AGV scheduling and routing for automated container terminals

Routing and scheduling for Automated Guided Vehicles (AGVs) between the vessels and the storage yard is investigated. AGVs are constrained to move in a predefined network of roads and changing their locations over time. AGVs are continuously assigned a transportation task with a deadlines, once the...

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Main Author: Xu, Yan
Other Authors: Huang Shell Ying
Format: Final Year Project
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/66815
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-668152023-03-03T20:54:31Z AGV scheduling and routing for automated container terminals Xu, Yan Huang Shell Ying School of Computer Engineering DRNTU::Engineering Routing and scheduling for Automated Guided Vehicles (AGVs) between the vessels and the storage yard is investigated. AGVs are constrained to move in a predefined network of roads and changing their locations over time. AGVs are continuously assigned a transportation task with a deadlines, once the previous task is completed. Given such an environment, a path planner algorithm is presented to find a collision-free and deadlock-free route in the network that takes the AGV from a given start node to a destination node in minimum time. Our scheduler selects the AGV to be planned in an appropriate order to minimize tardiness in delivering containers. The problem is solved by: (1) dynamic path planning algorithm using a space-time spanning tree, and (2) scheduler using sliding window. Algorithms for the two sub-problems are presented and experimental results of the algorithms is analyzed Bachelor of Engineering (Computer Engineering) 2016-04-27T02:28:04Z 2016-04-27T02:28:04Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/66815 en Nanyang Technological University 40 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
spellingShingle DRNTU::Engineering
Xu, Yan
AGV scheduling and routing for automated container terminals
description Routing and scheduling for Automated Guided Vehicles (AGVs) between the vessels and the storage yard is investigated. AGVs are constrained to move in a predefined network of roads and changing their locations over time. AGVs are continuously assigned a transportation task with a deadlines, once the previous task is completed. Given such an environment, a path planner algorithm is presented to find a collision-free and deadlock-free route in the network that takes the AGV from a given start node to a destination node in minimum time. Our scheduler selects the AGV to be planned in an appropriate order to minimize tardiness in delivering containers. The problem is solved by: (1) dynamic path planning algorithm using a space-time spanning tree, and (2) scheduler using sliding window. Algorithms for the two sub-problems are presented and experimental results of the algorithms is analyzed
author2 Huang Shell Ying
author_facet Huang Shell Ying
Xu, Yan
format Final Year Project
author Xu, Yan
author_sort Xu, Yan
title AGV scheduling and routing for automated container terminals
title_short AGV scheduling and routing for automated container terminals
title_full AGV scheduling and routing for automated container terminals
title_fullStr AGV scheduling and routing for automated container terminals
title_full_unstemmed AGV scheduling and routing for automated container terminals
title_sort agv scheduling and routing for automated container terminals
publishDate 2016
url http://hdl.handle.net/10356/66815
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