Course Outline

Introduction, Background and Overview

• A brief history of 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

Mixture Design

• The basics of Mixture designs
• Simplex lattice design
• Simplex-Centroid design
• Crossed design

Multiple Case Studies and Applications

• DOE and FMEA work together
• Experiments for improving reliability

Hands-on Workshop using the DOE++ Software