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Article: A queuing model analysis of the performance of the Hong Kong container terminals

TitleA queuing model analysis of the performance of the Hong Kong container terminals
Authors
KeywordsContainer terminal
Queuing theory
Performance
Hong Kong
Issue Date2000
PublisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/03081060.asp
Citation
Transportation Planning and Technology, 2000, v. 23 n. 4, p. 323-351 How to Cite?
AbstractThe growth of container‐handling industry and its impact on Hong Kong's economy have aroused considerable attention in recent decades. Within the recent twenty years, the rapid growth of container‐handling industry has led Hong Kong to become one of the world's busiest container port with over 11 million T.E.U. s (Twenty Feet Equivalent Units) container throughput in one year period. Also the container throughput is expected to reach 15.5 million T.E.U. s by year 2004. As the success of container‐handling industry is significant, many studies have been conducted relating to this subject. In this paper, an application of a queuing theory model to Kwai Chung Container Terminals is developed and described. Specifically, we consider seasonal changes at the Terminals and focus on their effects on inter‐arrival time and service time of container vessel. A crucial component of the study relates to the empirical data collected. Besides verifying the validity of the model, those data provide guidelines for developing schemes to manage the seasonal fluctuation of container throughput of the Terminals.
Persistent Identifierhttp://hdl.handle.net/10722/211357
ISSN
2015 Impact Factor: 0.706
2015 SCImago Journal Rankings: 0.494

 

DC FieldValueLanguage
dc.contributor.authorShabayek, AAE-
dc.contributor.authorYeung, WW-
dc.date.accessioned2015-07-08T09:46:52Z-
dc.date.available2015-07-08T09:46:52Z-
dc.date.issued2000-
dc.identifier.citationTransportation Planning and Technology, 2000, v. 23 n. 4, p. 323-351-
dc.identifier.issn0308-1060-
dc.identifier.urihttp://hdl.handle.net/10722/211357-
dc.description.abstractThe growth of container‐handling industry and its impact on Hong Kong's economy have aroused considerable attention in recent decades. Within the recent twenty years, the rapid growth of container‐handling industry has led Hong Kong to become one of the world's busiest container port with over 11 million T.E.U. s (Twenty Feet Equivalent Units) container throughput in one year period. Also the container throughput is expected to reach 15.5 million T.E.U. s by year 2004. As the success of container‐handling industry is significant, many studies have been conducted relating to this subject. In this paper, an application of a queuing theory model to Kwai Chung Container Terminals is developed and described. Specifically, we consider seasonal changes at the Terminals and focus on their effects on inter‐arrival time and service time of container vessel. A crucial component of the study relates to the empirical data collected. Besides verifying the validity of the model, those data provide guidelines for developing schemes to manage the seasonal fluctuation of container throughput of the Terminals.-
dc.languageeng-
dc.publisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/03081060.asp-
dc.relation.ispartofTransportation Planning and Technology-
dc.rightsPREPRINT This is a preprint of an article whose final and definitive form has been published in the [JOURNAL TITLE] [year of publication] [copyright Taylor & Francis]; [JOURNAL TITLE] is available online at: http://www.informaworld.com/smpp/ with the open URL of your article POSTPRINT This is an Accepted Manuscript of an article published by Taylor & Francis in [JOURNAL TITLE] on [date of publication], available online: http://wwww.tandfonline.com/[Article DOI] -
dc.subjectContainer terminal-
dc.subjectQueuing theory-
dc.subjectPerformance-
dc.subjectHong Kong-
dc.titleA queuing model analysis of the performance of the Hong Kong container terminals-
dc.typeArticle-
dc.identifier.doi10.1080/03081060008717656-
dc.identifier.hkuros49002-
dc.identifier.volume23-
dc.identifier.issue4-
dc.identifier.spage323-
dc.identifier.epage351-
dc.publisher.placeNew York, United States-

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