IMPROVED CELLULAR MANUFACTURING SYSTEM USING PARTICLE SWARM OPTIMIZATION
Cellular manufacturing system is the nerve of industry in our days and many studies and researches discussed in this field . In this research row materials need to cross long distance about thousand meters during the manufacturing process to be final product in ALWAZIRIA ELECRICAL MOTOR FACTORY the...
Main Author: | |
---|---|
Format: | Article |
Language: | Arabic |
Published: |
University of Babylon, Iraq Babil Engineering Collage
2019-01-01
|
Series: | Iraqi Journal for Mechanical and Materials Engineering |
Subjects: | |
Online Access: | http://www.iqjfmme.com/index.php/journala/article/view/223 |
id |
doaj-70b6eac906464491ad09b48de32bcb69 |
---|---|
record_format |
Article |
spelling |
doaj-70b6eac906464491ad09b48de32bcb692020-11-24T20:42:24ZaraUniversity of Babylon, Iraq Babil Engineering CollageIraqi Journal for Mechanical and Materials Engineering1819-20762313-37832019-01-01184IMPROVED CELLULAR MANUFACTURING SYSTEM USING PARTICLE SWARM OPTIMIZATIONDhurgham A Kadhim Cellular manufacturing system is the nerve of industry in our days and many studies and researches discussed in this field . In this research row materials need to cross long distance about thousand meters during the manufacturing process to be final product in ALWAZIRIA ELECRICAL MOTOR FACTORY the problem was needed to reduce the routing of row material flow and increase flexibility with saving same operation sequence . First segmented the facility into subsystems called cells and figured the system output .the research goes in two ways first assign the problem and parameter affected on production process secondly apply the particle swarm to the problem after writing the algorithms. The particle swarm technique shows great flexibility in scheduling purposes problem. Also the product will cross about 400 m instead of 1000 m before using PSO after extracted the result which it discussed and recommended to the future researcher . http://www.iqjfmme.com/index.php/journala/article/view/223manufacturing cellparticle swarm optimization |
collection |
DOAJ |
language |
Arabic |
format |
Article |
sources |
DOAJ |
author |
Dhurgham A Kadhim |
spellingShingle |
Dhurgham A Kadhim IMPROVED CELLULAR MANUFACTURING SYSTEM USING PARTICLE SWARM OPTIMIZATION Iraqi Journal for Mechanical and Materials Engineering manufacturing cell particle swarm optimization |
author_facet |
Dhurgham A Kadhim |
author_sort |
Dhurgham A Kadhim |
title |
IMPROVED CELLULAR MANUFACTURING SYSTEM USING PARTICLE SWARM OPTIMIZATION |
title_short |
IMPROVED CELLULAR MANUFACTURING SYSTEM USING PARTICLE SWARM OPTIMIZATION |
title_full |
IMPROVED CELLULAR MANUFACTURING SYSTEM USING PARTICLE SWARM OPTIMIZATION |
title_fullStr |
IMPROVED CELLULAR MANUFACTURING SYSTEM USING PARTICLE SWARM OPTIMIZATION |
title_full_unstemmed |
IMPROVED CELLULAR MANUFACTURING SYSTEM USING PARTICLE SWARM OPTIMIZATION |
title_sort |
improved cellular manufacturing system using particle swarm optimization |
publisher |
University of Babylon, Iraq Babil Engineering Collage |
series |
Iraqi Journal for Mechanical and Materials Engineering |
issn |
1819-2076 2313-3783 |
publishDate |
2019-01-01 |
description |
Cellular manufacturing system is the nerve of industry in our days and many studies
and researches discussed in this field . In this research row materials need to cross long
distance about thousand meters during the manufacturing process to be final product in
ALWAZIRIA ELECRICAL MOTOR FACTORY the problem was needed to reduce the
routing of row material flow and increase flexibility with saving same operation sequence .
First segmented the facility into subsystems called cells and figured the system output .the
research goes in two ways first assign the problem and parameter affected on production
process secondly apply the particle swarm to the problem after writing the algorithms. The
particle swarm technique shows great flexibility in scheduling purposes problem. Also the
product will cross about 400 m instead of 1000 m before using PSO after extracted the
result which it discussed and recommended to the future researcher .
|
topic |
manufacturing cell particle swarm optimization |
url |
http://www.iqjfmme.com/index.php/journala/article/view/223 |
work_keys_str_mv |
AT dhurghamakadhim improvedcellularmanufacturingsystemusingparticleswarmoptimization |
_version_ |
1716822390971826176 |