Manufacturing Resources Classification Based on Fuzzy Clustering Algorithm
نویسنده
چکیده
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.
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