A regression model for vessel turnaround time
Turnaround time in port industry portrays capability and ability of container terminal in providing services. This study is motivated by the rapid development in port container terminal, in providing efficient and effective services and high port productivity, with the aim to achieve optimum port pe...
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2006
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my.utm.35392017-09-06T04:49:08Z http://eprints.utm.my/id/eprint/3539/ A regression model for vessel turnaround time Mokhtar, Kasypi Shah, Muhammad Zaly NA Architecture Turnaround time in port industry portrays capability and ability of container terminal in providing services. This study is motivated by the rapid development in port container terminal, in providing efficient and effective services and high port productivity, with the aim to achieve optimum port performance. Research arises from the issue between port throughputs (i.e. Teus- Twenty Footer Equivalent Unit) and port facilities (e.g. quay crane, prime movers etc), as currently it is not possible to determine significant factor(s) that influence port performance, in terms of turnaround time. For this purpose, the research proposes a regression model that relates these variables, i.e. turnaround time and port facilities. Two ports in Port Klang – Westport and Northport – are used as the subjects from which actual vessel call data collected between August 1 and August 31, 2005 are used. The results show that vessel turnaround time is highly correlated with crane allocation as well as the number of containers loaded and discharged. The benefits of such model include giving port operators opportunity to determine optimum crane allocation to achieve the desired turnaround time given the quantity of containers to be processed. 2006 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/3539/1/kasypi.pdf Mokhtar, Kasypi and Shah, Muhammad Zaly (2006) A regression model for vessel turnaround time. In: Tokyo Academic, Industry & Cultural Integration Tour 2006, 10-19 December 2006, Shibaura Institute of Technology, Japan. (Unpublished) |
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NA Architecture Mokhtar, Kasypi Shah, Muhammad Zaly A regression model for vessel turnaround time |
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Turnaround time in port industry portrays capability and ability of container terminal in providing services. This study is motivated by the rapid development in port container terminal, in providing efficient and effective services and high port productivity, with the aim to achieve optimum port performance. Research arises from the issue between port throughputs (i.e. Teus- Twenty Footer Equivalent Unit) and port facilities (e.g. quay crane, prime movers etc), as currently it is not possible to determine significant factor(s) that influence port performance, in terms of turnaround time. For this purpose, the research proposes a regression model that relates these variables, i.e. turnaround time and port facilities. Two ports in Port Klang – Westport and Northport – are used as the subjects from which actual vessel call data collected between August 1 and August 31, 2005 are used. The results show that vessel turnaround time is highly correlated with crane allocation as well as the number of containers loaded and discharged. The benefits of such model include giving port operators opportunity to determine optimum crane allocation to achieve the desired turnaround time given the quantity of containers to be processed. |
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Conference or Workshop Item |
author |
Mokhtar, Kasypi Shah, Muhammad Zaly |
author_facet |
Mokhtar, Kasypi Shah, Muhammad Zaly |
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Mokhtar, Kasypi |
title |
A regression model for vessel turnaround time |
title_short |
A regression model for vessel turnaround time |
title_full |
A regression model for vessel turnaround time |
title_fullStr |
A regression model for vessel turnaround time |
title_full_unstemmed |
A regression model for vessel turnaround time |
title_sort |
regression model for vessel turnaround time |
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2006 |
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http://eprints.utm.my/id/eprint/3539/1/kasypi.pdf http://eprints.utm.my/id/eprint/3539/ |
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