Achieve a basic knowledge of the principles of measurement systems analysis (MSA) and an understanding of the importance of MSA techniques on the Measurement Systems Analysis training course.

This 1-day practical course includes modules and interactive workshops encouraging team discussions on topics such as data location and spread, R&R range method, and GRR data Interpretation, without the need for detailed discussion of statistics.

Delegates will complete the course with a knowledge of the methodologies for performance of measurement systems studies with respect to bias, linearity and stability.

MSA is a core component of the Six Sigma approach and IATF 16949, making this course valuable for a range of individuals, including:

  • quality professionals, Six Sigma change agents, Lean practitioners and support staff who require a basic understanding of measurement system evaluation techniques and the potential benefits of understanding measurement system limitations
  • personnel with responsibility for design/process engineering who require MSA studies to help them specify tolerances, production processes and acceptance criteria, and need to understand the information when it is presented
  • those who are required to support MSA studies, but are not directly responsible for the analysis
  • in-house experts who need to plan and execute MSA studies and will become the champions for the appropriate use of MSA to drive continuous improvement and influence senior management

Additional core tools courses include Introduction to APQP and PPAP, Failure Mode and Effects Analysis (FMEA), and Statistical Process Control (SPC).

Book any 2 of these Core Tool training courses and you will receive a discount of £100.

Book our 4-day Core Tools Package training course, providing training on all 5 Core Tools, and save £605 + VAT against the cost of booking the courses separately.

Topics covered by the course include:

  • concepts of MSA
  • measurement system elements and their contribution to measurement variation
  • terminology and concepts (bias, linearity, stability, repeatability and reproducibility)
  • the existence and measurement of variation
  • variation
  • normal distribution
  • accuracy and precision
  • measures of variation (mean, standard deviation and variance)
  • MSA studies
  • bias (overview and methodology)
  • linearity (overview and methodology)
  • stability studies (overview and methodology)
  • measurement uncertainty (overview)
  • measurement system analysis and studies (variable and attribute)
  • repeatability and reproducibility
  • performance of a gauge R&R study
  • interpretation and use of study data (from example data provided)
  • use of data for cost saving (calibration intervals, number of measurements taken etc.)

By the end of this Measurement Systems Analysis – MSA training course, delegates will be able to:

  • use MSA to determine the suitability of measurement systems
  • perform a repeatability and reproducibility (R&R) study
  • interpret the results in the context of the process variation and product acceptance criteria
  • use the data to improve the effectiveness of the measurement system

Delegates who attend and fully participate in the course will receive a certificate of completion, evidencing their new understanding of measurement systems analysis.

Measurement Systems Analysis Certificate