Parallel Processing for Stowage Planning (I)

Maritime container transportation is growing significantly worldwide and container vessels are also increasing in size because of the economic scales. Ports are forced to deal with both larger container vessels and more container boxes. With respect to this evolution, container terminals are assigne...

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Main Author: Han, Min Tun.
Other Authors: Hsu Wen Jing
Format: Final Year Project
Language:English
Published: 2013
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Online Access:http://hdl.handle.net/10356/51999
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-519992023-03-03T20:42:10Z Parallel Processing for Stowage Planning (I) Han, Min Tun. Hsu Wen Jing School of Computer Engineering Parallel and Distributed Computing Centre DRNTU::Engineering::Computer science and engineering Maritime container transportation is growing significantly worldwide and container vessels are also increasing in size because of the economic scales. Ports are forced to deal with both larger container vessels and more container boxes. With respect to this evolution, container terminals are assigned an increasingly important role as key hubs within the overall transportation network. It is crucial for the container terminals to increase the efficiency of stacking and transport of the large number of containers boxes to and from the ship in order to reduce the ship turn-around time. Changes in spreader design have had a dramatic impact on efficiency of container handling. In this project, we are going to investigate the effects of changing Spreader design from Single-Lift to Multi-Lift Spreader by applying single-cycle and double-cycle strategy. Moreover, a model and corresponding algorithms will be proposed in order to demonstrate the efficiency gains associated with double cycling and Multi-Lift spreader. Furthermore, an implementation with java language for total ship turn-around time will be illustrated in a Crane Schedule Displayer. Apart from that, the different TEU handled in percentage and various combinations of containers handled in percentage for unloading and loading will be presented. Lastly, results on the test cases (real-life data) of Agate Ship and H11 Ship will be evaluated and an improvement on ship turn-around time for Multi-Lift will be discussed. Bachelor of Engineering (Computer Engineering) 2013-04-19T03:30:34Z 2013-04-19T03:30:34Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/51999 en Nanyang Technological University 81 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Han, Min Tun.
Parallel Processing for Stowage Planning (I)
description Maritime container transportation is growing significantly worldwide and container vessels are also increasing in size because of the economic scales. Ports are forced to deal with both larger container vessels and more container boxes. With respect to this evolution, container terminals are assigned an increasingly important role as key hubs within the overall transportation network. It is crucial for the container terminals to increase the efficiency of stacking and transport of the large number of containers boxes to and from the ship in order to reduce the ship turn-around time. Changes in spreader design have had a dramatic impact on efficiency of container handling. In this project, we are going to investigate the effects of changing Spreader design from Single-Lift to Multi-Lift Spreader by applying single-cycle and double-cycle strategy. Moreover, a model and corresponding algorithms will be proposed in order to demonstrate the efficiency gains associated with double cycling and Multi-Lift spreader. Furthermore, an implementation with java language for total ship turn-around time will be illustrated in a Crane Schedule Displayer. Apart from that, the different TEU handled in percentage and various combinations of containers handled in percentage for unloading and loading will be presented. Lastly, results on the test cases (real-life data) of Agate Ship and H11 Ship will be evaluated and an improvement on ship turn-around time for Multi-Lift will be discussed.
author2 Hsu Wen Jing
author_facet Hsu Wen Jing
Han, Min Tun.
format Final Year Project
author Han, Min Tun.
author_sort Han, Min Tun.
title Parallel Processing for Stowage Planning (I)
title_short Parallel Processing for Stowage Planning (I)
title_full Parallel Processing for Stowage Planning (I)
title_fullStr Parallel Processing for Stowage Planning (I)
title_full_unstemmed Parallel Processing for Stowage Planning (I)
title_sort parallel processing for stowage planning (i)
publishDate 2013
url http://hdl.handle.net/10356/51999
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