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Quality and Reliability Methods - SAS

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Chapter 8 Assess Measurement Systems 131<br />

Measurement Systems Analysis Platform Options<br />

Classes of Process Monitors<br />

In order to underst<strong>and</strong> the System <strong>and</strong> Classification parameters, you must first underst<strong>and</strong> the Monitor<br />

Classification Legend.<br />

Figure 8.6 Monitor Classification Legend<br />

This legend describes the following classifications: First, Second, Third, <strong>and</strong> Fourth Class. Each<br />

classification indicates the following:<br />

• the corresponding Intraclass Correlation values<br />

• the amount of process signal attenuation (decrease)<br />

• the chance of detecting a 3 st<strong>and</strong>ard error shift within 10 subgroups, using Wheeler’s test one or all four<br />

tests<br />

Wheeler (2006) identifies four detection tests known as the Western Electric Zone Tests. Within the Shift<br />

Detection Profiler, there are eight tests that you can select from. The tests that correspond to the Wheeler<br />

tests are the first, second, fifth, <strong>and</strong> sixth tests.<br />

Effective Resolution<br />

The Effective Resolution report helps you determine how well your measurement increments are working.<br />

You might find that you need to add or drop digits when recording your measurements, or your current<br />

increments might be effective as is. Note the following:<br />

• The Probable Error calculates the minimum value of the median error of a measurement.<br />

• The Current Measurement Increment reflects how many digits you are currently rounding to <strong>and</strong> is<br />

taken from the data as the nearest power of ten. This number is compared to the Smallest Effective<br />

Increment, Lower Bound Increment, <strong>and</strong> Largest Effective Increment. Based on that comparison, a<br />

recommendation is made.<br />

• Large measurement increments have less uncertainty in the last digit, but large median errors. Small<br />

measurement increments have small median errors, but more uncertainty in the last digit.

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