RS 588 Training Seminar
DOE: Experiment Design and Analysis

The RS 588 training seminar begins with the fundamentals of Design of Experiments (DOE) methods and continues with advanced concepts, principles and requirements. ReliaSoft’s DOE++ software is used for hands-on practical examples. Topics include full factorial designs, fractional factorial designs, robust designs, the response surface methodology and reliability DOE.

The 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.

Detailed Course Outline

Introduction, Background and Overview

• A brief history of Design of Experiments (DOE)
• When to use DOE
• Some typical applications of DOE
• Basic principles of DOE
• Overview of basic statistical concepts
• Types and purposes of DOE methods

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 Workshop using the DOE++ Software