Analysis of DOE data
How to interpret DOE results
Final model used to make conclusions and decisions
Assume that you have a final model that has passed all the relevant
tests (visual and quantitative) and you are ready to make conclusions
and decisions. These should be responses to the questions or outputs
dictated by the original experimental goals.
Checklist relating DOE conclusions or outputs to experimental goals
or experimental purpose:
A checklist of how to compare DOE results to the experimental
- Do the responses differ significantly over the factor
levels? (comparative experiment goal)
- Which are the significant effects or terms in the final model?
(screening experiment goal)
- What is the model for estimating responses?
- Full factorial case (main effects plus significant
- Fractional factorial case (main effects plus significant
interactions that are not confounded with other possibly
- RSM case (allowing for quadratic or possibly cubic models,
- What responses are predicted and how can responses be
optimized? (RSM goal)
- Contour plots
- Settings for confirmation runs and prediction intervals for