Product assembly sequence optimization based on genetic algorithm
Link to publisher's homepage at http://www.enggjournals.com/
Saved in:
Main Authors: | , , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
Engg Journals Publications
2014
|
Subjects: | |
Online Access: | http://dspace.unimap.edu.my:80/dspace/handle/123456789/35212 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.unimap-35212 |
---|---|
record_format |
dspace |
spelling |
my.unimap-352122014-06-09T08:49:16Z Product assembly sequence optimization based on genetic algorithm Azman, Yasin Nurnasran, Puteh Ruslizam, Daud, Dr. Mazni, Omar Sharifah Lailee, Syed-Abdullah yazman@uum.edu.my nasran@uum.edu.my ruslizam@unimap.edu.my mazni@isiswa.uitm.edu.my shlailee@perlis.uitm.edu.my Genetic algorithm Product sequence assembly Design for assembly Artificial intelligence Link to publisher's homepage at http://www.enggjournals.com/ Genetic algorithm (GA) is a search technique used in computing to find approximate solution to optimization and search problem based on the theory of natural selection. This study investigates the application of GA in optimizing product assembly sequences. The objective is to minimize the time taken for the parts to be assembled into a unit product. A single objective GA is used to obtain the optimal assembly sequence, exhibiting the minimum time taken. The assembly experiment is done using a case study product and results were compared with manual assembly sequences using the ‘Design for Assembly’ (DFA) method. The results indicate that GA can be used to obtain a near optimal solution for minimizing the process time in sequence assembly. This shows that GA can be applied as a tool for assembly sequence planning that can be implemented at the design process to obtain faster result than the traditional methods. 2014-06-09T08:49:16Z 2014-06-09T08:49:16Z 2010-12 Article International Journal on Computer Science and Engineering, vol. 2(9), 2010, pages 3065-3070 0975-3397 http://www.enggjournals.com/ijcse/issue.html?issue=20100209 http://dspace.unimap.edu.my:80/dspace/handle/123456789/35212 en Engg Journals Publications |
institution |
Universiti Malaysia Perlis |
building |
UniMAP Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Malaysia Perlis |
content_source |
UniMAP Library Digital Repository |
url_provider |
http://dspace.unimap.edu.my/ |
language |
English |
topic |
Genetic algorithm Product sequence assembly Design for assembly Artificial intelligence |
spellingShingle |
Genetic algorithm Product sequence assembly Design for assembly Artificial intelligence Azman, Yasin Nurnasran, Puteh Ruslizam, Daud, Dr. Mazni, Omar Sharifah Lailee, Syed-Abdullah Product assembly sequence optimization based on genetic algorithm |
description |
Link to publisher's homepage at http://www.enggjournals.com/ |
author2 |
yazman@uum.edu.my |
author_facet |
yazman@uum.edu.my Azman, Yasin Nurnasran, Puteh Ruslizam, Daud, Dr. Mazni, Omar Sharifah Lailee, Syed-Abdullah |
format |
Article |
author |
Azman, Yasin Nurnasran, Puteh Ruslizam, Daud, Dr. Mazni, Omar Sharifah Lailee, Syed-Abdullah |
author_sort |
Azman, Yasin |
title |
Product assembly sequence optimization based on genetic algorithm |
title_short |
Product assembly sequence optimization based on genetic algorithm |
title_full |
Product assembly sequence optimization based on genetic algorithm |
title_fullStr |
Product assembly sequence optimization based on genetic algorithm |
title_full_unstemmed |
Product assembly sequence optimization based on genetic algorithm |
title_sort |
product assembly sequence optimization based on genetic algorithm |
publisher |
Engg Journals Publications |
publishDate |
2014 |
url |
http://dspace.unimap.edu.my:80/dspace/handle/123456789/35212 |
_version_ |
1643797755940831232 |
score |
13.222552 |