Quality and Reliability Methods - SAS

128 Assess Measurement Systems Chapter 8
Measurement Systems Analysis Platform Options
Std Dev Chart (only appears if you selected Standard Deviation as the Chart Dispersion Option in the
launch window) a plot of the standard deviation statistic for each combination of the part and X
variables. The Standard Deviation Chart helps you check for consistency within subgroups. In a
Standard Deviation Chart, data within limits is desirable, indicating homogeneity in your error. See
“Range Chart or Standard Deviation Chart” on page 129.
Parallelism Plots an overlay plot that reflects the average measurement values for each part. If the lines
are relatively not parallel or crossing, there might be an interaction between the part and X variables.
Tip: Interactions indicate a serious issue that requires further investigation. For example, interactions
between parts and operators mean that operators are measuring different parts differently, on average.
Therefore, measurement variability is not predictable. This issue requires further investigation to find out
why the operators do not have the same pattern or profile over the parts.
EMP Results a report that computes several statistics to help you assess and classify your measurement
system. See “EMP Results” on page 129.
Effective Resolution a report containing results for the resolution of a measurement system. See
“Effective Resolution” on page 131.
Bias Comparison an Analysis of Means chart for testing if the X variables have different averages. See
“Bias Comparison” on page 132.
Test-Retest Error Comparison an Analysis of Means for Variances chart for testing if any of the groups
have different test-retest error levels. See “Test-Retest Error Comparison” on page 133.
Shift Detection Profiler an interactive set of charts that you can adjust to see the probabilities of getting
warnings on your process behavior chart. See “Shift Detection Profiler” on page 132.
Variance Components a report containing the estimates of the variance components for the given
model. The calculations in this report are based on variances, not ranges. Balanced data uses the EMS
method. Unbalanced data uses the REML method.
Note: This report is similar to the Variance Components report in the Variability Chart platform, except
that it does not compute Bayesian variance component estimates. For more information, see “Variance
Components” on page 160 in the “Variability Charts” chapter.
EMP Gauge RR Results a report that partitions the variability in the measurements into part variation
and measurement system variation. The calculations in this report are based on variances, not ranges.
Note: This report is similar to the Gauge R&R report in the Variability Chart platform, except that the
calculation for Reproducibility does not include interactions. For more information about Gauge R&R
studies, see “R&R Measurement Systems” on page 163 in the “Variability Charts” chapter.
Script
this menu contains options that are available to all platforms. See Using JMP.