MIT 2.830J / 6.780J / ESD.63J Control of Manufacturing Processes (SMA 6303)

MIT 2.830J / 6.780J / ESD.63J Control of Manufacturing Processes (SMA 6303)

22 Lectures · Feb 3, 2008

About

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.

Course Homepage: 2.830J / 6.780J / ESD.63J Control of Manufacturing Processes (SMA 6303)

Course features at MIT OpenCourseWare page: *Syllabus *Calendar *Readings *Assignments

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Uploaded videos:

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01:05:12

Lecture 1: Introduction — processes and variation framework

Duane S. Boning

Dec 14, 2010

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3015 Views

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01:25:15

Lecture 2: Semiconductor process variation

Duane S. Boning

Dec 14, 2010

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3359 Views

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01:27:21

Lecture 3: Mechanical process variation — physical causes and interpreting data

David E. Hardt

Dec 14, 2010

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2445 Views

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01:22:34

Lecture 4: Probability models of manufacturing processes

Duane S. Boning

Dec 14, 2010

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2628 Views

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01:21:31

Lecture 5: Probability models, parameter estimation, and sampling

Duane S. Boning

Dec 14, 2010

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3817 Views

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01:21:20

Lecture 6: Sampling distributions and statistical hypotheses

Duane S. Boning

Dec 14, 2010

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2996 Views

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01:20:38

Lecture 7: Shewhart SPC and process capability

David E. Hardt

Dec 14, 2010

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2854 Views

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01:20:03

Lecture 8: Process capability and alternative SPC methods

Duane S. Boning

Dec 14, 2010

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2540 Views

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01:24:01

Lecture 9: Advanced and multivariate SPC

Duane S. Boning

Dec 14, 2010

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2643 Views

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01:19:09

Lecture 10: Yield modeling

Duane S. Boning

Dec 14, 2010

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2372 Views

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01:16:23

Lecture 11: Introduction to analysis of variance

Hayden Taylor

Dec 14, 2010

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3322 Views

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01:15:51

Lecture 12 : Full factorial models

Duane S. Boning

Dec 14, 2010

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2352 Views

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01:18:22

Lecture 13: Modeling testing and fractional factorial models

Duane S. Boning

Dec 14, 2010

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2307 Views

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01:20:46

Lecture 14: Aliasing and higher order models

Duane S. Boning

Dec 14, 2010

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1968 Views

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01:21:56

Lecture 15: Response surface modeling and process optimization

Duane S. Boning

Dec 14, 2010

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3734 Views

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01:24:16

Lecture 16: Process robustness

Duane S. Boning

Dec 14, 2010

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2250 Views

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01:17:59

Lecture 17: Nested variance components

Duane S. Boning

Dec 14, 2010

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2223 Views

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01:34:34

Lecture 18: Sequential experimentation: "Experimentation and Robust Design and E...

Dan Frey

Dec 14, 2010

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2520 Views

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01:21:31

Lecture 19: Case study 1: tungsten CVD DOE/RSM

Duane S. Boning

Dec 14, 2010

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2314 Views

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01:23:16

Lecture 20: Case study 2: cycle to cycle control

David E. Hardt

Dec 14, 2010

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2370 Views

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01:52:33

Lecture 21: Case study 3: spatial modeling

Duane S. Boning

Dec 14, 2010

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2270 Views

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01:20:50

Lecture 22: Case study 4: "Modeling the Embossing/Imprinting of Thermoplastic La...

Hayden Taylor

Dec 14, 2010

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2186 Views

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