DOE Classical Introduction
- Do you use scientific methods of Process and Product optimization?
- Do you believe that quality can and should be designed-in?
- Do you blame your operators for poor quality?
- Do you have low Process and Product yields?
Design of Experiments Classical (DOE Classical) presents a variety of methods related to matrix designs and factorial designs of experimentation. Regression and correlation analyses can be used to study several aspects of response interrelations. Orthogonal polynomials can be used to fit complex functions and responses. Delegates can apply these method in a variety of optimizations particularly those related to intrinsic functions.
Benefits Of Attending The DOE Classical Training
The DOE Classical Training enables the delegates to:
- Understand and use Matrix Designs.
- Understand and use Factorial Designs for experimentation.
- Understand and use Regression and Correlation Analyses.
- Understand and use Orthogonal Polynomials.
Who Should Attend The DOE Classical Training ?
DOE Classical is particularly useful for those involved in controlling process or product parameters. It will be most appropriate for those involved in Design, Quality, R&D, Reliability, Maintenance, Engineering, Manufacturing and Production. Teams are encouraged to attend for maximum benefit.
Brief DOE Classical Training Outline
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Day 1 (AM) |
Matrix Experiments
- 2-way tables
- Latin squares
- Placket-Burman
- Orthogonal arrays
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Day 1 (PM) |
Factorial Designs
- Estimating effects
- Yates Algorithm
- Full factorial
- Half factorial
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Day 2 (AM) |
Factorial Designs
- Confounding
- Linear contrasts
- Sequential experiments
- De-aliasing
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Day 2 (PM) |
Regression Analysis
- Lack of fit
- Procedure for F test
- Matrix approach
- Quadratic form
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Day 3 (AM) |
Orthogonal Polynomials
- One factor
- Multi factor
- Interactions
- Taylor series
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Day 3 (PM) |
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Course conclusion
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