Design Of Experiments (DOE) – Introduction

Course Description
This dynamic seminar provides a comprehensive introduction to the use of powerful DOE techniques for improving and optimizing any product design or process. In just two days you will receive a solid introduction to proven approaches for identifying variables that significantly affect product and process performance and consistency. This lively and interactive workshop complements efforts to improve existing processes and also applies to new product and process development projects.

Who Should Attend
This course is designed for technical professionals and managers in R & D, new product development, quality, and production or process engineering. Others involved in design of new products and/or upgrading existing processes will also benefit from attending this seminar. The workshop is most beneficial when a team from your organization attends together.

Learning Objectives
During the program you will learn basic principles of design of experiment methods and their important connection to statistical process control techniques and other intermediate statistical tools. You will learn how to set up and run basic factorial and screening experiments; analyze experimental outcomes; identify significant effects on process performance and consistency; and select the right factors for future study or implementation. In various workshops you will plan, design, conduct and analyze experiments. 

Course Outline
Introduction (3 hours)
-Concepts Review: Systems Theory, Variation, and Basic SPC Principles
-DOE: Background and History
-How DOE differs from “scientific method” and other approaches to experimentation
-Advantages of DOE
-Disadvantages of DOE

Full Factorial Designed Experiments (5 hours)
In the field of design of experiments (DOE), one finds a wide array of designs and techniques.  One of the first to be developed (by Sir Ronald Fisher in England) was the factorial design.  A factorial design is a set of experiments that includes every level of every factor together with every other factor and level combination, all in the same design.

During this session, students receive a solid introduction to the design, conduct, and analysis of two-level factorial experiments. A sequence of analytical techniques for analyzing factor effects on performance and consistency will be presented. Then students will apply this sequence to experimental data in both a new product development and production setting.

Case Studies:
-Welding process
-New circuit design
-DOE applied to maximize yields in a chemical batch process

Screening Experiments (5 hours)
Full factorial designs do not lend themselves well to situations where numerous factors are candidates for study.  In such cases, screening designs are used to identify important factors for further examination. As their name implies, screening designs are used to screen out some factors for additional analysis in subsequent refining experimentation – most often using full factorials on those fewer variables.  For purposes of this introductory treatment of DOE, we  examine just two approaches to screening experimentation:  fractional factorial and Plackett-Burman screening designs. Topics include:

Case Studies:
-Metal alloy elongation
-Another welding process
-Diagnostic aids for screening experimentation

Basic Procedure for Managing DOE (3 hours)
This session examines and applies a step-by-step procedure and template for preparation, design, conduct and analysis of designed experiments. At the close of the workshop, participants will work in teams to design an experiment to be run upon return to their jobs.

Course Format
16 hours
Combination lecture and classroom exercises
Available at QSG’s training facilities and on-site at your organization

Course Evaluations Set 1
Course Evaluations Set 2

Course Evaluations Set 3

Date(s) Attending
Name(s) of Attendees

Always Keep Improving!