聚类分析
标准化
计算机科学
过程(计算)
星团(航天器)
数据挖掘
产品(数学)
生产(经济)
数学
人工智能
几何学
操作系统
宏观经济学
经济
程序设计语言
摘要
In view of the difference of working hours caused by the production mode with large batches, small batches but high degree of product differentiation in the processing of modern mold products, from the perspective of the standardization of processing process, the cluster analysis method is selected to formulate the standardization of processing process. The k-means clustering method and two-step clustering method in the cluster analysis methods are mainly used in the research, and the standard classification system is established according to the working-hour characteristics of the mold products. The research results show that when the clustering threshold is 2, the cluster similarity is 0.984, 0.984, 1.002, 0.985, and 1.002 in turn. At the same time, the BIC change data of the cluster number 2 are -557.453, 76.952, and 204.564 respectively. It can be seen that when the clustering threshold and cluster number are 2, the clustering effect is the best. Finally, the number of the first-level categories is 7, and the number of the second-level categories is 12. It can be seen that the method of research and design can help manufacturers effectively conduct the differentiated classification of working hours and standardize working hours and costs in the production process of differentiated products.
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