Measurement System Analysis (MSA) Expert- Basics to Advanced
Learn the basics of Measurement System Analysis (MSA) and how it impacts product quality. Understand concepts like accuracy, precision, and repeatability. Gain insights into conducting Gage Studies and interpreting results. Suitable for quality managers, engineers, and production managers.
What you’ll learn
- Basics of the Measurement System Analysis (MSA)
- Measurements of Accuracy and Precision
- The Effect of Poor Measurement System on the Product Quality
- Type 1 Gage Study – How to Perform and Interpret the Results of this Study?
- Run Chart – Using Run Chart to Get a Visual Understanding of the Measurement System
- Gage Repeatability and Reproducibility Studies (Crossed and Nested) – Understand Clearly Each and Every Number and Graph in the Output
- Attribute Agreement Analysis for Discrete Data – Clear Understanding of All Reports and Plots, Including Kappa Value and Kendall’s Coefficient of Concordance
Note: Students who complete this course have an option to apply for the certification exam by Quality Gurus Inc. and can achieve the Verified Certification from Quality Gurus Inc. It is optional and there is no separate fee for that.
Before you start taking measurements to ensure the quality of a product or a service, you need to make sure that you have a good measurement system in place. The data collected using a bad measurement system will lead you to the wrong conclusions.
In this course, you will learn about Measurement System Analysis (MSA) starting from the basics.
The course starts with the basic concepts related to measurement and measurement systems.
In this you will learn:
The effect of measurement system variation of the quality
Two categories of Measurement System Analysis: Gage Repeatability/Reproducibility (for numeric data) and Attribute Agreement Analysis (for discrete data)
Resolution and discrimination
Accuracy and precision
Measurements of accuracy: Bias, Linearity and Stability
Measurements of precision: Repeatability and Reproducibility
Type 1 Gage Study – Conditions for conducting, Minitab Example, Basic Statistics, Bias, Capability (Cg and Cgk), Percent Variation. In addition to the interpretation of the results, this section will also explain some basic concepts such as Hypothesis Testing and Process Capability.
Run Chart – This will show the results of gage study in an easy-to-understand graphical format.
Linearity and Bias Study
Gage Repeatability and Reproducibility (GRR) – Crossed – Range Method, Average and Range Method, ANOVA Method, Number of Distinct Categories (NDC). In addition to interpreting the results of the Crossed GRR Study, this section also covers a lecture to explain the basics of ANOVA.
Gage Repeatability and Reproducibility (GRR) – Nested – For destructive tests.
Attribute Agreement Analysis – for Nominal and Ordinal Data, Kappa Value and Kendall’s Coefficient of Concordance (KCC)
Who this course is for:
- Quality Managers
- Quality Engineers
- Production Managers
- Anyone involved in the measurement process
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