Course Overview
Attribute Gauge Repeatability and Reproducibility (GRR)
This Attribute GRR Training provides a practical understanding of Attribute Gauge Repeatability and Reproducibility (GRR) as part of Measurement System Analysis (MSA). It focuses on evaluating and improving inspection systems that rely on categorical decisions such as pass/fail or accept/reject, ensuring consistent and reliable quality judgments.
Course Objectives
This Attribute GRR Training program is designed to enable participants to understand measurement system evaluation, inspection consistency, and quality decision-making using Attribute GRR methods
Here are the learning objectives for the two days training program; after completing this program, participants will be able to:
Understand the principles of Attribute Measurement Systems and GRR
Learn how to design an effective Attribute GRR study
Perform data collection for attribute inspections
Analyze results using % agreement and Kappa statistics
Interpret GRR results to assess measurement system reliability
Identify sources of variation in inspection processes
Apply improvement methods to enhance inspection consistency
Make informed decisions based on Attribute GRR outcomes
Course Detail
Time: 9.00 a.m. – 5.00 a.m.
Days: 2 days
- Language: English
Who Should Attend
This Attribute GRR Training is suitable for:
Quality engineers and quality inspectors
Manufacturing and process engineers
Continuous improvement practitioners
Auditors (internal and external)
Supervisors responsible for inspection processes
Professionals involved in MSA or quality assurance
Course Content
Module 1: Introduction to Measurement System Analysis (MSA)
What is MSA and why it matters
Impact of measurement error on decisions
Overview of AIAG MSA framework
Types of data: continuous vs discrete
Attribute data examples
Module 2: Attribute Measurement Systems
Human-based inspection systems
Inspection standards and criteria
False accept and false reject errors
Sources of variation in inspection systems
Module 3: Attribute GRR Concepts
Repeatability
Reproducibility
Accuracy vs precision
Effectiveness of inspection systems
% Agreement
Kappa statistics
Confusion matrix
Module 4: Study Design & Data Collection
Selecting parts (good, bad, borderline)
Appraisers and trials selection
Randomization and blinding
Reference/master standard
Data collection methods
Data Collection Simulation
Simulated inspection exercise
Recording inspection results
Module 5: Data Analysis – Attribute Agreement
Within appraiser agreement
Between appraiser agreement
Overall agreement
Agreement vs reference standard
Module 6: Kappa Analysis
Understanding Kappa
Interpreting Kappa values
Limitations of Kappa
Module 7: Computing the Analysis using Excel/Minitab
Running Attribute GRR analysis
Interpreting outputs
Agreement charts and tables
Module 8: Interpretation & Decision Making
Acceptance guidelines
Evaluating measurement system effectiveness
Risk considerations
Module 9: Improvement Strategies
Standardizing inspection criteria
Training inspectors
Visual aids and defect libraries
Error-proofing methods
Moving toward variable measurement
Module 10: Case Study & Wrap-Up
End-to-end case study
Study design, analysis, and improvement
Group discussion and key takeaways
This Attribute GRR Training helps quality professionals improve inspection reliability, reduce measurement variation, and strengthen quality assurance processes.
