValueLanguage
dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorWang, Sen_US
dc.creatorZhen, Len_US
dc.creatorXiao, Len_US
dc.creatorAttard, Men_US
dc.date.accessioned2021-08-13T06:13:36Z-
dc.date.available2021-08-13T06:13:36Z-
dc.identifier.issn0217-5959en_US
dc.identifier.urihttp://hdl.handle.net/10397/90657-
dc.language.isoenen_US
dc.publisherWorld Scientificen_US
dc.subjectBlockchainen_US
dc.subjectData-driven modelen_US
dc.subjectIntelligent port managementen_US
dc.subjectShip trafficen_US
dc.titleData-driven intelligent port management based on blockchainen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume38en_US
dc.identifier.issue3en_US
dc.identifier.doi10.1142/S0217595920400175en_US
dcterms.abstractThis paper proposes a blockchain-based framework to improve the efficiency of ship traffic in port. In the framework, ship agents, terminals, tug company, pilot station, and government share information and the information is stored in a blockchain. Based on the shared information, we discuss three categories of data-driven models that can improve the operations management of the above five parties. The first category is decisions made by a single party. The second category involves decisions of at least two ship agents. The third category relates to multi-party decision-making under uncertainty. This study hopes to stimulate maritime practitioners to embrace blockchain technology and data-driven approaches to enhance the competitiveness of the industry.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationAsia-Pacific journal of operational research, June 2020, v. 38, no. 3, 2040017en_US
dcterms.isPartOfAsia-Pacific journal of operational researchen_US
dcterms.issued2020-06-
dc.identifier.scopus2-s2.0-85096495022-
dc.identifier.eissn1793-7019en_US
dc.identifier.artn2040017en_US
dc.description.validate202108 bchyen_US
dc.description.oaNot applicableen_US
dc.identifier.FolderNumbera1003-n05-
dc.identifier.SubFormID2387-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2022.06.30en_US
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