MEASUREMENT SYSTEM ANALYSIS (MSA) GAUGE REPEATIABILITY & REPRODUCIBILITY (GR&R)
“Ensuring Data Accuracy and Process Control Through Measurement System Validation”
Course Schedule
| Date | Venue | Fees (Face-to-Face) |
|---|---|---|
| 30 – 31 Jan 2025 | Kuala Lumpur, Malaysia | USD 1995 per delegate |
Course Introduction
In any manufacturing or process environment, decisions are only as good as the data that supports them. Measurement System Analysis (MSA) ensures that the data collected from inspection and testing equipment is accurate, reliable, and repeatable. GR&R (Gauge Repeatability and Reproducibility) studies are the cornerstone of MSA, providing insight into the quality of the measurement process.
This intensive two-day course equips quality professionals, engineers, and lab personnel with the skills to plan, conduct, and interpret GR&R studies. Participants will learn how to evaluate measurement variation, assess gauge suitability, and make data-driven improvements to inspection systems.
Course Objectives
By the end of this course, participants will be able to:
- Understand the principles and importance of MSA in quality systems.
- Conduct Gauge Repeatability & Reproducibility (GR&R) studies.
- Distinguish between repeatability, reproducibility, and other sources of variation.
- Evaluate the adequacy of a measurement system for process control.
- Apply statistical tools to interpret MSA results and improve gauge performance.
- Align MSA activities with IATF 16949 and ISO 9001 quality system requirements.
Key Benefits of Attending
- Improve data integrity in your manufacturing or inspection process.
- Ensure that measurement systems are reliable before using data for quality decisions.
- Avoid costly product or process errors driven by inaccurate measurements.
- Strengthen quality system compliance with industry standards.
- Gain hands-on experience with MSA tools, templates, and case studies.
Intended Audience
This program is designed for:
- Quality engineers and inspectors
- Manufacturing and process engineers
- Lab technicians and metrology staff
- Six Sigma practitioners and SPC analysts
- Quality managers responsible for system validation and audits
Individual Benefits
Key competencies that will be developed include:
- Measurement system evaluation
- GR&R study planning and analysis
- Statistical thinking and data interpretation
- MSA reporting and decision-making
- Quality system compliance and documentation
Organization Benefits
Upon completing the training course, participants will demonstrate:
- Improved reliability of inspection and test data
- Reduced measurement variation and uncertainty
- Stronger control over product quality and compliance
- Enhanced readiness for audits and customer assessments
- More confident process improvement decisions
Instructional Methdology
The course follows a blended learning approach combining theory with practice:
- Concept Briefings – Core statistical concepts and MSA framework
- Case Studies – GR&R challenges and corrective actions
- Excel-Based Tools – GR&R templates, attribute agreement forms, and statistical calculators
- Workshops – Conducting and interpreting MSA experiments
- Peer Discussion – Review of real examples and action planning
- Templates – MSA planning sheets, control plans, and acceptance criteria
Course Outline
Detailed 2-Day Course Outline
Training Hours: 7:30 AM – 3:30 PM
Daily Format: 3–4 Learning Modules | Coffee breaks: 09:30 & 11:15 | Lunch Buffet: 01:00 – 02:00
Day 1: MSA Fundamentals & GR&R Planning
Module 1: Introduction to MSA and Data Integrity (07:30 – 09:30)
- Why measurement system validation matters
- Overview of MSA and the types of studies
- Definitions: accuracy, precision, bias, linearity, stability
Module 2: Planning a GR&R Study (09:45 – 11:15)
- Measurement variation sources
- Designing studies: number of parts, operators, trials
- Choosing the right MSA method (variable vs. attribute)
Module 3: Repeatability and Reproducibility Analysis (11:30 – 01:00)
- Understanding repeatability (equipment variation)
- Understanding reproducibility (operator variation)
- Measurement discrimination and resolution
Module 4: Hands-On Workshop – Designing a GR&R Study (02:00 – 03:30)
- Simulate planning a real-world study and collect mock data
Day 2: Statistical Analysis, Interpretation & Improvement
Module 5: GR&R Study Execution and Data Collection (07:30 – 09:30)
- Conducting studies: data entry and observation tips
- Common errors and best practices
- Real-time calibration check integration
Module 6: Statistical Analysis Using Excel (09:45 – 11:15)
- Using ANOVA and range-based methods
- Key outputs: %GRR, %Contribution, Number of Distinct Categories (NDC)
- Acceptance criteria and interpretation rules
Module 7: Attribute Agreement and Audit Readiness (11:30 – 01:00)
- Non-variable data and subjective inspection
- Attribute agreement analysis (AAA) overview
- Documenting results and responding to audits
Module 8: Final Case Simulation & Action Planning (02:00 – 03:30)
- Teams complete a GR&R scenario and prepare a summary report
- Peer review and instructor feedback
Certification
Participants who complete the program will receive a Certificate of Completion in Measurement System Analysis (MSA) – GR&R, validating their ability to plan, execute, and interpret GR&R studies in line with quality system requirements.