This guide provides instructions on performing a measurement system analysis (MSA) using the EMP (Evaluating the Measurement Process) method. This analysis is designed to evaluate and certify the performance of a measurement system that produces continuous data.
Measurement Systems Analysis: EMP Method
- Select Analyze > Quality and Process > Measurement System Analysis.
- Click on a continuous variable from Select Columns, and click Y, Response (continuous variables have blue triangles).
- Select a part or sample variable and click Part, Sample ID.
- Select one or more grouping variables and click X, Grouping.
- Ensure that EMP is the MSA Method, and click OK.
Notes: If desired, change the Chart Dispersion Type to Standard Deviation to base analyses on standard deviations instead of ranges,
and change Model Type if required.
By default, JMP displays an Average Chart and a Range Chart:
- The Average Chart shows the average measurement for each combination of the part and the grouping variables. Out-of-control points are desirable, as they indicate the ability to detect part-to-part variation.
- The Range Chart shows the range for each combination of the part and the grouping variables. Having all points within the control limits is desirable, as this indicates similar measurement error across groups.
Note: A Standard Deviation Chart displays if the Chart Dispersion Type has been changed to Standard Deviation.)
Many additional options are available under the top red triangle:
- Parallelism Plots, for assessing interactions between the parts and the grouping variables.
- EMP Results, for evaluating and classifying the measurement system.
- Effective Resolution, for determining the resolution of the measurement system.
- Bias Comparison and Test-Retest Error Comparison plots, for assessing differences in grouping variable means and errors, respectively.
- Shift Detection Profiler, for dynamically exploring the probability of a warning.
- Variance Components and EMP Gauge RR Results, for quantifying sources of measurement system variation.
Visit Quality and Process Methods > Measurement Systems Analysis in JMP Help to learn more.