Design of Experiments I (DOE I)

Acquire the foundation and skills for the successful implementation of practical experiments to achieve efficient process improvement. This course teaches participants how to plan and conduct effective experiments, analyze the results, and avoid the common misapplications in practice. Knowledge of basic algebra is helpful.

Seminar Content
Introduction to Experimental Design
Definitions
Sequential Experimentation
Common Pitfalls

A Guide to Experimentation
Planning
Implementing
Analyzing

Two Level Factorial Designs
Design Matrix
Calculation of Effects
Geometric Analogy

Identifying Significant Effects
Variable and Attribute Responses
Describing Insignificant Location Effects
Analyzing Replicated and Unreplicated Designs
Normal Probability Plotting

Developing Mathematical Models
Developing First Order Models
Residuals
Model Validation

Fractional Factorial Designs
Structure of the Designs
Identifying an "Optimal" Fraction
Confounding/Aliasing
Resolution
Analysis of Fractional Factorials
Reflected Designs

Proportion and Variance Responses
Identifying Significant Proportion Effects
Identifying Significant Variance Effects

Exercises and Group Project
Exercises for each Topic
Plan, Design, Run, and Analyze an Experiment

To request a quote, contact:
Elena O'Connor, On-site Programs
Phone: (734) 487-4926


 
   


Eastern Michigan University
Center for Quality

103 Boone Hall
Ypsilanti, MI 48197
Barbara Hopkins, Director


Phone: (734) 487-2259
Toll Free: (800) 932-8689
Fax: (734) 481-0509

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