Research on the standard operation of processing process based on the cluster analysis

Lan Tu; Xiaorong Ye

doi:10.1117/12.2675263

25 May 2023 Research on the standard operation of processing process based on the cluster analysis

Lan Tu, Xiaorong Ye

Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 126364J (2023) https://doi.org/10.1117/12.2675263
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China

Abstract

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.

Citation Download Citation

Lan Tu and Xiaorong Ye "Research on the standard operation of processing process based on the cluster analysis", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 126364J (25 May 2023); https://doi.org/10.1117/12.2675263

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KEYWORDS

Image classification

Analytical research

Data modeling

Evolutionary algorithms

Process control

Image processing algorithms and systems

Classification systems

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