Simulation of automated guided vehicle in flexible manufacturing system
This report discusses and demonstrates the scheduling of production orders in the flexible manufacturing system (FMS) aided by automated guided vehicles (AGVs). A realistic simulation is to be developed given the impact line 2.0 testbed layout. Three-dimensional (3-D) component models such as arm ro...
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2021
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sg-ntu-dr.10356-1541272023-07-07T18:34:31Z Simulation of automated guided vehicle in flexible manufacturing system Lee, Jia Li Su Rong School of Electrical and Electronic Engineering RSu@ntu.edu.sg Engineering::Electrical and electronic engineering This report discusses and demonstrates the scheduling of production orders in the flexible manufacturing system (FMS) aided by automated guided vehicles (AGVs). A realistic simulation is to be developed given the impact line 2.0 testbed layout. Three-dimensional (3-D) component models such as arm robots, machines, conveyors, and AGVs will be established using visual components (VC) software. A reconfigurable controller based on a discrete-event framework is then applied to the simulated environment to verify the correctness of the controller and evaluate the system's performance for the scheduled production order. Unfortunately, there is no manufacturing system capable of producing infinite materials under the ideal condition. Thus, to complete the supply, it will require the assistance of materials handling systems and AGVs fleet management system. Also, AGVs has been increasingly popular nowadays in the modern manufacturing system and are introduced in the production line to help increase production efficiency and replace human labour. Hence it is implemented in the simulation as well. Bachelor of Engineering (Electrical and Electronic Engineering) 2021-12-17T08:19:23Z 2021-12-17T08:19:23Z 2021 Final Year Project (FYP) Lee, J. L. (2021). Simulation of automated guided vehicle in flexible manufacturing system. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/154127 https://hdl.handle.net/10356/154127 en application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering Lee, Jia Li Simulation of automated guided vehicle in flexible manufacturing system |
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This report discusses and demonstrates the scheduling of production orders in the flexible manufacturing system (FMS) aided by automated guided vehicles (AGVs). A realistic simulation is to be developed given the impact line 2.0 testbed layout. Three-dimensional (3-D) component models such as arm robots, machines, conveyors, and AGVs will be established using visual components (VC) software. A reconfigurable controller based on a discrete-event framework is then applied to the simulated environment to verify the correctness of the controller and evaluate the system's performance for the scheduled production order. Unfortunately, there is no manufacturing system capable of producing infinite materials under the ideal condition. Thus, to complete the supply, it will require the assistance of materials handling systems and AGVs fleet management system. Also, AGVs has been increasingly popular nowadays in the modern manufacturing system and are introduced in the production line to help increase production efficiency and replace human labour. Hence it is implemented in the simulation as well. |
author2 |
Su Rong |
author_facet |
Su Rong Lee, Jia Li |
format |
Final Year Project |
author |
Lee, Jia Li |
author_sort |
Lee, Jia Li |
title |
Simulation of automated guided vehicle in flexible manufacturing system |
title_short |
Simulation of automated guided vehicle in flexible manufacturing system |
title_full |
Simulation of automated guided vehicle in flexible manufacturing system |
title_fullStr |
Simulation of automated guided vehicle in flexible manufacturing system |
title_full_unstemmed |
Simulation of automated guided vehicle in flexible manufacturing system |
title_sort |
simulation of automated guided vehicle in flexible manufacturing system |
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Nanyang Technological University |
publishDate |
2021 |
url |
https://hdl.handle.net/10356/154127 |
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1772827595307483136 |