Quality Management & Training


Measurement Systems Analysis (MSA) is used for the purpose of assessing the capability of inspection, measurement and test equipment systems for specific tasks.

Measurement data are used in a variety of ways, often for decision-making in respect of product conformity, and monitoring of process performance.

It is important that the measurement data is reliable, otherwise incorrect decisions could be made which could result, for example, in nonconforming products being shipped to a customer.

Advanced Product Quality Planning (APQP)

Failure Mode and Effects Analysis (FMEA)

Measurement Systems Analysis (MSA)

Statistical Process Control (SPC)

Production Part Approval Process (PPAP)

The above courses can be delivered individually or as a consolidated programme of training.


  • Establishes the capability of inspection, measurement and test equipment systems prior to the start of serial production
  • Enables the risk of incorrect decisions arising from variation in measurement systems to be determined
  • Supports a risk-based approach and requirements of quality management systems, e.g. IATF 16949
  • Assists an organisation to consistently satisfy customer requirements


This course is appropriate for all personnel who are involved in evaluating, auditing, and maintaining measurement systems. including:

  • Process managers and engineers
  • SPC facilitators
  • Quality engineers
  • Laboratory scientists and technicians
  • Internal quality auditors
  • Data analysts
  • Continual improvement practitioners


The delegates should understand:

  • The nature of measurement errors
  • How measurement error can affect decision making regarding process and product characteristics
  • How to plan, carry out, and interpret a variety of MSA studies
  • The linkage with quality management requirements, e.g. IATF 16949, APQP / PPAP

On completion of the course, delegates will be a QM&T validated and certificated MSA practitioner.


Introduction to MSA

  • Types of measurement system errors
  • Measurement system discrimination

Stability study

Bias study

Linearity study

Gauge Repeatability & Reproducibility (GRR) study

  • Range method
  • Type 2 (crossed) Average and Range method

Evaluating the results of a GRR study

  • Graphical analysis
  • Indices for GRR
  • Analysis of Variance (ANOVA)

Attribute Studies

  • Attribute Agreement using kappa

Studies for non-replicable measurements

  • Nested ANOVA method

MSA plans & reporting