What you'll learn

An

Overview

of the major sources of measurement error
Explanations of Linearity, Stability, and Bias
MSA

Requirements

found in quality management system standards
A "light dive" into descriptive statistics ... just the tools you need for GR&R with nothing else
How to combine normal distributions
Repeatability, How is it defined and measure?
Reproducibility, How is it defined and measure?
Calculating Gage R&R as an absolute value, and as a percentage of Total Variation
Precision to Tolerance (P/T) Ratio
Equipment Variation (EV), Appraiser Variation (AV), Part Variation (PV) and Total Variation (TV)
Number of Distinct Categories (NDC)
The 10 x 3 x 3 Gage R&R Study
Flexing Your Input Parameters: Number of Parts, Appraisers, and Trials
Calculating K Factors
Gage Troubleshooting Guidelines
Problems with the AIAG Method

Requirements

Basic understanding of Microsoft Excel
Basic understanding of statistics
Basic understanding of manufacturing and measurement

Description

Accurately assessing gage variation is a critical skill for quality and test lab professionals, manufacturing and industrial engineers, and equipment and gage manufacturers. Whether you're tackling issues in repeatability and reproducibility or looking to enhance your process controls, this course provides the perfect blend of theory and practice to master Gage R&R.Taught by a 30+ year manufacturing professional, this course empowers you to design, conduct, and analyze Gage R&R studies with confidence. You'll explore both the fundamental concepts and the hands-on application of statistical techniques—all within the familiar context of Microsoft Excel.What You'll Get:Lifetime access to the course and downloadable Excel templates.Q&A access to the instructor through the Udemy platform for personalized support.A glossary of essential terms and troubleshooting guidelines for future reference.Major Topics Covered:The theory and practice behind Gage R&R, including repeatability and reproducibility.How Gage R&R is related to Measurement Systems Analysis (MSA).How Gage R&R is specified within quality management systems like VDA and IATF-16949.A foundation of the statistical tools and techniques needed for Gage R&R analysis.Average & Range method with step-by-step demonstrations.Key metrics: Equipment Variation (EV), Appraiser Variation (AV), Total Variation (TV), Precision-to-Tolerance (P/T) ratio, and Number of Distinct Categories (NDC).Troubleshooting unacceptable gage performance.Real-world applications with downloadable Excel templates for quick implementation.This course is designed for quality engineers and test lab professionals aiming to refine their expertise in measurement system analysis. By the end of the course, you'll have the skills to confidently assess gage systems, improve measurement accuracy, and enhance overall process quality.Join now to gain critical insights and advance your quality engineering career!

Overview

Section 1: Introduction
Lecture 1 Introduction
Lecture 0 Glossary of Terminology
Lecture 2 Understanding Measurement Variation
Lecture 3 Quality System Standards
Lecture 4 Accuracy vs Precision
Lecture 5 Types of Measurement System Error, Pt 1
Lecture 6 Types of Measurement System Error, Pt 2
Lecture 7 Opening Comments on Statistical Tools
Lecture 8 The Normal Distribution
Lecture 9 Measures of Central Tendency
Lecture 10 Measures of Dispersion, Pt 1
Lecture 11 Measures of Dispersion, Pt 2
Lecture 12 Distribution Nomenclature
Lecture 13 Combining Normal Distributions
Lecture 14 Case Study #1, Repeatability
Lecture 15 Repeatability Error Measurement, Pt 1
Lecture 16 Repeatability Error Measurement, Pt 2
Lecture 17 Repeatability Error Measurement, Pt 3
Lecture 18 Case Study #2, Gage R&R
Lecture 19 Randomization Tables
Lecture 20 Summarizing the Measurement Data
Lecture 21 The 10 x 3 x 3 Study
Lecture 22 Calculating EV
Lecture 23 Calculating AV
Lecture 24 Calculating GR&R
Lecture 25 Precision-to-Tolerance Ratio
Lecture 26 Understanding Total Variation
Lecture 27 Understanding Part Variation
Lecture 28 Calculating Total Variation
Lecture 29 Number of Distinct Categories (NDC)
Lecture 30 GRR as a % of TV
Lecture 31 Flexing Your Input Parameters, Pt 1
Lecture 32 Calculating K Constants
Lecture 33 Flexing Your Input Parameters, Pt 2
Lecture 0 Gage Troubleshooting Guidelines, Pt 1
Lecture 0 Gage Troubleshooting Guidelines, Pt 2
Lecture 34 Next Steps
Lecture 35 Problems with AIAG Method
Lecture 36 Conclusion to the Course
Lecture 0 Bonus Lecture
Quality engineers, Quality technicians, Quality managers,Industrial engineers, Machine manufacturers, Manufacturing engineers, Gage designers,Laboratory technicians, Laboratory managers, Calibration technicians


Homepage:

https://www.udemy.com/course/gage-rr-simplified-essential-tools-for-quality-engineers/