Measurement System Analysis (MSA) for Quality / Operations

Set-up , Perform and Analyze Measurement System Analysis | Discrete Gage R&R, ANOVA GRR, Kappa method GRR

Ratings: 4.48 / 5.00




Description

We all know 'Garbage-In is Garbage-Out'. Thus without out good measurement system, any data we collect and actions we take are likely to be futile.

Measurement System Analysis aka MSA or Gage R&R  is an evaluation of any measurement procedure. The outcome of the MSA is to either accept any measurement system as valid and use it for taking measurements, reject it or recommend changes to improve the accuracy and precision of the measurement system. It seems to do this by mainly identifying the components of variation in that measurement process.

MSA is an important milestone before data collection for either production purposes, acceptance of any measurement system or gage or before any process improvement.

In this course you will learn:

  1. Appreciate the purpose and importance of Measurement System Analysis in Metrology

  2. Measures/Metrics used to evaluate the any Measurement System

  3. Setup, Perform, Analyze and Interpret Gage R&R studies

  4. Detailed Case Study with hands-on data for Discrete Gage R&R, ANOVA method Gage R&R and Kappa Method Gage R&R

  5. Detailed step-by-step instructions on performing MSA using Minitab


You will find this course useful, if you are:

  • Quality Engineers and Managers

  • Manufacturing Professionals

  • Engineering Students

  • Process Improvement Professionals from TQM, Lean, Six Sigma, Agile, etc

  • Lean Six Sigma Green Belt / Lean Six Sigma Black Belt


What You Will Learn!

  • Appreciate the purpose and importance of Measurement System Analysis in Metrology
  • Measures/Metrics used to evaluate any Measurement System
  • Setup, Perform, Analyze and Interpret Gage R&R studies
  • Detailed Case Study with handson data for Discrete Gage R&R, ANOVA method Gage R&R and Kappa Method Gage R&R
  • Detailed step-by-step instructions on performing MSA using Minitab

Who Should Attend!

  • Quality Engineers and Managers
  • Manufacturing Professionals
  • Engineering Students
  • Process Improvement Professionals from TQM, Lean, Six Sigma, Agile, etc
  • Lean Six Sigma Green Belt / Lean Six Sigma Black Belt