Summary:

Design of Experiments, or DOE, is a method used by engineers and scientists to maximize the knowledge gained from experimental data. This course is designed to minimize the complex theoretical aspects of DOE and focus on the practical uses in industry today. The simplified approach makes it useful for technicians and engineers who are not familiar with advanced statistics to apply the discipline of DOE to their investigations and studies.

Attendees:

DOE classes are typically given to engineers and scientists who are designing or modifying products or processes. Although an understanding of advanced mathematics is not necessary, students should be comfortable with mathematical terms, analysis, and manipulation. This course has been specifically designed for those who need a working knowledge of the application without in-depth knowledge of the mathematical theory behind it.

Topics:

Introduction

Terms used

Overview

Quality Characteristics and Measurements

Analytical Procedure

Practical Application

Two factor experiments

Three factor experiments

Screening Factors

Design Evaluation

Case Studies

Applications

Texts Used:

Class Notes
Text: An Introduction to Design of Experiments: A Simplified Approach by Larry Barrentine

All attendees should have a working knowledge of mathematics (averages, sums, means, etc.), and should bring a calculator, a highlighter, and pencil with eraser to class.

Course Duration:

3 days class instruction, plus one additional consulting day at outset to prepare company-specific examples for use during class. We also recommend one additional day for follow-up, typically one month after class completion. This day allows for review and calibration of attendee’s understanding and application, to ensure that the examples being worked on are using the correct methodology. If class is to be given more than once, it is more cost effective to schedule subsequent classes in monthly intervals and instructor will stay course duration + one day for consultation.