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![]() Statistical Techniques and 6 Sigma
![]() G R&R
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| Author | Topic: G R&R |
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AllenLee Forum Contributor Posts: 13 |
I have a silly question, does the G R&R mean 5.15¦Òm ( Standard deviation of measurement system)? Thanks! Allen ------------------ IP: Logged |
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Ken K. unregistered |
A gage R&R is a method of evaluating several potential sources of variation in a measurement system. The typical gage R&R quantifies the variation due to differences between parts, between operators, and between units treated identically (gage variation). The idea is that the variation between operators and the gage variation should be small compared to the total variation observed. If it is not, you can use the gage R&R to determine whether you need to retrain your operators or improve your gage, or both. If you haven't already, I strongly suggest you purchase a copy of the AIAG Measurement System Analysis Reference Manual, available at http://www.aiag.org/publications/quality/dcxfordgm.html Follow the MSA-2 link. Only $11 for non-members. It is well written. I also strongly suggest you invest in statistical software capable of analyzing the results properly. Your best bets are MINITAB, StatGraphics, and JMP. I prefer MINITAB. Ken K. IP: Logged |
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Rick Goodson Forum Wizard Posts: 135 |
Ken, You opened the door for another question. Why do you prefer Minitab over StatGraphics or JMP?Regards, Rick IP: Logged |
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AllenLee Forum Contributor Posts: 13 |
Thanks for your response. But my question is whether the G R&R is the 90% of the measurement system distribution (5.15 sigma of measurement system). For I see, in the formula calculating EV and AV, it includes the constent index 5.15, am I right? Thanks! Allen ------------------ IP: Logged |
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Ken K. unregistered |
The formulas use 5.15, which reprsents the number of standard deviations that contain the central 99% of the normal distribution. The only way to make a realistic statement regarding the %-contribution of the variation is to obtain variance components using the ANOVA-method (these are the variances as opposed to the std. deviations). The variances can be added to calculate percentages of the total observed variation. By dividing the R&R variance by the sum of ALL the variances you can determine the %-contribution of the measurement system. That is one reason I like MINITAB better than JMP. MINITAB provides both the average & range and ANOVA methods. I prefer the ANOVA method. JMP can do the ANOVA method, but more handwork needs to be done. I used to have the demo for StatGraphics 5, but it has expired and I can't remember much about its GR&R tool. I tend to like MINITAB because overall it has a better laid out set of tools. With respect to the GR&R, StatGraphic's latest version added a one-page report much like MINITAB has had for several years, but I still like MINITAB's better. Ken K. IP: Logged |
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Rick Goodson Forum Wizard Posts: 135 |
Ken, Thanks for the input! Always nice to get the users point of view when evaluating software. Rick IP: Logged |
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Ken K. unregistered |
If MINITAB was "taken away from me" I'd probably have a tough time deciding between JMP and StatGraphics. I'd probably have to go with SG, since JMP's tools aren't really AIAG (Automotive Industry Action Group) complient for Process Capability, and I work for an automotive industry company. We've used both in the past - StatGraphics through their Windows version 2, and then JMP 3.x. It wasn't until I looked at the StatGraphics 5 Demo that I realized how poor SG's data manipulation tools are. Now that I think of it I did end up using Excel for most of my manipulation when I used SG. MINITAB just rolls over SG in that category. JMP's data manipulation tools are a little better, but not much. The other real advantage MINITAB has is in the area of reliability/survival analysis - their tools are becoming really near-world class. I'm told their goal is to have world class reliability tools by version 14, which should roll out in 2002. From what I've seen in version 13.3 I'm sure they'll do it. High marks for implementation and ease of use. Ken K. IP: Logged |
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