Hope is not a strategy ? show me the data! If we cannot express what we know about our process using numbers, it means that indeed we do not know much. If we know not much we cannot control the process. If we do not have control we can only hope, that our suspicions are valid. Precise measurements are the fundamentals of fact-based management which is the only way to achieve continuous improvement of processes and products.

This training shows the importance of the Measurement System. We teach how to check the adequacy of the Measurement System in order to be sure that data which are delivered can be used in business management and the decisions making process.

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Expected Training Results

After this training participants will be skilled in:

  • Collecting data needed to perform measurement system evaluation
  • Evaluating the Measurement System for continuous data and analysing collected data in a Practical, Graphical and Quantitative way
  • Evaluating the Measurement System for attribute and discrete data (ok/n.ok)
  • Evaluating the Measurement System for visual assessment
  • Conducting all necessary analysis by themselves
  • Process Engineers
  • Quality Engineers
  • Technologists
  • Leaders

Training Plan


Introduction to Variation (basic concepts and statistics)lecture
Quincounx: practical exercise that shows why the distinction between common and special cause variation is so importantpractical exercise
Measurements are the process ? Process Map as main driver for designing data collection planslecture
Introduction to Sampling: dual level sampling trees, construction and data analysislecture + practical exercise
Measurement System Evaluation for continuous data using already learned SPC toolslecture + practical exercise + Minitab
Hands-on ? practical exercise: participants conduct analysis of their own MSE and subsequently introduce improvements if neededpractical exercise


Gage R&R: construction and analysislecture + comparison with MSA + examples
Three practical exercises: participants progress through practical examples, from simple to more complex onespractical exercise
Measurement System Evaluation for alternative data (ok. / nok) ? Kappa methodlecture + case study
Measurement System Evaluation for scale type measurements ? ICC methodlecture + case study
Measurement System Evaluation for visual inspectionlecture + case study
Hands-on: practical exercises ? participants conduct and analyse full measurement system evaluation for alternative data type ok/n.okpractical exercise