MSA (Measurement Systems Analysis), i.e. Measurement Systems Analysis, is a set of methods used to assess the quality, accuracy and repeatability of measurement systems applied in production and quality processes.
The purpose of MSA is to verify whether a given measurement system – regardless of whether it is a manual instrument, an automatic device, a vision system or an inspection performed by a person (e.g. visual inspection) – provides reliable and stable data that can serve as a basis for decision-making.
Measurement system analysis makes it possible to identify errors resulting from the variability of operators, equipment, measurement methods and conditions, as well as to assess whether the system is properly selected for the measured characteristic and requirements specified, for example, in the control plan.
Currently, there are two popular approaches to analysis: the AIAG approach, based on the analysis of measurement system variability, and the VDA 5 approach, which is based on determining and evaluating the measurement uncertainty budget. Based on available publications and industry information, gradual efforts are also being made to harmonize the AIAG and VDA 5 approaches.