Parallel processing for stowage planning (I)

Singapore is well-known for having one of the world’s busiest port and maritime operations. It was rated the top busiest port by volume and second by Twenty-foot equivalent unit (TEU) quantity. An enormous challenge face by both Singapore and all major ports in the world is the ability to be able to...

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Main Author: Lee, Lian Wei.
Other Authors: Hsu Wen Jing
Format: Final Year Project
Language:English
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/10356/48541
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-485412023-03-03T20:33:23Z Parallel processing for stowage planning (I) Lee, Lian Wei. Hsu Wen Jing School of Computer Engineering Parallel and Distributed Computing Centre DRNTU::Engineering::Computer science and engineering::Computer applications::Physical sciences and engineering Singapore is well-known for having one of the world’s busiest port and maritime operations. It was rated the top busiest port by volume and second by Twenty-foot equivalent unit (TEU) quantity. An enormous challenge face by both Singapore and all major ports in the world is the ability to be able to generate feasible stowage plan for ship. In the past, stowage plans were generated by human experts though experience. However, as years goes by, economic growth and free-trade agreement causes the number of ships and quantity of containers embarking in Singapore to increase, resulting in inefficiently in stowage planning by human expert. Hence storage plans generation algorithm for container ships became really crucial for the planning and allocations of containers on board the ship for loading and unloading purposes. In this project the algorithm has already been developed but it currently only utilizes one processor when running. In the current state of technological advancement, we have at our disposal multi-core processor, thus not utilizing multi-cores for processing is a great waste of processing power. Bachelor of Engineering (Computer Science) 2012-04-26T01:32:16Z 2012-04-26T01:32:16Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/48541 en Nanyang Technological University 45 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::Computer applications::Physical sciences and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering::Computer applications::Physical sciences and engineering
Lee, Lian Wei.
Parallel processing for stowage planning (I)
description Singapore is well-known for having one of the world’s busiest port and maritime operations. It was rated the top busiest port by volume and second by Twenty-foot equivalent unit (TEU) quantity. An enormous challenge face by both Singapore and all major ports in the world is the ability to be able to generate feasible stowage plan for ship. In the past, stowage plans were generated by human experts though experience. However, as years goes by, economic growth and free-trade agreement causes the number of ships and quantity of containers embarking in Singapore to increase, resulting in inefficiently in stowage planning by human expert. Hence storage plans generation algorithm for container ships became really crucial for the planning and allocations of containers on board the ship for loading and unloading purposes. In this project the algorithm has already been developed but it currently only utilizes one processor when running. In the current state of technological advancement, we have at our disposal multi-core processor, thus not utilizing multi-cores for processing is a great waste of processing power.
author2 Hsu Wen Jing
author_facet Hsu Wen Jing
Lee, Lian Wei.
format Final Year Project
author Lee, Lian Wei.
author_sort Lee, Lian Wei.
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 2012
url http://hdl.handle.net/10356/48541
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