Measurement
system analysis is a statistical study. It determines how much
variation the measurement system is contributing to the total
process variation. The study also tells us how much gage error is in
the measurements we get from measuring a product.
Gage R & R
Repeatability
and reproducibility are two of the variations that contribute to
gage error. They measure the amount of variation from the gage
operator and from the gage itself. However, bias, stability and
linearity also play a part.
Bias
Bias is the
difference between the observed average of gage readings and an
accepted average obtained from a higher-level instrument.
Linearity
Linearity is
the bias throughout complete operating range of the gage. All gages
have bias and we want that bias to be linear. This allows us to know
what the bias is at any point in the gages range.
Stability
Stability is
how long the gage can maintain its acceptable operating status under
normal conditions of use. The stability factor gives us a yardstick
for determining how often a gage needs to be checked and possibly
calibrated.
Course content
Learn how to
conduct gage studies and determine the extent of variation that the
gage contributes to your company's process variation.
This is a
"hands on" class not a management overview. Students will conduct
workshops and perform various calculations for gage studies.
Students should bring a statistical calculator. Loaners will be
available.
The
Measurement System Analysis class uses the reference guide published
by AIAG for the automotive market. However, the techniques apply to
any and all gages and industries.
You can have
this class presented at your business for as little as $65.per
person. Call us or click on the 'Contact Us' links on this page.
This class is 1 day and includes:
1.Measurement
Issues
2.Measurement
System Issues
3.Bias
4.Repeatability
5.Reproducibility
6.R & R
7.Stability
8.Linearity
9.Gage Study
Preparation Guide
10.Workshops
11.CEU and RU
credits are awarded
Additional Information Resources
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