S. Kamal et Li. Burke, FACT - A NEW NEURAL-NETWORK-BASED CLUSTERING-ALGORITHM FOR GROUP TECHNOLOGY, International Journal of Production Research, 34(4), 1996, pp. 919-946
Citations number
63
Categorie Soggetti
Engineering,"Operatione Research & Management Science
This paper introduces the FACT (Fuzzy art with Add Clustering Techniqu
e) algorithm which is a new neural network-based clustering technique.
FACT can be trained to cluster machines and parts for cellular manufa
cturing under a multiple objective environment. The existing GT cluste
ring techniques are mainly concerned with grouping parts and machines
based on only one criterion which is the parts' processing routes. The
FACT algorithm is able to consider several similarity criteria such a
s parts' processing routes, design requirements of parts, processing t
ime on each machine, and demand for each part. The FACT algorithm, whi
ch is based on the fuzzy ART neural network, is powerful enough to sol
ve problems of real-world sized complexity.