DocumentCode
3416770
Title
Application of artificial intelligence (AI) methods for designing and analysis of reconfigurable cellular manufacturing system (RCMS)
Author
Xing, Bo ; Nelwamondo, Fulufhelo V. ; Battle, Kimberly ; Gao, Wenjing ; Marwala, Tshilidzi
Author_Institution
Fac. of Eng. & the Built Environ., Univ. of Johannesburg, Johannesburg, South Africa
fYear
2009
fDate
14-16 Jan. 2009
Firstpage
402
Lastpage
409
Abstract
This work focuses on the design and control of a novel hybrid manufacturing system: reconfigurable cellular manufacturing system (RCMS) by using artificial intelligence (AI) approach. It is hybrid as it combines the advantages of cellular manufacturing system (CMS) and reconfigurable manufacturing system (RMS). In addition to inheriting desirable properties from CMS and RMS, RCMS provides additional benefits including flexibility and the ability to respond to changing products, product mix and market conditions during its useful life, avoiding premature obsolescence of the manufacturing system. The emphasis of this research is the formation of reconfigurable manufacturing cell (RMC) which is the dynamic and logical clustering of some manufacturing resources, driven by specific customer orders, aiming at optimally fulfilling customers´ orders along with other RMCs in the RCMS.
Keywords
artificial intelligence; cellular manufacturing; pattern clustering; production engineering computing; artificial intelligence method; cellular manufacturing system; dynamic clustering; logical clustering; reconfigurable manufacturing system; Artificial intelligence; Cellular manufacturing; Collision mitigation; Design methodology; Machinery production industries; Manufacturing industries; Manufacturing systems; Mass production; Productivity; Virtual manufacturing; AI; ANN; RCMS; RMC;
fLanguage
English
Publisher
ieee
Conference_Titel
Adaptive Science & Technology, 2009. ICAST 2009. 2nd International Conference on
Conference_Location
Accra
ISSN
0855-8906
Print_ISBN
978-1-4244-3522-7
Electronic_ISBN
0855-8906
Type
conf
DOI
10.1109/ICASTECH.2009.5409694
Filename
5409694
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