Each Measurement Systems Analysis report red triangle menu contains the following options:
Average Chart
Shows or hides a plot of the average measurement values for each combination of the part and X variables. See Average Chart.
Range Chart
(Available only when Range is the Chart Dispersion Type selected in the launch window.) Shows or hides a plot of the variability statistic for each combination of the part and X variables. See Dispersion Chart.
Std Dev Chart
(Available only when Standard Deviation is the Chart Dispersion Type selected in the launch window.) Shows or hides a plot of the standard deviation statistic for each combination of the part and X variables. See Dispersion Chart.
Parallelism Plots
Shows or hides 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
Shows or hides a report that computes several statistics to help you assess and classify your measurement system. See EMP Results Report.
Effective Resolution
Shows or hides a table containing results for the resolution of a measurement system, which helps you determine how well your measurement increments are working. In the table, the Current Measurement Increment reflects how many digits you are currently rounding to. This is taken from the data as the nearest power of ten. This number is compared to the Smallest Effective Increment, Lower Bound Increment, and Largest Effective Increment. Based on that comparison, a recommendation is made as to whether your current increments are effective as is or if any adjustments should be made.
Note: Large measurement increments have less uncertainty in the last digit, but large median errors. Small measurement increments have small median errors, but more uncertainty in the last digit.
Bias Comparison
Shows or hides an Analysis of Means chart for testing if the X variables have different averages. See Bias Comparison Report.
Test-Retest Error Comparison
Shows or hides an Analysis of Means for Variances or Analysis of Means Ranges chart for testing if any of the groups have different test-retest error levels. This chart shows if there are differences in the test-retest error between operators. The Analysis of Mean Ranges chart is displayed when ranges are used for variance components.
– For information about the options in the red triangle menu next to Operator Variance Test, see Bias Comparison Report.
– For more information about Analysis of Means for Variances charts, see Variance Components.
Shift Detection Profiler
Shows or hides 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.
Variance Components
Shows or hides 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. See Variance Components.
EMP Gauge R&R Results
Shows or hides 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. Because negative variance components are set to zero, values of zero could indicate outliers in your results.
Note: This report is similar to the Gauge R&R report in the Variability Chart platform. However, by default, the calculation for Reproducibility does not include interactions. To specify that interactions be included in the Reproducibility calculation, select the Include Interactions in Reproducibility platform preference. This preference is located in File > Preferences > Platforms > EMP Measurement Systems Analysis. For more information about Gauge R&R studies, see About the Gauge R&R Method.
AIAG Gauge R&R Results
Shows or hides a report that partitions the variability in the measurements into part variation and measurement system variation. The calculation for Reproducibility includes interactions. This report is the same as the Gauge R&R report in the Variability Chart platform. See Gauge R&R Report. The AIAG Gauge R&R Results red triangle menu contains the following options:
AIAG Labels
Shows or hides the column of labels in the AIAG Gauge R&R Results report defined by the Automotive Industry Action Group (AIAG).
Discrimination Ratio
Adds the Discrimination Ratio to the Summary and Gauge R&R Statistics section of the AIAG Gauge R&R Results report. The discrimination ratio compares the total variance of the measurement with the variance of the measurement error and characterizes the relative usefulness of a given measurement for a specific product. Generally, when the discrimination ratio is less than 2, the measurement cannot detect product variation, implying that the measurement process needs improvement. A discrimination ratio greater than 4 adequately detects unacceptable product variation, implying that the production process needs improvement. See Statistical Details for the Discrimination Ratio.
Misclassification Probabilities
(Available only if lower and upper tolerance values are specified for the response in the MSA Metadata.) Shows or hides a report of probabilities for rejecting good parts and accepting bad parts. See Misclassification Probabilities.
Linearity and Bias Results
(Available only if a Standard column is specified in the launch window.) Shows or hides a graph and summary from a regression analysis using the standard column as the X variable and the bias as the Y variable. This analysis examines the relationship between bias and the size of the part. A nonzero slope indicates that your gauge performs differently with different sized parts. See Linearity and Bias Results Report.
Edit MSA Metadata
Opens a window that enables you to add or edit the tolerance range, tolerance limits, historical mean, and historical process sigma. See Show MSA Metadata Entry Dialog.