Robust Design: DOE Tools for Reducing
Variability* (2 days, Earn 1.6 CEU's) In-House Only
Best of Both Worlds
Learn to meet all your specifications with minimal variation. The
Robust Design workshop reveals powerful tools for statistical design
of experiments (DOE). Go beyond the basics of DOE and advance your
Six Sigma** skills. You'll push the envelope with saturated fractional
factorials and discover how to regain control of these highly confounded
designs. Learn to salvage botched experiments. Zoom up to
response surface methods and look for plateaus to achieve high, stable
performance. Finally, master use of propagation of error (POE) to meet or exceed Six Sigma objectives for reducing variation.
Statistical Magic
Revealed for You
The Robust Design: DOE Tools for Reducing Variability workshop offers
you the chance to try out many leading-edge methods:
- Factorial designs for ruggedness of products,
processes, or test methods
- Dual response methods that investigate variation
as well as the mean level of performance
- Propagation of error (also known as tolerance
analysis) to minimize variance transmitted from control factors
You'll use the latest version of Design-Expert® software in class to inspect case studies and simulations. You
will be given a path to all simulation and data files used in class,
which are posted to a special Internet site where you can also link
to a free fully-functional, but time-limited, copy of Design-Expert
software for use after class.
*Prerequisite:
Advanced DOE Proficiency
You need not be a statistician, but you should have a working knowledge
of factorial design and response surface methods. (If you are working
for a company with a Six Sigma program, you should be at the green-belt
level of proficiency in statistics). We recommend you take our Experiment
Design Made Easy and Response Surface
Methods for Process Optimization workshops as prerequisites.
**Combine the Robust Design and Response Surface Methods
workshops for an in-house presentation perfect for Design for Six Sigma (DFSS).
See the RDRV course outline
for further information.
