Improved cellular manufacturing system using Particle Swarm Optimization
Other Title(s)
أنظمة التصنيع الخلوية المطورة باستخدام استمثال عناصر السرب (Optimization Swarm Particle)
Author
Source
The Iraqi Journal for Mechanical and Materials Engineering
Issue
Vol. 18, Issue 4 (31 Dec. 2018), pp.644-657, 14 p.
Publisher
University of Babylon College of Engineering
Publication Date
2018-12-31
Country of Publication
Iraq
No. of Pages
14
Main Subjects
Abstract EN
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 .
American Psychological Association (APA)
Kazim, Dirgham Ayham. 2018. Improved cellular manufacturing system using Particle Swarm Optimization. The Iraqi Journal for Mechanical and Materials Engineering،Vol. 18, no. 4, pp.644-657.
https://search.emarefa.net/detail/BIM-935640
Modern Language Association (MLA)
Kazim, Dirgham Ayham. Improved cellular manufacturing system using Particle Swarm Optimization. The Iraqi Journal for Mechanical and Materials Engineering Vol. 18, no. 4 (Dec. 2018), pp.644-657.
https://search.emarefa.net/detail/BIM-935640
American Medical Association (AMA)
Kazim, Dirgham Ayham. Improved cellular manufacturing system using Particle Swarm Optimization. The Iraqi Journal for Mechanical and Materials Engineering. 2018. Vol. 18, no. 4, pp.644-657.
https://search.emarefa.net/detail/BIM-935640
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 655-657
Record ID
BIM-935640