Anova Gage Repeatability & Reproducibility

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Manufacturers are continually striving to improve product and process quality and reduce part variation in their processes. The fact is variation exists in every manufacturing process. The common method that many design engineers use to address variance is to assign a tolerance range to their print dimensions. The manufacturing processes are then monitored through the application of Statistical Process Control (SPC) methodology including regular data collection intended to keep the process in a “state of control”. The success of any SPC system depends upon precise and accurate data. Unfortunately, all measurement data contains a certain percentage of variation. The variation is the difference between the true values and the observed values. The variation represents the amount of measurement error. In addition to measurement error, is the actual product or process variation. When we combine measurement error with product or process variation the resulting value represents the total variation. To assure that our measurement data is accurate we must determine if the amount of variation is acceptable. An effective tool for evaluating measurement variation is Gage Repeatability and Reproducibility (Gage R & R).

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Submitted On:
17 Mar 2021
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58.12 Kb
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2
File Version:
1.0
File Author:
The Temp
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Comments: 1
JohnDoyle[Admin] 8 months ago
A nice debut calculation! I have awarded a three month XLC Pro subscription by way of thanks.