Neural networks and the part family/ machine group formation problem in cellular manufacturing: A framework using fuzzy ART
Journal of Manufacturing SystemsPublished 1 January 1995
Laura I. Burke, Soheyla Kamal
Citations44
SJR quartileQ1
SJR score3.63
SNIP4.18
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TL;DR
Fuzzy ART, based on a similarity measure from fuzzy set theory, shows great promise over other approaches in part family/machine group formation in cellular manufacturing and is applied to several test problems of part family formation.
Abstract
We apply the fuzzy adaptive resonance theory (ART) neural network to the part family/machine group formation problem in cellular manufacturing. Previous neural network applications have demonstrated the potential role of competitive learning and ART networks in part family/machine cell formation, but they have a number of shortcomings. Fuzzy ART, based on a similarity measure from fuzzy set theory, shows great promise over other approaches. We present results for fuzzy ART applied to several test problems of part family formation and give an extension for systematically generating alternative solutions in the problem domain.
Keywords
Engineering
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