In-company training

AS 13003:2015 specifies requirements to establish acceptable measurement systems (for variable and attribute features) for use on aero engines parts and assemblies.

This AS 13003 training focuses on Measurement Systems Analysis (MSA), a key technique used to evaluate and improve measurement systems in the workplace.

MSA evaluates the test method, measuring instruments, and the entire process of obtaining measurements to ensure the integrity of data and to understand the implications of measurement error for decisions made about a product or process.

This interactive and practical AS 13003 training course will provide delegates with an understanding of the principles of MSA and the methodologies for performance of measurement systems studies with respect to bias, linearity, stability, repeatability and reproducibility as well as techniques for attribute studies. Our course is highly practical and does not require detailed knowledge or discussion of statistics. The course is designed to cover the requirements of SAE International Aerospace Standard AS13003:2015 ‘Measurement Systems Analysis Requirements for the Aero Engine Supply Chain’.
Through the combination of interactive tutorials and workshops, our course will enable the delegates to:

  • Use MSA to determine the suitability of measurement systems.
  • Perform initial system suitability checks and elements to consider in MSA studies
  • Perform Bias and Linearity studies.
  • Perform a Repeatability and Reproducibility (R&R) study using both control chart and ANOVA techniques for variable measurement systems
  • Perform attribute studies
  • Interpret the results in the context of defined acceptance criteria.
  • Use the data to improve the effectiveness of the measurement system.
  • Practical workshops are designed to reinforce the discussions and topics. This style of delivery makes the course both memorable and enjoyable for participants, ensuring long-term learning.

  • 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 – phases, considerations and preparation for the study
  • Bias and linearity (overview and methodology)
  • Repeatability studies (overview and methodology)
  • Measurement system analysis and studies (variable and attribute)
  • Repeatability and Reproducibility
  • Performance of gauge R&R studies
  • Attribute studies
  • Interpretation and use of study data (from example data provided)
  • Using data for cost-saving (calibration intervals, number of measurements taken etc)

  • Quality professionals, 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 should be requiring 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.