Abstract
Cellular manufacturing is a wide world and many study and researches discussed are concerning with it because of the large demand in market and wheel technology push the scientist to find tools that can stand with this fast change in demand according specific market , so that they invent the best way to deal with optimization purpose. In this research the dealing with cellular optimization in such a way that can be manageable by AI and using type of AI that named natural optimization . The applying of genetic algorithms was carried out on factory of electrical motor also all data was taken from the factory which is depend on the position and sequence of operations took place in the factory . The theory in this field were also taking in consideration and the applications was carried out . the research deals with problem in two way theoretically that can take in consideration the positions of machines inside the plant and its equations that covers with some constraints and the secondly the routing of part during product life cycle and execute results and applying it on factory configuration . There are multi solutions (results ) in the research for the problem that can achieve the flexibility , simplicity and also desired distance
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Al-Qadisiyah for Computer Science and Mathematics
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
