Lec 1: Control of Manufacturing Processes
Lec 2: Control of Manufacturing Processes
Lec 3: Control of Manufacturing Processes
Lec 4: Control of Manufacturing Processes
Lec 5: Control of Manufacturing Processes
Lec 6: Control of Manufacturing Processes
Lec 7: Control of Manufacturing Processes
Lec 8: Control of Manufacturing Processes
Lec 9: Control of Manufacturing Processes
Lec 10:Control of Manufacturing Processes
Lec 11: Control of Manufacturing Processes
Lec 12: Control of Manufacturing Processes
Lec 13: Control of Manufacturing Processes
Lec 14: Control of Manufacturing Processes
Lec 15: Control of Manufacturing Processes
Lec 16: Control of Manufacturing Processes
Lec 17: Control of Manufacturing Processes
Lec 18: Control of Manufacturing Processes
Lec 19: Control of Manufacturing Processes
Lec 20: Control of Manufacturing Processes
Lec 21: Control of Manufacturing Processes
Lec 22: Control of Manufacturing Processes
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.
Dr. Duane S. Boning is the Clarence J. LeBel Professor in Electrical Engineering, and Professor of Electrical Engineering and Computer Science in the EECS Department at MIT.
He is affiliated with the MIT Microsystems Technology Laboratories, and serves as MTL Associate Director for Computation and CAD. From 2004 to 2011,
he served as Associate Head of the EECS Department at MIT, and from 2011 through 2013 as Director/Faculty Lead of the MIT Skoltech Initiative.
He is currently Director of the MIT/Masdar Institute Cooperative Program.
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