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“海上风电先进制造与智能运维” 研究生学术论坛系列学术报告8

报告题目:The relationship between component and product quality in manufacturing, with emphasis on competitiveness

报告嘉宾:Yue Wang, Senior Data Scientist at Cummins Inc.





The capability of continuously producing good quality products with high productivity and low cost is critical for manufacturers. Generally, products are made up of components, which enable the product to perform its purpose. A complex product may be assembled from many components through multiple assembly stages. Any quality defects in a component may build up in the product. A good understanding of how the quality of components impacts the quality of products in a complex manufacturing system is essential for keeping the competitiveness of a manufacturer. In this presentation, a series of quality management models are proposed based on studying the relationship between component quality and product quality. Optimal quality control leads to increased competitiveness of a manufacturer, since it helps reduce cost, increase production, and limit environmental impact. The research starts from studying the tolerance allocation problem, which is fundamental of managing the tradeoff between quality, productivity, cost, and waste.


Yue Wang is a Senior Data Scientist at Cummins Inc., Columbus Indiana. His main research interests include anomaly detection, product quality design and improvement. Yue Wang received his PhD in Environmental Engineering from Purdue University in 2021 under the supervision of Prof. John Sutherland (member of National Academy of Engineering), He also received a master’s degree in Computer Engineering from Purdue University in 2020, a master's degree in Mechanical and Electrical Engineering from Huazhong University of Science and Technology in 2016, and a bachelor's degree in Mechanical Engineering and Automation from Wuhan University of Science and Technology in 2013.




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