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Quality and Reliability Methods - SAS

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138 Assess Measurement Systems Chapter 8<br />

Additional Example of Measurement Systems Analysis<br />

Figure 8.12 Shift Detection Profiler<br />

Change the parameters to see what your chances are of detecting a 3 sigma shift when only one test is<br />

selected. For the Part Mean Shift value, change 2.1701 to 6.51 (2.17 multiplied by 3). Your probability of<br />

detecting a 3 sigma shift goes up to almost 96%.<br />

Next, change the parameters to eliminate bias <strong>and</strong> see how that affects your chances of detecting warnings.<br />

For the Bias Factors Std Dev value, change 1.1256 to 0. Your probability of detecting warnings goes up to<br />

almost 99%.<br />

Finally, add more tests to see how your probability of detecting warnings changes. In addition to the first<br />

test, select the second, fifth, <strong>and</strong> sixth tests. Your probability of detecting warnings goes up to nearly 100%.<br />

Examine Measurement Increments<br />

Finally, see how well your measurement increments are working. From the red triangle menu next to<br />

Measurement Systems Analysis, select Effective Resolution.

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