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Quality and Reliability Methods - SAS

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126 Assess Measurement Systems Chapter 8<br />

Example of Measurement Systems Analysis<br />

The EMP Results report computes several statistics to help you assess <strong>and</strong> classify your measurement system.<br />

The Intraclass Correlation indicates the proportion of the total variation that you can attribute to the part.<br />

From the EMP Results report, you can conclude the following:<br />

• The Intraclass Correlation values are close to 1, indicating that most of the variation is coming from the<br />

part instead of the measurement system.<br />

• The classification is First Class, meaning that the strength of the process signal is weakened by less than<br />

10%.<br />

• There is at least a 99% chance of detecting a warning using Test 1 only.<br />

• There is 100% chance of detecting a warning using Tests 1-4.<br />

Note: For more information about tests <strong>and</strong> detecting process shifts, see “Shift Detection Profiler” on<br />

page 132.<br />

There is no interaction between operators <strong>and</strong> parts, <strong>and</strong> there is very little variation in your measurements<br />

(the classification is First Class). Therefore, you conclude that the measurement system is performing<br />

quite well.<br />

Launch the Measurement Systems Analysis Platform<br />

Launch the Measurement Systems Analysis platform by selecting Analyze > <strong>Quality</strong> <strong>and</strong> Process ><br />

Measurement Systems Analysis.<br />

Figure 8.5 The Measurement Systems Analysis Window<br />

The Measurement Systems Analysis window contains the following features:<br />

Select Columns<br />

lists all of the variables in your current data table. Move a selected column into a role.

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