Design of Experiments

Design of experiments (DOE) is a rigorous methodology that enables scientists and engineers to study the relationship between multiple input variables, or factors, on key output variables, or responses.

In this module, you will learn why designed experiments are better than trial and error and one-factor-at-a-time approaches to gain an understanding of cause and effect relationships and interactions between factors. You will be introduced to several types of designs such as factorial, response surface and custom designs. Finally, you will learn some DOE guidelines and best practices which will help you succeed with experimentation.

Estimated time to complete this module: 3 to 4 hours

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Specific topics covered in this module include:

Introduction to DOE

What is DOE?
Conducting Ad Hoc and One-Factor-at-a-Time (OFAT) Experiments
Why Use DOE?
Terminology of DOE
Types of Experimental Designs

Factorial Experiments

Designing Factorial Experiments
Analyzing a Replicated Full Factorial
Analyzing an Unreplicated Full Factorial

Screening Experiments

Screening for Important Effects
A Look at Fractional Factorial Designs
Custom Screening Designs

Response Surface Experiments

Introduction to Response Surface Designs
Analyzing Response Surface Experiments
Creating Custom Response Surface Designs
Sequential Experimentation

DOE Guidelines

Introduction to DOE Guidelines
Defining the Problem and the Objectives
Identifying the Responses
Identifying the Factors and Factor Levels
Identifying Restrictions and Constraints
Preparing to Conduct the Experiment
Case Study