Analysis and solution of quality control problems in single and small-batch discrete manufacturing

Wentao Jiang; Pengzhong Li; Liang Luo

doi:10.1117/12.2646798

7 September 2022 Analysis and solution of quality control problems in single and small-batch discrete manufacturing

Wentao Jiang, Pengzhong Li, Liang Luo

Proceedings Volume 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022); 123292C (2022) https://doi.org/10.1117/12.2646798
Event: Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022, Changsha, China

Abstract

With the increasing demand for product customization, Single and Small-batch (SS) discrete manufacturing has emerged, but there is lack of scientific quality control methods for this manufacturing mode. This paper analyzes the mechanism of quality problems in the discrete manufacturing process and compares the differences between SS production and massproduction. In order to cope with the environmental changes in SS production, a domain adaptation-based model is proposed to minimize the discrepancy between source domain and target domain, which enhance the generalization ability of the prediction model in SS production.

Citation Download Citation

Wentao Jiang, Pengzhong Li, and Liang Luo "Analysis and solution of quality control problems in single and small-batch discrete manufacturing", Proc. SPIE 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 123292C (7 September 2022); https://doi.org/10.1117/12.2646798

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