Design of Experiments (DOE) for
Semiconductor Manufacturing and Development
This one-day course provides industrial workers with the definitions, models and statistical tools needed for designing efficient and effective experiments.
A working knowledge of “Statistical Design of Experiments,” as covered in this class, is one of the most powerful tools a
worker can have for designing and/or improving industrial products and processes.
WHAT THE COURSE COVERS:
- Plan effective and efficient experiments
- Design two-level full factorial and fractional designs
- Understand how to use response surface designs to find optimal process settings
- Become familiar with software DOE tools such as SAS JMP
- Benefits of designed experiments
- Choosing factors and factor levels
- Importance of randomization
- Orthogonal coding
- Two-level full factorial designs
- Analyzing residuals and testing for lack of fit
- Screening designs
- Fractional factorial designs
- Response surface designs
- Optimizing process settings
- Use of the JMP DOE Platform for designing experiments and analyzing experimental data
WHO SHOULD ATTEND?
- This course is targeted towards industrial workers who can benefit from using effective statistical methods
to characterize, model, evaluate, monitor and improve the quality and reliability of products, manufacturing
processes and equipment Manufacturing Engineers
|This course includes copies of the slides used during the
class. The class will also make use the on-line NIST/SEMATECH e-Handbook of Statistical Methods.
A soft copy of the Handbook will be provided on a handout CD-ROM.
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