Measurement System Analysis MSA Expert Basics to Advanced

Measurement System Analysis MSA Expert Basics to Advanced

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

Requirements

No prior knowledge of Measurement System Analysis (MSA) is expected. This topic will be explained from the basics.
Some understanding of statistical concepts will be helpful. However a high level overview of concepts such as Descriptive Statistics, Process Capability, Hypothesis Testing and ANOVA is included in this course.

Description

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 qualityTwo categories of Measurement System Analysis: Gage Repeatability/Reproducibility (for numeric data) and Attribute Agreement Analysis (for discrete data)Resolution and discriminationAccuracy and precisionMeasurements of accuracy: Bias, Linearity and StabilityMeasurements of precision: Repeatability and ReproducibilityType 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 StudyGage 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)

Overview

Section 1: Introduction

Lecture 1 Welcome to the Course

Lecture 2 Introduction

Lecture 3 Download Course Slides

Lecture 4 The Effect of Measurement Variation

Lecture 5 Two Categories of MSA

Section 2: Basic Concepts

Lecture 6 True vs. Reference Value

Lecture 7 Resolution or Discrimination

Lecture 8 Accuracy vs. Precision

Section 3: Accuracy

Lecture 9 Measurement Accuracy vs. Precision

Lecture 10 Bias

Lecture 11 Linearity

Lecture 12 Stability

Lecture 13 Accuracy – Conclusion

Section 4: Precision

Lecture 14 Precision – Repeatability

Lecture 15 Precision – Reproducibility

Lecture 16 Normal Distribution – An Overview

Lecture 17 Gage R and R

Lecture 18 Measurement Variation

Lecture 19 Precision to Tolerance Ratio (PTR)

Section 5: Type 1 Gage Study

Lecture 20 Recap – Measurement System Analysis

Lecture 21 Type 1 Gage Study – Introduction

Lecture 22 Type 1 Gage Study – Conditions

Lecture 23 Type 1 Gage Study – Minitab Demonstration

Lecture 24 Descriptive Statistics

Lecture 25 Bias

Lecture 26 Is the Bias Significant? t-Test

Lecture 27 Process Capability – Part 1

Lecture 28 Process Capability – Part 2

Lecture 29 Process Capability – Part 3

Lecture 30 Gage Capability – Part 1

Lecture 31 Gage Capability – Part 2

Lecture 32 Gage Percent Var

Section 6: Run Chart

Lecture 33 Run Chart – Introduction

Lecture 34 Run Chart Using Minitab

Lecture 35 Run Chart – Interpretation

Lecture 36 Within and Between Variation

Section 7: Linearity and Bias Study

Lecture 37 Linearity and Bias Study – Introduction

Lecture 38 Linearity and Bias Study – Minitab

Lecture 39 Interpretation Part 1 – Linearity and Bias Study

Lecture 40 Interpretation Part 2 – Linearity and Bias Study

Section 8: Gage R&R Study (Crossed)

Lecture 41 GRR Study – Introduction

Lecture 42 GRR Study – Range Method

Lecture 43 GRR Study – Average and Range Method

Lecture 44 Minitab for Average and Range Method

Lecture 45 Excel for Average and Range Method

Lecture 46 ANOVA – Part 1 Interpretation

Lecture 47 ANOVA – Part 2 Interpretation

Lecture 48 ANOVA – Part 3 Interpretation

Lecture 49 ANOVA – Part 4 Interpretation

Lecture 50 ANOVA – Part 5 Interpretation

Lecture 51 Understanding ANOVA

Lecture 52 NDC – Number of Distinct Categories

Lecture 53 Conclusion

Section 9: Nested GRR

Lecture 54 Nested GRR – Introduction

Lecture 55 Nested GRR – Minitab

Lecture 56 Understanding Box & Whisker and Scatter Plots

Lecture 57 Nested GRR Interpretation – Part 1

Lecture 58 Nested GRR Interpretation – Part 2

Lecture 59 Nested GRR Interpretation – Part 3

Lecture 60 Nested GRR Interpretation – Part 4

Section 10: Attribute Agreement Analysis

Lecture 61 Attribute Agreement Analysis – Introduction

Lecture 62 Attribute Agreement Analysis – Minitab Demonstration

Lecture 63 AAA – Agreement Within Themselves (Consistency)

Lecture 64 AAA – Agreement with Standard (Correctness)

Lecture 65 AAA – Agreement with Each Other

Lecture 66 AAA – All Operators vs. Standard

Lecture 67 Consistency and Correctness Plots

Lecture 68 What is Kappa Value?

Lecture 69 What is Kandall’s Coefficient of Concordance?

Lecture 70 Kappa and Kandall’s Coefficient for Consistency

Lecture 71 Kappa and Kandall’s Coefficient for Correctness

Lecture 72 Kappa and Kandall’s Coefficient – Amongst Themselves

Section 11: BONUS

Lecture 73 BONUS LECTURE

Quality Managers,Quality Engineers,Production Managers,Anyone involved in the measurement process

Course Information:

Udemy | English | 6h 23m | 2.35 GB
Created by: Sandeep Kumar, ­ Quality Gurus Inc.

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