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Home » Applied Sciences » Engineering » Electrical Engineering and Computer Science (M-I-T) » Control of Manufacturing Processes (M-I-T) » Introduction — Processes and Variation Framework

Introduction — Processes and Variation Framework

Course:Control of Manufacturing Processes (M-I-T)
Discipline:Applied Sciences
Institute:MIT
Instructor(s): Duane Boning, David Hardt
Level:Graduate

Control of Manufacturing Processes (M-I-T)

Advanced and Multivariate SPC
Aliasing and Higher Order Models
Case Study 1 Tungsten CVD DOE RSM
Case Study 2 Cycle to Cycle Control
Case Study 3 Spatial Modeling
Case Study 4 Modeling the Embossing Imprinting of Thermoplastic Layers
Full Factorial Model
Introduction to Analysis of Variance
Introduction — Processes and Variation Framework
Mechanical Process Variation
Modeling Testing and Fractional Factorial Models
Nested Variance Components
Probability Models of Manufacturing Processes
Probability Models, Parameter Estimation, and Sampling
Process Capability and Alternative SPC Methods
Process Robustness
Response Surface Modeling and Process Optimization
Sampling Distributions and Statistical Hypotheses
Semiconductor Process Variation
Sequential Experimentation

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