Gage RR – Resolution

You have already noted the answer. It is a little confusing to me why some people require a 10% level of precision and a 10% GR&R.
Anyway, I would guess that you do not have enough variation in your sample. You also do not have enough resolution in your gage to have different messurements for the same piece. So, either your gage and operators are too good or your process is too capable. In either case, to get a good GR&R you need to have some variation in the observed data. 

Well, you got me there. I don’t know anything about the number of distinct categories.  My guess is that 1.41 is the square root of 2.
OK, who really knows?

Hai Valdek.
If the resolution of the gage is not at least 10* smaller than your area of interest (Product Range or Customer Tolerance) it will be very difficult to achieve a gage r&R% result of 10% or lower.
So you have to think about:-do I want to distinguish my products very well among each other (=> Product Range) OR do I want to measure my products well within the area that my customer finds agreeable (Customer Tolerance)- How good does my gage r&R % result have to be (your choice)?  * 10% because that’s the rule for excellent  * 30% because that’s the rule for acceptable  * 50% because that’s practical  *100% because I can then at least measure roughly  * …?
The combination of this gives you an indication how good the Resolution should be. And remember: to determine the Resolution you don’t need any measurements: it’s in the specs of your gage.#Distinct Categories is another parameter that measures the quality of your gage; there is a formula between gage r&R % and #DC (look it up in Minitab help if you want to no the function)
Michael: 1.4 = SQRT(1.96) and 1.96 is in the formula of CI of Mu (see Minitab Help)
Hope this helps

Hai Valdek:
Sorry, I can not decide for you. But I can explain how you could decide based on the info you already have. In my (maybe wrong) conclusion you don’t know exactly what all info is the tool gives you.
Assuming 0.006-0.014 is the range of the measurents during the Gage r&R while the customer specs are 0-0.3 I conclude:
-you use the default calculation of Minitab for gage r&R % -you use the default product range and not the Tolerance option-your products show small variation compared to customer wish (cp=2).So the result of the gage r&R tells you (with #DC as your decision parameter) that this gage system is not good enough to distinguish between the products! That does not necessarily mean that your customer will be unhappy.
If you use the Tolerance option you get the result of %Tol as extra column which tells you how good the system is to determine the product value within the specs. Using the Tolerance option gives an extra column in the Session Window (no recalculations!). This means also that the number of distinct categories does not change!! The #DC is always related to the range of the products used in the analysis and not to the Tolerance value (or Historic Sigma) that you filled in under options.
To estimate the gage r&R% from the tolerance option (=%Tol):the default gage r&R% * Range products/Tolerance. So I predict that you get a factor 8/300 smaller result (and the # DC will improve but I don’t know the exact formula and your #DC=1 could be a rounded up because Minitab has 1 as absolute minimum)
hint: the top value of the column with 6*SD (or 5.15*SD) represents the CI of 1 measurement (ie if I have 1 measurement I have a high confidence (99.7% or 99%) that the real product value is within an interval of that width around my measurement).
Hope this helps
 

Gage R and R is used to ensure that your measurements are correct or acceptable to measure the process , they are not a measurement of the process.
To correctly measure for Gage R and R you have 2 options …short term and long term measurement
 Short term is 2 operators measuring 5 of the same products in exactly the same way twice each.
Long term is 3 operators measuring 10 of the same items in exactly the same way 10 times each
the key here is to use the SAME , measuring tools, people and set of IDENTICAL items for each measurement
This will ensure the discrimination, Linearity and stability of your measurement system is standardised.
If your process variability is under 10% the measurement is acceptable, 10 to 30 % the measurement may be acceptable over 30% and your measurements are no good.

Chris does not know what he is talking about with his short term /
long term distinctions.Any study which represents the true measurement capability has to
include ALL who perform the measure and should be repeated
periodically including when the system is calibrated or repaired,
when there is a new operator or fixture, when an operator has not
performed the measure for some period of time.GR&R needs to be a requirement of the Quality System, not a Six
Sigma tool. A SS project should only verify that the calibration and
MSA studies are in place and adequate.By the way, the 10 to 30 % rule is crap. Is 30% adequate or not? I
know the answer, do you?

Go read the books Chris, you don’t know what you are talking about.They use the terms Short and Long. Not short and long term. They also did not write the books on the theory – that came out of
GM in 1962.

Is it this wheeler?http://www.amazon.ca/Introduction-Engineering-Experimentation-Anthony-Wheeler/dp/product-description/0133374114ThanksAndrew

Chris with that type of closed mind attitude, you will never learn. Your answer was wrong. If your going to site books or guidelines, at least get it correct, or don’t post.

Outstanding Chad considering your first post was intercepted and deleted because it breached community guidelines.
I am interested to know what it was that you originally posted that was deemed sufficent to be removed from the site?
As a person who deems themselves worthy of being proficient to post to this site can you please enlighten all others as to what your original posting stated?
HHHHHMMM did not think so …all mouth and no trousers.

Chris
Your interpretation is wrong, Completely wrong. My original message simply said you fail, and I will post again.
I’ll state again, if your going to post answers, give correct ones.
A Gage R&R is conducted to determine whether excessive variability within the process exist in the measurement system. The guidelines in the AIAG manual, are simply that, guidelines, they are not hard rules.  Samples to be measured should represent the process normal distribution. The original poster is having problem with the ability to determine one part from another. There is a couple reasons this happens, one is the sample of parts are not representitive of the process and/or the gage is not capable of measuring the difference in the samples. Which had already been answered, no input from you needed.
To further Stan’s point, you don’t have a clue when it comes to Short and Long term. I have never heard anyone say that. And you are also wrong about where the AIGA manual came from. It was adopted procedure developed by GM; John Deere also has a very similar manual.  Again Stan is correct about how a Gage R&R should be used, so pull your head out of the sand hole its in and you might learn something
Now if you want to continue to pick fights there is other sites with individuals who will debate with you all day long, I suggest you go there.
 
Regards
Ps: Duct Tape is like the Force, it has a light side and dark side, and holds the universe together

Michael
Attention to detail makes a big difference…………Agree?

Chris honey, it’s your ego that is fragile.
Your advice is wrong and your understanding of this tool is shallow. The AIAG manual is called Measurement System Analysis, not GR&R. What is your System? 2 operators, 3 operators, or ALL who perform the measurments? MSA properly applied pertains to all who make the measurements.