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Control of Manufacturing Processes

by Prof. Duane Boning Prof. David Hardt

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Description

This course explores statistical modeling and control in manufacturing processes. Topics include the use of experimental design and response surface modeling to understand manufacturing process physics, as well as defect and parametric yield modeling and optimization. Various forms of process control, including statistical process control, run by run and adaptive control, and real-time feedback control, are covered. Application contexts include semiconductor manufacturing, conventional metal and polymer processing, and emerging micro-nano manufacturing processes.

Customer Reviews

advise about the course video

The course was great. I can't find a lot tutorial about teaching "response surface methodology" and some about design and analysis of experiment. so with the great tutorial from this professors, it was so helpful.
But there is a little bit pity, it is barely hard to see the whiteboard in the video, so sometimes it is hard to follow things that professor noted on it.
Hope this will be noticed next time.
And hopelly can apply more course about RSM.

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