Anchorage capacity analysis using simulation
With the substantial growth in marine traffic, anchorage space is now in high demand in certain hub ports. To provide decision support for port authorities, we have analyzed the usage of anchorages in recent years. The demands on the anchorages arise from the dynamically changing vessel mix and simi...
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sg-ntu-dr.10356-914932020-05-28T07:17:16Z Anchorage capacity analysis using simulation Huang, Shell Ying Song, Tiancheng Hsu, Wen Jing He, Yuxiong De Souza, Charles Ye, Rong Chen, Chuanyu Nautiyal, Stuti School of Computer Engineering International Conference on Harbor, Maritime & Multimodal Logistics Modelling and Simulation (2009 : Spain) DRNTU::Engineering::Computer science and engineering::Computer applications::Physical sciences and engineering With the substantial growth in marine traffic, anchorage space is now in high demand in certain hub ports. To provide decision support for port authorities, we have analyzed the usage of anchorages in recent years. The demands on the anchorages arise from the dynamically changing vessel mix and similarly complex service patterns. The utilization and the capacity of an anchorage space also depend heavily on the dispatching and allocation rules as well as the shape and areas of the anchorage. The complexity of the system studied is therefore beyond the current analytical tools, and hence simulation provides an effective means for the study. In this paper, we present a simulation-based capacity analysis on anchorages. The simulation model built is able to match the current scenarios well, and the analysis by simulation proves very useful in assessing anchorage utilization and capacity for future scenarios. Accepted version 2011-03-08T04:39:11Z 2019-12-06T18:06:38Z 2011-03-08T04:39:11Z 2019-12-06T18:06:38Z 2009 2009 Conference Paper Huang, S. Y., Hsu, W. J., He, Y., Song, T., Charles, D. S., & Ye, R. (2009). Anchorage capacity analysis using simulation. The International Conference on Harbor, Maritime & Multimodal Logistics Modelling and Simulation HMS (2009:Spain), pp.1-6. https://hdl.handle.net/10356/91493 http://hdl.handle.net/10220/6754 144229 en 6 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering::Computer applications::Physical sciences and engineering Huang, Shell Ying Song, Tiancheng Hsu, Wen Jing He, Yuxiong De Souza, Charles Ye, Rong Chen, Chuanyu Nautiyal, Stuti Anchorage capacity analysis using simulation |
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With the substantial growth in marine traffic, anchorage space is now in high demand in certain hub ports. To provide decision support for port authorities, we have analyzed the usage of anchorages in recent years. The demands on the anchorages arise from the dynamically changing vessel mix and similarly complex service patterns. The utilization and the capacity of an anchorage space also depend heavily on the dispatching and allocation rules as well as the shape and areas of the anchorage. The complexity of the system studied is therefore beyond the current analytical tools, and hence simulation provides an effective means for the study. In this paper, we present a simulation-based capacity analysis on anchorages. The simulation model built is able to match the current scenarios well, and the analysis by simulation proves very useful in assessing anchorage utilization and capacity for future scenarios. |
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School of Computer Engineering |
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School of Computer Engineering Huang, Shell Ying Song, Tiancheng Hsu, Wen Jing He, Yuxiong De Souza, Charles Ye, Rong Chen, Chuanyu Nautiyal, Stuti |
format |
Conference or Workshop Item |
author |
Huang, Shell Ying Song, Tiancheng Hsu, Wen Jing He, Yuxiong De Souza, Charles Ye, Rong Chen, Chuanyu Nautiyal, Stuti |
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Huang, Shell Ying |
title |
Anchorage capacity analysis using simulation |
title_short |
Anchorage capacity analysis using simulation |
title_full |
Anchorage capacity analysis using simulation |
title_fullStr |
Anchorage capacity analysis using simulation |
title_full_unstemmed |
Anchorage capacity analysis using simulation |
title_sort |
anchorage capacity analysis using simulation |
publishDate |
2011 |
url |
https://hdl.handle.net/10356/91493 http://hdl.handle.net/10220/6754 |
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1681058713704595456 |