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...

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Main Author: Dhurgham A Kadhim
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
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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
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