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...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2012
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/48541 |
| _version_ | 1826112495671050240 |
|---|---|
| author | Lee, Lian Wei. |
| author2 | Hsu Wen Jing |
| author_facet | Hsu Wen Jing Lee, Lian Wei. |
| author_sort | Lee, Lian Wei. |
| collection | NTU |
| 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. |
| first_indexed | 2024-10-01T03:07:58Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/48541 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:07:58Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | ntu-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 |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computer applications::Physical sciences and engineering Lee, Lian Wei. Parallel processing for stowage planning (I) |
| title | 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_short | Parallel processing for stowage planning (I) |
| title_sort | parallel processing for stowage planning i |
| topic | DRNTU::Engineering::Computer science and engineering::Computer applications::Physical sciences and engineering |
| url | http://hdl.handle.net/10356/48541 |
| work_keys_str_mv | AT leelianwei parallelprocessingforstowageplanningi |