MSA software

MSA Software for Gauge R&R and Measurement Studies

Before you trust a measurement, you have to trust the thing that took it. MSA is how you find out whether the variation you are seeing is the process or the gauge.

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The problem

A capability study on an untrusted gauge is arithmetic, not evidence.

Every number in a control chart, a capability index and a submission came off a gauge. If that gauge contributes a third of the observed variation, the process looks worse than it is — and the improvement effort goes to the wrong place. MSA separates the two.

The reason it gets skipped is usually filing rather than statistics: the study is done in a spreadsheet, the verdict lives in a folder, and nothing connects it to the characteristic it qualifies. Held against the gauge and the characteristic, the study is a record a submission can reference and an auditor can follow.

Gauge R&R

Repeatability and reproducibility by the average-and-range and ANOVA methods, with the percentage of study variation and the number of distinct categories.

Beyond R&R

Bias, linearity, stability and attribute agreement — the four studies that get left out when a spreadsheet only does one.

Tied to the gauge

A study belongs to the gauge that was used, so its calibration state is part of the picture.

Tied to the characteristic

The verdict attaches to what was being measured, not to a filename.

Verdict, not just numbers

Acceptable, marginal or unacceptable — stated, with the figures that decided it.

Referenced by PPAP

The submission points at the study rather than embedding a screenshot of one.

Where it sits

MSA sits between the control plan and the inspection.

The control plan says which gauge measures a characteristic. MSA says whether that gauge is capable of it. Inspection then records results you have reason to believe.

  • Gauge R&R by average-and-range and ANOVA
  • Bias, linearity, stability and attribute agreement studies
  • Percentage study variation and distinct categories
  • Studies held against the gauge and the characteristic
  • A stated verdict with the figures behind it
  • Referenced directly by a PPAP submission
FAQ

Questions about MSA software

What is MSA?
Measurement System Analysis is the set of studies that establish how much of the variation you observe comes from the measurement system rather than from the process. The best known is gauge R&R; bias, linearity, stability and attribute agreement answer different questions about the same system.
What does gauge R&R actually measure?
Repeatability is the variation when one person measures the same part repeatedly with the same gauge. Reproducibility is the variation between people measuring the same parts. Together they are the measurement system’s contribution to what you see.
Which method does the software use?
Both the average-and-range method and ANOVA are supported. ANOVA additionally separates the operator-by-part interaction, which the average-and-range method folds into reproducibility.
Do we need MSA for every characteristic?
No — and the product does not pretend otherwise. Which characteristics require a study is decided by your control plan and your customer’s requirements, not by the software.
Does an MSA study affect a PPAP submission?
It can be referenced as evidence for the measurement system analysis element. Whether it is required, and at what level, comes from the customer’s own requirement profile.
Get started

Know whether it is the process or the gauge.

Bring APQP, FMEA, PPAP, process flow, control plans, inspection and SPC into one connected platform.

Questions? support@easyqualityflow.com