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Quality and Reliability Methods - SAS

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Chapter 10 Variability Charts 165<br />

R&R Measurement Systems<br />

Also note that there is a platform preference (found in JMP’s preferences) that enables you to set the default<br />

K that appears on this dialog.<br />

In this example the report shows the statistics as a percentage of the tolerance interval (Upper Spec Limit<br />

minus Lower Spec Limit). The values are square roots of sums of variance components scaled by a value k,<br />

which is 6 in this example. Figure 10.12 shows the Gauge R&R report for the example shown previously,<br />

using the data in 2 Factors Crossed.jmp.<br />

Figure 10.12 Gauge R&R Report<br />

Barrentine (1991) suggests the following guidelines for an acceptable RR percent (percent measurement<br />

variation):<br />

Table 10.3 Acceptable Variation<br />

< 10% excellent<br />

11% to 20% adequate<br />

21% to 30% marginally acceptable<br />

> 30% unacceptable<br />

• If a tolerance interval is given on the Gauge specifications dialog, a new column appears in the Gauge<br />

R&R report called ‘% of Tolerance”. This column is computed as 100*(Variation/Tolerance). In<br />

addition, the Precision-to-Tolerance ratio is presented at the bottom of the report. It represents the<br />

proportion of the tolerance or capability interval that is lost due to gauge variability.<br />

• If a historical sigma is given on the Gauge specifications dialog, a new column appears in the Gauge<br />

R&R report, named “% Process”. This column is defined as:

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