Learn Design of Experiments ( DOE )

The G588 training seminar begins with the fundamentals of Design of Experiments (DOE) methods and continues with advanced concepts, principles and requirements.

The DOE training course presents concepts and software tools that you could use to help your organization:

• Design experiments that are effective for studying the factors that may affect a product or process.
• Analyze experimental results in order to identify the significant factors and evaluate ways to improve and optimize the design.
• Go beyond traditional DOE techniques in order to apply the proper analysis treatment for the response information that is often of interest to reliability engineers — product lifetime data.

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Full Factorial Design

• ANOVA
• The basics of “full factorials”
• Factorial effects and plots
• Model evaluation

Two Level Fractional Factorial Design

• Objective
• The one-half fraction and one-quarter of the 2^k design
• The general 2^k-p fractional factorial design
• Resolution III, IV and V designs

The Robust Design

• The basics of robust designs
• Taguchi designs
• A short robust design example

The Response Surface Methodology

• From first-order experiments to second-order experiments
• Analysis of second-order response surfaces
• Central composite designs
• Box-Behnken design
• Process optimization

Reliability DOE for improving product reliability

• Overview of life data modeling
• Factor-life relationship
• Identify important factors affecting product reliability
• Improve product reliability

Multiple Case Studies and Applications

• Experiments for improving reliability

Hands-on Practice Using the DOE++ Software