# The VARCOMP Procedure

### Gauge Repeatability and Reproducibility Analysis

In a typical gauge R&R experiment, each operator () makes multiple observations on each of several similar parts () from a monitored process. The statistical model used to describe the response variable is the balanced two-factor crossed random model with interaction

where is an unknown constant, and are jointly independent normal random variables with means of zero and variances and , respectively. The corresponding SAS statements are as follows:

proc varcomp method=grr;
class P O;
model y = P|O;
run;


The first random effect in the MODEL statement is assumed to be the Part effect and the second is Operator.

The ANOVA table for the preceding model is shown in Table 105.2.

Table 105.2: GRR Analysis of Variance

Source

DF

Mean Square

Expected Mean Square

Parts(P)

Operators(O)

PO

Error(E)

The gauge R&R parameters of interest are given in Table 105.3 in terms of and

Table 105.3: Gauge R&R Parameters

Parameter

Formula

Mean of population of measurements

Variance of the monitored process

Variance of the measurement system

Total variance of the response variable

Ratio of process variance to measurement variance

Proportion of total variance due to the process

Proportion of total variance due to the measurement

Signal-to-noise ratio

Discrimination ratio

For a one-way model, and for a two-way model with no interaction,

If you use the SPECLIMITS option to give specification limits, the two parameters in Table 105.4 will also be estimated and displayed.

Table 105.4: Gauge R&R Parameters Related to Specification Limits

Parameter

Formula

Precision-to-tolerance ratio

Process capability ratio

Here, USL and LSL are the specification limits, and the value k corresponds to the number of standard deviations between the natural tolerance limits of a normal process.

If you use the RATIO option, the ratios in Table 105.5 will also be estimated and displayed.

Table 105.5: Gauge R&R Ratios

Ratio

Formula

Ratio of process variance to total variance

Ratio of operator variance to total variance

Ratio of process by operator variance to total variance

Ratio of process variance to residual variance

Ratio of operator variance to residual variance

Ratio of process by operator variance to residual variance