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Product assembly and disassembly sequence optimization based on genetic algorithm and design for assembly methodologies

Product assembly and disassembly sequences are the most crucial operations in product lifecycle. In this paper, an Artificial Intelligence (AI) technique, namely Genetic Algorithm (GA) is proposed to optimize product components assembly and disassembly sequences.The proposed methodology is developed...

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Main Authors: Yasin, Azman, Puteh, Nurnasran, Daud, Ruslizam
Format: Conference or Workshop Item
Language:English
Published: 2009
Subjects:
QA76 Computer software
Online Access:http://repo.uum.edu.my/13551/1/PID236.pdf
http://repo.uum.edu.my/13551/
http://www.icoci.cms.net.my
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spelling my.uum.repo.135512015-04-02T07:03:06Z http://repo.uum.edu.my/13551/ Product assembly and disassembly sequence optimization based on genetic algorithm and design for assembly methodologies Yasin, Azman Puteh, Nurnasran Daud, Ruslizam QA76 Computer software Product assembly and disassembly sequences are the most crucial operations in product lifecycle. In this paper, an Artificial Intelligence (AI) technique, namely Genetic Algorithm (GA) is proposed to optimize product components assembly and disassembly sequences.The proposed methodology is developed and tested on an industrial product made of plastics with no integrated assembly and permanent joint parts.GA method is applied to determine the accuracy and optimum results based on 20 assembly and disassembly sequence solutions that was generated by the Design for Assembly methodology.The results indicated that GA based approach is able to obtain a near optimal solution for assembly and disassembly sequences. 2009-06-24 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/13551/1/PID236.pdf Yasin, Azman and Puteh, Nurnasran and Daud, Ruslizam (2009) Product assembly and disassembly sequence optimization based on genetic algorithm and design for assembly methodologies. In: International Conference on Computing and Informatics 2009 (ICOCI09), 24-25 June 2009, Legend Hotel, Kuala Lumpur. http://www.icoci.cms.net.my
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Yasin, Azman
Puteh, Nurnasran
Daud, Ruslizam
Product assembly and disassembly sequence optimization based on genetic algorithm and design for assembly methodologies
description Product assembly and disassembly sequences are the most crucial operations in product lifecycle. In this paper, an Artificial Intelligence (AI) technique, namely Genetic Algorithm (GA) is proposed to optimize product components assembly and disassembly sequences.The proposed methodology is developed and tested on an industrial product made of plastics with no integrated assembly and permanent joint parts.GA method is applied to determine the accuracy and optimum results based on 20 assembly and disassembly sequence solutions that was generated by the Design for Assembly methodology.The results indicated that GA based approach is able to obtain a near optimal solution for assembly and disassembly sequences.
format Conference or Workshop Item
author Yasin, Azman
Puteh, Nurnasran
Daud, Ruslizam
author_facet Yasin, Azman
Puteh, Nurnasran
Daud, Ruslizam
author_sort Yasin, Azman
title Product assembly and disassembly sequence optimization based on genetic algorithm and design for assembly methodologies
title_short Product assembly and disassembly sequence optimization based on genetic algorithm and design for assembly methodologies
title_full Product assembly and disassembly sequence optimization based on genetic algorithm and design for assembly methodologies
title_fullStr Product assembly and disassembly sequence optimization based on genetic algorithm and design for assembly methodologies
title_full_unstemmed Product assembly and disassembly sequence optimization based on genetic algorithm and design for assembly methodologies
title_sort product assembly and disassembly sequence optimization based on genetic algorithm and design for assembly methodologies
publishDate 2009
url http://repo.uum.edu.my/13551/1/PID236.pdf
http://repo.uum.edu.my/13551/
http://www.icoci.cms.net.my
_version_ 1644281216535363584
score 13.149126

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