engleski

A neural network approach in cellular manufacturing

In order to achieve high productivity under the turbulent production environment, production systems have been changed into cellular manufacturing systems. That involves dividing of production system into some cells by collecting similar products and machines in manufacturing process. In this paper, we show the modification of the binary self-organizing neural network algorithm (ART 1) by changing the weight vector updating equation and using a set of supplementary procedures. The effectiveness of the proposed algorithm is shown by comparing of grouping efficiency with some other well-known approaches.

neural network, adaptive resonance theory, cellular manufacturing

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