Design of Experiments Techniques, Training, DOE Screening Experiments

Unit 1 - Background for DOE

Lesson 1 Why DOE?	Limitations of OATs (one-at-a-time) experimentation. How designed experiments overcome the limitations of OATs and are a more effective and efficient way to characterize and improve processes and products.
Lesson 2 DOE Terminology	An explanation of the key terms used in designed experiments.
Lesson 3 Types of Designed Experiments	Full Factorials Fractional Factorials Screening Experiments Response Surface Analysis EVOP Mixture Experiments
Lesson 4 Tests of Significance	a and b Risks Degrees of Freedom Hypothesis Tests t-Tests F-Tests
Lesson 5 Setting Up a Designed Experiment	Design & Communicate the Objective Define the Process Select a Response and Measurement System Select Factors to be Studied Select the Experimental Design Set Factor Levels Final Design Considerations
Unit Test DOE Challenge	An assessment of the learner’s progress in this unit.

Unit 2 - Plackett-Burman Techniques

Lesson 1 Plackett–Burman Matrices	The derivation of Plackett–Burman designs. Types of Plackett–Burman matrices. Ways to determine the experimental error. Techniques for analyzing experimental results.
Lesson 2 Calculating Statistical Significance	Multiple techniques for testing the statistical significance of factor effects. Using graphical techniques to analyze responses and interactions.
Lesson 3 Calculating a Prediction Equation	Developing a prediction equation using factor effects. Using the prediction equation to optimize the process or product.
Lesson 4 Analyzing for the Effect on Variation	How to analyze variation as a response. Creating a scree diagram to graphically analyze factor effects on variation.
Lesson 5 When Bad Things Happen to Good Experiments	The need for good planning to prevent problems. Some techniques for salvaging an experiment if data are lost or suspect.
Unit Test DOE Challenge	An assessment of the learner’s progress in this unit.

Unit 3 - Taguchi Techniques

Lesson 1 Taguchi Concepts	The concept of robustness. The Taguchi Loss Function. Signal to noise ratios.
Lesson 2 Taguchi Matrices	Taguchi designs for two-level experiments. Use of Taguchi Interaction Tables.
Lesson 3 Taguchi Experimental Analysis	Multiple techniques for testing the statistical significance of factor effects. Using graphical techniques to analyze responses and interactions.
Lesson 4 Determining Where to Set Factors	Developing a prediction equation. Use the mean, signal to noise ratio, and variation effects to determine where to set factors.
Lesson 5 When Bad Things Happen to Good Experiments	The need for good planning to prevent problems. Some techniques for salvaging an experiment if data are lost or suspect.
Unit Test DOE Challenge	An assessment of the learner’s progress in this unit.

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Why Does My Company Need This Program?

If your company needs to optimize processes, you can't afford to use one-at-a-time experiments because they are costly and miss important interactions that might have a significant effect on the process. But, learning screening experiment techniques can be costly and involve time away from the job plus travel expenses. With Screening Experiments, you can learn how to use Taguchi and Plackett-Burman techniques right on your computer. It's affordable, flexible, and convenient.

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DOE: Screening Experiments Web Based Training