Study on the Manufacturing Resource Classify Based on Features

Chang Long Zhao

doi:10.4028/www.scientific.net/AMM.411-414.1880

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 411-414Study on the Manufacturing Resource Classify Based...

Study on the Manufacturing Resource Classify Based on Features

Abstract:

The effective classification of manufacturing resources is the premise of the manufacturing resource modeling and is the important part of virtual manufacturing. In this paper, the hybrid clustering algorithm based on genetic algorithm and genetic Fuzzy C-Means is proposed to cluster the machine tools and the features which the machine tool can processed are regarded as the grouping principle. By this means, the optimum number of optimal cluster and the optimal clusters can be obtained at the same time dynamically. The manufaturing resource clustering can provide information support for the manufacturing resources modeling and manufacturability evaluation and reduce the searching space of processing equipments.

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Periodical:

Applied Mechanics and Materials (Volumes 411-414)

Pages:

1880-1883

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.411-414.1880

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Online since:

September 2013

Authors:

Chang Long Zhao

Keywords:

Fuzzy Clustering, Genetic Algorithm (GA), Manufacturing Resource

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