Advanced Gage Repeatability and Reproducibility Training
This advanced gage repeatability and reproducibility training is an intensive workshop on everything you need to know to implement an effective Gage R&R for your measurement system. You’ll be doing, not watching, as we work through 11 measurement systems from DuPont, Corning Inc., Restek, NuSil Silicones, Goodyear Tire, NRG Systems, Harley Davidson, Dow Chemical and more.
“Understanding your measurement variation is the most important first step in any process project. This course begins by developing a thorough understanding of how the standard Gage R&R study works. But your implementation won’t be that easy. Discover how to work with destructive tests, multiple gages, non-normal responses, round robin testing, mixed operators and visual inspection measurements in this advanced training session.”
Lou Johnson
JMC Data Experts Inc
Gage R & R – Beyond the Standard Study
You’ll learn 9 key tools to insure the success of your next study!
Complete understanding of a Standard Gage R&R as a foundation
Attribute Agreement Analysis for visual inspection measurements
Gage Run Chart to communicate the results of your study
Fixed Variables for round robin measurement comparisons
Operator-by-Part Matrix Summary
Nesting Alternatives for destructive tests
Expanded Gage R & R for multiple gages and locations
Sampling Plans for each type of study. (10 Parts x 3 Oper x 2 is a poor plan!)
Percent Process Variation and Probability of Misclassification
A Quality Experience
The main sessions are led by Lou Johnson, with destructive test specialization taught by guest speaker Karen Meldrum from Data Authority, Detroit, MI.
Lou and Karen train and coach engineers, technicians and scientists from major companies (DuPont, Intuitive Surgical, Stryker, Becton Dickinson) across the US.
This workshop is about getting one-on-one attention to solve the measurement system analysis problem in your facility. Participant examples are encouraged!
This is an interactive hands-on training where you will be doing, not watching as we work through 11 measurement systems from recent consulting work.
Pittsburgh, PA
Pittsburgh Technology Council
2000 Technology Drive
Pittsburgh, PA 15219
Friday, May 11 21, 2018
Clear this date on your calendar. This is the only date offered for this training until late 2018.
Peers
Participants include other engineers, technicians and scientists providing a great networking opportunity.
Investment
General attendance is offered at $325 per person. For group rates, call for pricing. (Lunch, datasets and manuals included)
Contact
Lou Johnson
(878) 999 – 4627
lou@jmcdataexperts.com
Exclusive
In addition to the workshop, there are two personal 1:1 sessions available with Lou.
One Day of Full Focus
One day of advanced training and you will be able to effectively quantify your measurement variability, separate it from the process and determine where it is coming from, regardless of the roadblocks in your system.
“You can tell the trainer is passionate about his work and it rubs off on the class. One of the best training facilitators I have had the pleasure to work with.”
“The training uses a good communication model. Theory, practice then work an exercise on our own and review. We did this for each major chapter and it worked really well. Kept my interest!”
“I learned to work through the problems with my Gage R & R. Now everyone at works calls on me for help!”
“ Great class! I can’t wait to sign up for the next topic.”
Meet Your Workshop Experts
To review the class agenda, discuss group rates or reserve your spot, connect with us to ensure this training is the right fit to help you achieve the results you are looking for.
Lou Johnson
Lou brings 30 years of process engineering and statistical consulting experience to JMC. As a Master Black Belt for Corning, Inc., he led a Six Sigma deployment that significantly increased productivity and reduced costs. Since then, at Minitab Inc., he has consulted and trained with over 100 companies, from Arrow to Xerox. He is the author of over 75 training manuals, journal articles and conference presentations on Lean Six Sigma, Design of Experiments, Quality Tools and Statistical Analysis for engineers.
