DOE Practitioner Introduction
- Do you have problems with Process and Product optimization?
- Do you have problems you have not been able to solve for a long while?
- Do you have problems which you don't seem to understand?
- Do you know if you can improve a process further?
Design of Experiments Practitioner (DOE Practitioner) is an extension of DOE Basic. This take-back-and-do course is designed to allow delegates more flexibility in experimentation. Delegates will learn to accommodate 2-level and 3-level factors in a variety of practical situations. Delegates will also investigate their experiments through analysis of variance (ANOVA). Delegates will be able to use ANOVA to make objective decisions on factor contributions and experimental error.
Benefits Of Attending The DOE Practitioner Training
The DOE Practitioner Training enables the delegates to:
- Learn a variety of techniques to use in real-live conditions.
- Learn and use advanced designs for experimentation.
- Adapt their experiments to situations involving multi-level factors.
- Conduct Analysis of Variance to identify percentage contribution of factors.
Who Should Attend The DOE Practitioner Training ?
DOE Practitioner 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 Practitioner Training Outline
Day 1 (AM) |
Design Optimization
- 2 Step Optimization
- Using Excel
- Simple functions
- Response Analysis
|
|
Day 1 (PM) |
Analysis of variance
- 0-way ANOVA
- 1-way ANOVA
- 2-way ANOVA
- multi-way ANOVA
|
|
Day 2 (AM) |
ANOVA of Orthogonal Array
- OA, df, SSQ, MSQ
- F-ratio, Rho, pooling
- Confidence intervals
- Predicted values
|
|
Day 2 (PM) |
Advanced designs
- Multi level
- Dummy level
- Combination design
- Nested column
|
|
Day 3 (AM) |
Advanced designs
- Idle column
- Distributed column
- Signed target
- Operating window
|
|
Day 3 (PM) |
Course conclusion
- Attribute analysis
- Demonstration
- Summary
- Close
|
|
|