What is a DOE? Design of Experiment. Adapted from http://www.moresteam.com/toolbox/design-of-experiments.cfm#preparation. Why Use It?.
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Adapted from http://www.moresteam.com/toolbox/design-of-experiments.cfm#preparation
Factors = Variables
Levels = Settings
How much of each factor. Selections must be based on research.
Response = results
Factors = variables
Temp, sugar, flour, eggs
How much of each factor
Response = results
How good is the cake?
or output of the experiment.
In the case of cake baking, the taste, consistency, and appearance of the cake are measurable outcomes potentially influenced by the factors and their respective levels.
Experimenters often desire to avoid optimizing the process for one response/result at the expense of another.
For this reason, important outcomes are measured and analyzed to determine the factors and their settings that will provide the best overall outcome for the critical-to-quality characteristics - both measurable variables and assessable attributes.
In the case of our cake-baking example, we might want to compare the results from two different types of flour.
If it turned out that the flour from different vendors was not significant, we could select the lowest-cost vendor. If flour were significant, then we would select the best flour.
The experiment(s) should allow us to make an informed decision that evaluates both quality and cost.
"What are the significant factors beyond flour, eggs, sugar and baking?“
The Design of an experiment addresses the questions outlined above by stipulating the following:
A well-designed experiment is as simple as possible - obtaining the required information in a cost effective and reproducible manner.