Design of Experiments (DOE):

The DOE course instructs students to identify and quantify the sources of variation, develop specifications and optimize design and process parameters.

Efficiency of these methods results in fewer experiments and lower cost of experimentation. The direct benefit of DOE is reduced research and development effort as well as reduced set-up costs.

Contents: 

  • Hypothesis Testing
    • Error (Alpha & Beta)
    • Confidence and Power
    • One Sample Tests
    • Two Sample Tests
    • Regression & Correlation
  • One and Two Factor Experiments
    • DOE Methodology and Strategy
    • ANOVA Concept
    • Completely Randomized Designs
    • Randomized Block Designs
    • Two Factor Factorial Designs
  • 2k Factorial experiments
    • 23 and Other Full Factorial Designs
    • Blocking
    • Fractional Factorial Designs
    • Parameter Design
  • Taguchi Experiments
    • L4 (23) Orthogonal Array
    • L8 (27) Orthogonal Array
    • L16 (215) Orthogonal Array
    • Other Taguchi Designs
    • Signal To Noise Ratio
  • Blocking
  • Randomization
    		•

    Training ClassesTechnical TrainingEnglish & MathManagement SkillsAbout UsWhat's NewMore InformationMap & DirectionsCalifornia State FundingHome Pageezepeda@workforceamerica.com