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Measurement System Analysis (MSA): Ensuring Measurement Accuracy in Production

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Measurement System Analysis (MSA) is a core factor in modern metrology, as it determines whether a measurement system is capable of performing a measurement task reliably and accurately.

In production environments, measurement results form the basis for quality decisions. If the measurement system itself is not capable, even the most advanced manufacturing process cannot guarantee product quality.

What is Measurement System Analysis?

In industrial measurement technology, a Measurement Process Analysis (MPA) or Measurement System Analysis (MSA) is conducted to evaluate the capability of a measurement system under real operating conditions.

The goal is to determine:

By analyzing these factors, manufacturers can ensure that their measuring instruments are capable of completing measurement tasks adequately and reliably.
 

Cg and Cgk – Key Indicators of Measurement Capability

Measurement process capability is quantified using the indices Cg and Cgk.

They evaluate:

Cg → Precision (standard deviation)

Cgk → Combined precision + bias (trueness)

In many industries, a measurement system must meet:

Cg / Cgk > T

The tolerance factor T varies depending on:

The higher the Cgk value, the more capable and reliable the measurement system.

T … tolerance in the drawing 
S … standard deviation of the measurement 
xg- xm…. bias of the measurement in relation to a reference value

Influencing Factors on Measurement Results

In practice, measurement capability is not determined by the instrument alone.

Multiple influencing factors must be controlled, such as:

  • Operator influence
  • Measurement device performance
  • Environmental conditions
  • Fixturing and positioning
  • Calibration status

These factors are often visualized using an Ishikawa (fishbone) diagram, highlighting root causes of measurement variation.

Ishikawa diagram

Improve Your Measurement Accuracy Systematically

While MSA and Gage R&R studies reveal whether a measurement system is capable, they do not necessarily explain how to improve measurement accuracy.

If you want to go one step further and actively optimize your measurement performance, our in-depth whitepaper provides practical guidance.

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  • How to evaluate metrological performance
  • Influencing factors affecting measurement results
  • Best practices from real applications, including:
    • High-precision stamping tools
    • Bone screws
    • Cooling holes in turbine blades

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