Manufacturing resources modeling based on features for manufacturability

Manufacturability evaluation is the effective way to shorten the period of development, optimize the manufacturing process and reduce the product costs. The manufacturability of a product depends on the processing ability of specific manufacturing resources. The building of the manufacturing resources model is the foundation for manufacturability evaluation. To better utilize the information of manufacturing resources, the hybrid algorithm of fuzzy c-means clustering algorithm (FCM) and genetic algorithm (GA) is implemented in this paper to group manufacturing resources based on manufacturing and geometric features. The information model of manufacturing resources is built by using the object-ori-ented method and the framework of manufacturability evaluation based on the manufacturing resources is defined. An application sample is exploited and its results are analyzed. The grouping result shows that the hybrid algorithm is reliable and effective.

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