Design of Experiments - Public Seminar

Training Provided by Launsby Consulting Our four-day introductory and intermediate topics course on design of experiments provides the attendees with the skills necessary to setup and analyze powerful orthogonal array experiments. Compared with traditional testing strategies, companies typically obtain a 50% reduction in the time and money required to conduct tests when applying the powerful approaches of DOE. Efficient and effective application of experimental design require a blending of key skills. Knowledge of the relevant technologies, team communication skills, and some simple mathematical tools all come into play (in this session we rely upon the computer to crunch the numbers while we focus on interpretation of key graphics and output tables). The following is what makes our session world class: Our dynamic instructors will share their expertise in lively sessions filled with hands-on application that keeps interest levels high. Our team has taught these approaches to over 10,000 people. Thosands of successful applications have been sparked by attendance at our sessions. Learn how to simultaneously optimize more than one response. Evening sessions to discuss your processes and technologies in greater detail may be arranged through the instructor. No previous experience with experimental design or statistics is required. We care about our students. Past attendees are always welcome to ask for advice on DOE related questions. "Launsby's Experimental Design class is the most useful and best presented course I've taken in years." - Eric Diebold, Boehringer Mannheim

Design of Experiments - Public Seminar The following is an outline of the various topics covered in this 4 day course:

Day 1
Goals, expectations
The need
-group exercise

What are the benefits of these techniques?
Using experimental design for success
Fundamental terminology
Basic concepts of setup and analysis
Experimental objectives
-Screening
-Troubleshooting
-Robustness
-Modeling
Examples of successful applications

What is an orthogonal array?
Benefits of orthogonal arrays
What are the steps in successful experimentation?
Selection of technology related responses
Full-factorial, fractional factorials, and Plackett-Burman arrays
Design Resolution
Taguchi tabled arrays


Day 2

Computer generated (D-optimal) arrays
Graphical analysis
-Main effects plots
-Interaction plots
-Pareto charts
-Contour plots
-RSM plots

ANOVA and MLR using software
Multiple response co-optimization
-Determination of importance weights
-Selecting desirability shapes
-Exercises with software

Analysis of categorical responses
Group exercise: catapult


Day 3

Additional background regarding fractional-factorials
-Aliasing and confounding
-Fold-over approaches

Robustness concepts and S/N ratios
Setup of inner and outer arrays
Alternatives to S/N ratios
Some details on regression analysis
Residual analysis
-Raw vs. studentized
-Interpretation of simple plots

Group exercise: electromagnet


Day 4

Response surface designs
-Box-Behnken arrays
-Central Composite arrays

Analysis of response surface designs
Group exercise: trebuchet
Numerous case studies
Discussion regarding your potential applications

About The Training Provider: Launsby Consulting

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