Provides a methodology for conducting controlled experiments (DOEs) where the factors (process inputs) can be held at any number of levels (settings). The goals of this type of experiment are usually focused on obtaining a model that definitively selects the vital process inputs, investigating interactions between the vital inputs, and making predictions about the process output.
When you insert this tool into the Roadmap, you can use it to record the data analysis from your experiment. Use the DOE Planning Worksheet form to help you design the experiment.
|When to Use||Purpose|
|Mid-project||This type of experiment is the only one that can accommodate categorical factors (process inputs) that must be investigated at more two levels.|
|Mid-project||Models main effects and all possible interactions between factors, which is beneficial for determining the settings for the key inputs resulting in the optimal process output.|
Continuous Y, categorical or numeric X's tested at two or more discrete levels.