Design of Experiments

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Who Should Attend
Quality managers, quality engineers, SPC coordinators, consultants, design engineers, R&D personnel and product/process engineers. Participants should be able to work with high-school level algebraic formulas.

Learning Outcomes

• Understand the basics of designed experiments: scientific method, steps for designing and conducting effective experiments, statistical and graphical tests for significance, and take the mystery out of designed experiments.
• Be able to build a model and check that model.
• Apply the foundation skills necessary to move on to more complex, multilevel designs.
• Understand experimental analysis: main and interactive effects, experimental error, normal probability plots, identification of "active" efforts, and residual analysis.
• Identify the variables that have the greatest impact on product-level quality.
• Understand experimental design essentials, be able to plan an experiment (choose factors, levels, design matrices), and set up, conduct, and analyze a two-level factorial experiment.
• Apply the fundamentals of designed experiments, including comparative experiments, process optimization, and multiple variable designs to continuously improve all product stages.
• Know how to use simple graphical techniques to analyze data.

Related ASQ Bodies of Knowledge
Certified Quality Engineer, Certified Reliability Engineer, Certified Quality Technician

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