Design of Experiments
Design of Experiments (DOE) is a systematic method to improve an operating process by analyzing the relationship
between the inputs and outcome.
A major challenge to industry is to cut design and development times while assuring that designs are effectively and efficiently characterized. An essential tool in supporting this activity is the practical application of Design of Experiments.
Design of Experiments is the premier tool in supporting these efforts in areas of product design and process development. We offer practical and hands-on training and consulting in these approaches. We have over 30 years of experience in product and process optimization in a number of industries. Our team has taught and consulted on the application of these tools for three decades. We have taught over 5000 engineers and scientists about these terrific tools. We can have your team doing great applications of these tools in as little as a two or four day session.
-
Why Launsby Consulting?
We are practical, not theoretical with a unique ability to explain complex engineering and mathematical theories with compelling sketches and diagrams. We can make Design of Experiments easy to understand.
-
We can teach sessions using
JMP, Minitab, DOE Wisdom software. In addition, we like to customize the training to your specific areas of application.
-
Before your session
We can integrate your applications or use our library of applications for class exercises.
-
Length of session:
2 or 4 day sessions
-
In house or public seminars
Contact us today for more information.
Public Seminars
-
Scientists, engineers, managers, technicians. Anybody who wants to quickly attain an applications-based understanding of Design of Experiments.
-
Public seminars are scheduled throughout the year all across the Continental US.
-
Sample Agenda for a DOE Seminar
Day 1:
Introductions, Goals, Expectations
The Need for Experimental Design in Industry
Why Engineers, Technicians and Scientists Need to Use These Powerful Approaches
Examples of Applications from Your Industry
How to build skill in conducting Designed Experiments
How long is Pay-back Time with Design of Experiments Training?
What is Experimental Design?
What are the Benefits?
What is a Process Diagram?
Objectives
Troubleshooting
Modeling
Screening
Robustness
MixturesWhy Conduct an Orthogonal Array?
Basic Concepts: Effects, Interactions, Orthogonal arrays
Graphical Analysis using examples and software
Pareto Charts
Main Effects
Interaction Plots
Contour Plots
RSM PlotsScreening Approaches vs. Modeling Approaches
Sample Size
Checklist of Detailed Planning Questions
Why Confirmation Trials are Important
How to determine if your experiment confirmed
Day 2:
Blending Experimental Design with Knowledge of the Technology
Common Pitfalls for Those New to Design of Experiments
Analysis for Variance Reduction
Full-Factorials, Fractional-Factorials, Taguchi Arrays
Computer Optimal Designs
Mixed and Multi-level Orthogonal Arrays
ANOVA and MLR Using Software
Numerous Case Studies with Software
Rules of Thumb regarding Set-up and Analysis
Multiple Response Co-optimization Using Desirability Functions
Residual Analysis
Planning Your Experimental Application, Getting Started with Successful Applications!
Group Exercise
Enrollment Details
Format: Public Seminars
Submit your interest form (LEFT) with the class date. We will contact you with additional enrollment details.
Cost: $1500.00 per attendant
Includes:
Detailed Participants Guide
eBook Engineering Today’s Designed Experiments
Available Sessions:
September 8 & 9, 2026 Denver, Colorado
Deadline to Register: August 24, 2026