The concept of Surrogate Process Variation in MSAs

I

iamasinner

#1
Hi, I'm having some difficulty understanding the concept of surrogate process variation in MSAs. A customer has requested a Gage R&R however the process is very stable and very low Part to Part variation will be observed.

I read in another thread there is an alternative to combat low part to part variation called surrogate process variation and can be substituted as TV.
My question is
1) Do I have to use Mini-Tab or can it be done in any ANOVA based template
2) How do I actually put the formula in
 
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#3
I read in another thread there is an alternative to combat low part to part variation called surrogate process variation and can be substituted as TV.
My question is
1) Do I have to use Mini-Tab or can it be done in any ANOVA based template
2) How do I actually put the formula in
The alternative is not intended to "combat low part to part variation", but is meant to allow you to substitute a better estimate of part to part variation such as from a capability study or from a surrogate process. In Minitab, this will give you a metric called %PV (% process variation).

You can do this in any Excel - based template. Simply add a field to enter the process variation form a study then modify the formulae that calculate the %SV to use this field instead of the variation calculated from the study itself. If you want to get fancy, add logic that will use the PV if a number has been entered, or the SV if one has not. You will also need to add logic to correctly display %PV or %SV.
 

bobdoering

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#4
It is also a valid logic when the process run is too short to represent the variation of the process over time with more lots of material and set-ups (e.g. PPAP run). This allows you to deal with an artificially tight PV.
 
I

iamasinner

#5
Ok this helps. Still confused how to actually factor in the substitute process variation. Are there any example gauge r&R studies anyone could share?
 
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