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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/4002

Title: Application of artificial intelligence (AI) methods for designing and analysis of reconfigurable cellular manufacturing system (RCMS)
Authors: Xing, B
Nelwamondo, FV
Battle, K
Gao, W
Marwala, T
Keywords: Reconfigurable cellular manufacturing system
RCMS
Reconfigurable manufacturing cell
RMC
Artificial intelligence
Cellular manufacturing system
CMS
Reconfigurable manufacturing system
RMS
Adaptive science
Issue Date: Dec-2009
Publisher: IEEE
Citation: Xing, B, Nelwamondo, FV et al 2009. Application of artificial intelligence (AI) methods for designing and analysis of reconfigurable cellular manufacturing system (RCMS). 2nd International Conference on Adaptive Science & Technology (ICAST 2009), Accra, Ghana, 14-16 December 2009, pp 402-409
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.
Description: Copyright: 2009 IEEE. 2nd International Conference on Adaptive Science & Technology (ICAST 2009), Accra, Ghana, 14-16 December 2009.
URI: http://hdl.handle.net/10204/4002
Appears in Collections:Information security
General science, engineering & technology

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