2.830 Control of Manufacturing Processes

Class Info

Statistical modeling and control in manufacturing processes. Use of experimental design and response surface modeling to understand manufacturing process physics. Defect and parametric yield modeling and optimization. Forms of process control, including statistical process control, run by run and adaptive control, and real-time feedback control. Application contexts include semiconductor manufacturing, conventional metal and polymer processing, and emerging micro-nano manufacturing processes.

This class has 2.008, 6.041B, and 6.152 as prerequisites.

2.830 will be offered this semester (Spring 2019). It is instructed by D. E. Hardt and D. S. Boning.

Lecture occurs 11:00 AM to 12:30 PM on Mondays and Wednesdays in 1-150.

This class counts for a total of 12 credits.

You can find more information at the MIT + 2.830 - Google Search site.

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