Alleviating the Collision States and Fleet Optimization by Introducing a New Generation of Automated Guided Vehicle Systems

The aim of the current research is to propose a new generation of automated guided vehicle systems for alleviating the collision states in material handling systems where the automated guided vehicles movements are allowed to be both unidirectional and bidirectional. The objective function is to max...

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Main Author: Parham Azimi
Format: Article
Language:English
Published: Wiley 2011-01-01
Series:Modelling and Simulation in Engineering
Online Access:http://dx.doi.org/10.1155/2011/210628
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author Parham Azimi
author_facet Parham Azimi
author_sort Parham Azimi
collection DOAJ
description The aim of the current research is to propose a new generation of automated guided vehicle systems for alleviating the collision states in material handling systems where the automated guided vehicles movements are allowed to be both unidirectional and bidirectional. The objective function is to maximize the average annual profit in an FMS system using a simulation method. Despite several researches done in this field, this criterion has been studied rarely. The current study includes some new changes in AGV design for preventing some common problems such as congestions and deadlocks based on real profits/costs analysis in a flexible manufacturing system. For this reason, some experiments have been carried out to study the effects of several empty vehicle dispatching rules on average annual profit. The results show that the proposed framework is efficient and robust enough for industrial environments.
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spelling doaj-art-b7feaaa86f68404eb3ade9352c5063052025-08-20T02:19:19ZengWileyModelling and Simulation in Engineering1687-55911687-56052011-01-01201110.1155/2011/210628210628Alleviating the Collision States and Fleet Optimization by Introducing a New Generation of Automated Guided Vehicle SystemsParham Azimi0Department of Mechanical and Industrial Engineering, Islamic Azad University of Qazvin, Qazvin, IranThe aim of the current research is to propose a new generation of automated guided vehicle systems for alleviating the collision states in material handling systems where the automated guided vehicles movements are allowed to be both unidirectional and bidirectional. The objective function is to maximize the average annual profit in an FMS system using a simulation method. Despite several researches done in this field, this criterion has been studied rarely. The current study includes some new changes in AGV design for preventing some common problems such as congestions and deadlocks based on real profits/costs analysis in a flexible manufacturing system. For this reason, some experiments have been carried out to study the effects of several empty vehicle dispatching rules on average annual profit. The results show that the proposed framework is efficient and robust enough for industrial environments.http://dx.doi.org/10.1155/2011/210628
spellingShingle Parham Azimi
Alleviating the Collision States and Fleet Optimization by Introducing a New Generation of Automated Guided Vehicle Systems
Modelling and Simulation in Engineering
title Alleviating the Collision States and Fleet Optimization by Introducing a New Generation of Automated Guided Vehicle Systems
title_full Alleviating the Collision States and Fleet Optimization by Introducing a New Generation of Automated Guided Vehicle Systems
title_fullStr Alleviating the Collision States and Fleet Optimization by Introducing a New Generation of Automated Guided Vehicle Systems
title_full_unstemmed Alleviating the Collision States and Fleet Optimization by Introducing a New Generation of Automated Guided Vehicle Systems
title_short Alleviating the Collision States and Fleet Optimization by Introducing a New Generation of Automated Guided Vehicle Systems
title_sort alleviating the collision states and fleet optimization by introducing a new generation of automated guided vehicle systems
url http://dx.doi.org/10.1155/2011/210628
work_keys_str_mv AT parhamazimi alleviatingthecollisionstatesandfleetoptimizationbyintroducinganewgenerationofautomatedguidedvehiclesystems