Training Information
The Measurement System Analysis (MSA) training course qualifies you to identify the capability of measuring systems using a variety of techniques. Before conclusions can be drawn on the basis of measured data, it must be ensured that the measuring systems used are also capable and suitable.
The use of suitable and capable measuring systems is therefore the basis for a necessary confidence in the accuracy of the measurement results and the decisions based thereon. Take advantage of our experience and expertise to provide you with practical information about the various methods for measuring system analysis (MSA).
Use:
After attending the seminar …
- you understand the necessity and the practical application of a measuring system analysis (MSA)
- you can prepare, perform and interpret a measurement system analysis (MSA)
- you know and understand the key figures for the assessment of measuring system analyzes
Participants:
Employees, specialists and executives from production and service companies who deal with the analysis of measuring systems
Training contents:
Theory:
- Introduction, background and purpose of a measuring system analysis
- Requirements for an MSA and procedure for continuous measured quantities
- Statistical analysis of the repeatability, reproducibility and overall dispersion of a measuring system (ANOVA and R method)
- Analysis of attributive measurement systems (Kappa Fleiss), Analytical attributive analysis
- Capability indices for measurement systems, as well as linearity and bias analysis
Development of a roadmap for later orientation
Practice:
- Consistent case study
- Various examples for the measurement of continuous and attributively discrete features
- Processing of real working examples from your company (exemplary)




Thomas Solecki has been a certified Six Sigma Black Belt since 2003 and has completed an apprenticeship within Lean Project Implementation. Many years of professional experience in the automotive industry as a project manager and an expert in methods – with a focus on Six Sigma and Lean – shaped his sense of process optimization. His industry expertise comprises of automotive industry as well as the electronic industry.
Dipl. Eng. Gebhard Mayer has very intensive and longterm experiences in the Management of R&D, production, Quality and also Engineering.