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5. Process Improvement
5.4. Analysis of DOE data

5.4.7.

Examples of DOE's

Software packages do the calculations and plot the graphs for a DOE analysis: the analyst has to know what to request and how to interpret the results Most DOE analyses of industrial experiments will be performed by statistical software packages. Good statistical software enables the analyst to view graphical displays and to build models and test assumptions. Occasionally the goals of the experiment can be achieved by simply examining appropriate graphical displays of the experimental responses. In other cases, a satisfactory model has to be fit in order to determine the most significant factors or the optimal contours of the response surface. In any case, the software will perform the appropriate calculations as long as the analyst knows what to request and how to interpret the program outputs.
Three detailed DOE analyses will be given using JMP software Perhaps one of the best ways to learn how to use DOE analysis software to analyze the results of an experiment is to go through several detailed examples, explaining each step in the analysis. This section will illustrate the use of JMP 3.2.6 software to analyze three real experiments. Analysis using other software packages would generally proceed along similar paths.

The examples cover three basic types of DOE's:

  1. A full factorial experiment
  2. A fractional factorial experiment
  3. A response surface experiment
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