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Manufacturing resources classification based on fuzzy clustering algorithm.

Author(s)
Xuesong Guan Department of Mechanical Science and Engineering, Jilin University, Changchun, China
Guangwei Meng Department of Mechanical Science and Engineering, Jilin University, Changchun, China
Changlong Zhao Department of Mechanical Science and Engineering, Jilin University, Changchun, China
Abstract
Today, for many companies, there are large numbers of manufacturing equipments. To better utilize manufacturing resources, it is necessary to classify the equipments into a few groups. In this paper, the hybrid algorithm of fuzzy clustering algorithm (FCM) and genetic algorithm (GA) is implemented to group manufacturing resources. An application sample is developed and its results are analyzed. The grouping result shows that the hybrid algorithm is reliable and effective.
Publication Details
Page(s) 632-637
DOI DOI not available
Published Journal: Journal of Theoretical and Applied Information Technology, Volume: 46, Issue: 2, Year: 2012

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