Objective

The participant will know the different studies carried out on variable data and attribute data measurement systems, will be able to apply statistical methods for its analysis and interpretation, and will recognize the importance of having reliable measurement systems.

Participant’s Profile

Professionals from engineering, quality, metrology and production areas, as well as all personnel involved in the use of measurement systems for decision making.

MSA Measurement System Analysis (4th Edition)

Introduction

  • Importance of MSA.
  • Relation to IATF16949:2016.
  • When is an MSA Study required?
  • Who is responsible for MSA Studies?

Concepts and definitions. 

Basis Statistics. 

Resolution.

  • Required resolution calculation.
  • Selection of the measuring instrument.

Variation in measuremnt systems. 

  • Effects on the measurement of products.
  • Effects on the measuremnts of processes.

Accuracy and Precision. 

  BIAS Study.

  • Practical exercise.
  • Minitab – BIAS Study.
  • Causes of excessive bias.

Linearity Study. 

  • Practical exercise.
  • Minitab – Linearity Study.
  • Causes for linearity error.

Stability Study. 

  • Practical exercise.
  • Minitab – Control Charts.
  • Causes for linearity error.

Gage R&R Study – Repeatability and Reproducibility

  • Practical exercise.
  • Average and Range Method.
  • ANOVA Method.
  • Minitab – Crossed Gage R&R.
  • Results interpretation.
  • ndc – Number of Distinct Characteristics.
  • Corrective Actions.

Attribute Measurement Systems Study

  • Practical exercise.
  • Kappa index.
  • Crosstabulation.
  • Effectiveness of the measurement system.
  • Miss rate, False Alarm Date.
  • Minitab – Attribute Agreement Analysis.
  • Corrective Actions.