Application of Artificial Intelligence (AI) methods for designing and analysis of Reconfigurable Cellular Manufacturing System (RCMS)

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dc.contributor.author Marwala, Tshilidzi
dc.contributor.author Xing, Bo
dc.contributor.author Nelwamondo, Fulufbelo V.
dc.contributor.author Battle, Kimberly
dc.contributor.author Gao, Wenjing
dc.date.accessioned 2012-07-24T09:28:50Z
dc.date.available 2012-07-24T09:28:50Z
dc.date.issued 2009
dc.identifier.citation IEEE Systems Management and Cybernetics (SMC), 2010: 4182-4189 en_US
dc.identifier.issn 978-1-4244-3523-4
dc.identifier.uri http://hdl.handle.net/10210/5266
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject Reconfigurable Cellular Manufacturing System en_US
dc.subject Artificial intelligence en_US
dc.subject Cellular Manufacturing System en_US
dc.subject Reconfigurable Manufacturing System en_US
dc.title Application of Artificial Intelligence (AI) methods for designing and analysis of Reconfigurable Cellular Manufacturing System (RCMS) en_US
dc.type Article en_US

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