Measurement System Analysis
Chapter 11
Gauge R & R studyGauge R & R is a means of assessing the Repeatibility and Reproducibility of our measurement systems.
Gauge R & R studies are carried out in order to discover how much of the process variation is due to measurement device and measurement methods.
It can be classified as :
1. Variable Gauge R & R
2. Attribute Gauge R & R
Variable Gauge R & R
Requirements :- A minimum of two operators ( recommend 3 or 4 )
- Atleast 10 parts which should be chosen to represent the full range of manufacturing variation ( it may be acceptable to use fewer parts in some special cases. )
- Each part should be measured two or three times in a random order.
- Operator should not be aware of the previous result when measuring the same part.
- There are two methods available :
1. Analysis of Variance ( ANOVA )
2. Xbar and R
- The ANOVA method is :
* the recommended approach.
* takes into account any interactive effect between
operator and part.
The interpretation will also depend on the current level of process variation.
ndc is number of distinct categories.
( n >= 5)
" This value represents the number of groups measurement tool can be distinguished from itself.The higher this number the better the tool has in discerning one part from another."
* When number of categories is less than 2,the measurement system is of no value for controlling the process , since one part cannot be distinguished from another.
* When the number of categories is 2, the data can be divided into two groups , say high and low.
* When the number of categories is 3, the data can be divided into 3 groups , say low, middle and high.
* A value of 5 or more denotes an acceptable measurement system.
* Analyze more distinct parts that truely represents the entire range of the process.
* Increase precision on your measuring tool.
* Take 10 parts and each appraiser will take 3 readings of each part.
* Then, average of all 10 parts reading will be calculated for each reading.
* Construct table as shown below :
The interpretation will also depend on the current level of process variation.
ndc is number of distinct categories.
( n >= 5)
" This value represents the number of groups measurement tool can be distinguished from itself.The higher this number the better the tool has in discerning one part from another."
* When number of categories is less than 2,the measurement system is of no value for controlling the process , since one part cannot be distinguished from another.
* When the number of categories is 2, the data can be divided into two groups , say high and low.
* When the number of categories is 3, the data can be divided into 3 groups , say low, middle and high.
* A value of 5 or more denotes an acceptable measurement system.
What Practical action to take if ndc<5 ?
Let's say you do get a value below 5 ? What next ? Well there are two things you can do.* Analyze more distinct parts that truely represents the entire range of the process.
* Increase precision on your measuring tool.
Calculations related to Variable Gauge R & R Study
* There will be 3 appraiser* Take 10 parts and each appraiser will take 3 readings of each part.
* Then, average of all 10 parts reading will be calculated for each reading.
* Construct table as shown below :
* Then, from above table calculate Xa bar and Ra bar
Xa bar is average of averages.
Ra bar is average of Ranges.
* Similary ,
for Appraiser 2 and 3 each
Construct table as above and do experiment as above using same 10 parts and find Xb bar and Rb bar.
* After this part average of each part of all 10 parts will be calculated. The 9 Readings ( including reading of appraiser 1 , 2 , and 3 ) will be used to calculate part average as shown in table below.
* Rp is Range of Part Averages.
Rp = ( Max part average - Min part averages )
* Next, perform the following calculation
* Now, for Repeatability and Reproducibility perform the following calculation.
* Now, to calculate GRR ( Gauge Repeatability and Reproducibility ) we have to use these formulas
and value of constant K3 is calculated from following table
* To calculate total variation perform following calculation
Acceptance criteria is described below :
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