A framework for automated real time management of container handling equipment
The predictability in operations coupled with optimizing software have been able to make an automated container terminal functioning like one well-tuned machine with various parts synchronized with each other. To achieve better predictability and better synchronization among different types of conta...
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2012
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sg-ntu-dr.10356-485362023-03-03T20:45:16Z A framework for automated real time management of container handling equipment Nguyen, Phuong Ly. Huang Shell Ying School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling DRNTU::Engineering::Computer science and engineering::Computer applications::Physical sciences and engineering The predictability in operations coupled with optimizing software have been able to make an automated container terminal functioning like one well-tuned machine with various parts synchronized with each other. To achieve better predictability and better synchronization among different types of container handling equipment in a conventional terminal, we propose a framework for the terminal operation control system which employs a close loop of information flow. Real time equipment status is continuous fed into the control system. Predicted future status will be generated and used by the system dispatchers to make decisions. The dispatchers of different types of equipment will cooperate in a master-slave relationship with the objective of keeping the quay cranes operating as fast as they can. This is to achieve one of the most important objective of container terminal operations: minimization of vessel turnaround time. This is a position paper where some results on some parts of the framework have been published Bachelor of Engineering (Computer Science) 2012-04-26T01:13:52Z 2012-04-26T01:13:52Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/48536 en Nanyang Technological University 58 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling DRNTU::Engineering::Computer science and engineering::Computer applications::Physical sciences and engineering Nguyen, Phuong Ly. A framework for automated real time management of container handling equipment |
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The predictability in operations coupled with optimizing software have been able to make an automated container terminal functioning like one well-tuned machine with various parts synchronized with each other. To achieve better predictability and better synchronization among different types of container handling equipment in a conventional terminal, we propose a framework for the terminal operation control system which employs a close loop of information flow. Real time equipment status is continuous fed into the control system. Predicted future status will be generated and used by the system dispatchers to make decisions. The dispatchers of different types of equipment will cooperate in a master-slave relationship with the objective of keeping the quay cranes operating as fast as they can. This is to achieve one of the most important objective of container terminal operations: minimization of vessel turnaround time. This is a position paper where some results on some parts of the framework have been published |
author2 |
Huang Shell Ying |
author_facet |
Huang Shell Ying Nguyen, Phuong Ly. |
format |
Final Year Project |
author |
Nguyen, Phuong Ly. |
author_sort |
Nguyen, Phuong Ly. |
title |
A framework for automated real time management of container handling equipment |
title_short |
A framework for automated real time management of container handling equipment |
title_full |
A framework for automated real time management of container handling equipment |
title_fullStr |
A framework for automated real time management of container handling equipment |
title_full_unstemmed |
A framework for automated real time management of container handling equipment |
title_sort |
framework for automated real time management of container handling equipment |
publishDate |
2012 |
url |
http://hdl.handle.net/10356/48536 |
_version_ |
1759854726058344448 |