What you'll learn:
- Explain the purpose and importance of Measurement Systems Analysis (MSA) in quality and manufacturing environments.
- Describe key MSA concepts including bias, repeatability, reproducibility, stability, and linearity.
- Use Microsoft Excel to analyze measurement data using tools such as the Analysis ToolPak and built-in functions.
- Perform bias analysis and calculate correction factors for measurement systems.
- Evaluate measurement stability over time using control charts and trend analysis.
- Conduct linearity studies to determine if measurement accuracy is consistent across the measurement range.
- Calculate repeatability and reproducibility (R&R) using the Range, Average and Range, and ANOVA methods in Excel.
- Interpret key metrics from R&R studies, including % contribution, number of distinct categories, and total variation.
- Understand and analyze attribute (categorical) measurement systems using cross-tab and agreement tables.
- Identify sources of measurement variation and recommend improvement actions.
- Select appropriate sample sizes and study structures for effective MSA.
- Differentiate between common cause and special cause variation in measurement data.
- Apply best practices for maintaining high-quality, reliable measurement systems.
- Full set of downloadable Excel templates.
Accurate measurements are the foundation of effective decision-making in manufacturing, quality, and engineering. But how do you know your measurements can be trusted?
This hands-on course takes you from the foundations of Measurement Systems Analysis (MSA) through intermediate statistical techniques, using Microsoft Excel as your analytical tool. You’ll learn how to evaluate bias, repeatability, reproducibility, stability, linearity, and attribute agreement using real examples and downloadable Excel templates.
No previous statistics training? No problem. Each concept is broken down in plain language, and all Excel tools—including the Analysis ToolPak—are clearly explained as you go.
You’ll also receive a downloadable glossary of MSA terminology, practice exercises, and ready-to-use Excel templates to help you apply what you’ve learned immediately.
Whether you're improving a measurement process, validating a new gage, or preparing for an audit, this course will give you the tools and practical skills you need to ensure your measurement system is reliable, consistent, and audit-ready.
What you'll learn
Understand the core principles of Measurement Systems Analysis (MSA) and why it's critical to quality and reliability
Evaluate measurement bias, stability, linearity, repeatability, and reproducibility using real-world data
Perform Gage R&R studies using the Range, Average & Range, and ANOVA methods in Microsoft Excel
Use Excel’s Analysis ToolPak and built-in functions to run statistical tests and interpret results confidently
Analyze attribute measurement systems using Cohen's Kappa, Fleiss' Kappa, and the Cross Tab method
Interpret key MSA outputs such as %GRR, number of distinct categories (NDC) and control limits
Identify sources of measurement system variation and take action to improve data quality
Apply statistical decision-making tools in a manufacturing, quality, or engineering context
Course Includes:
4 hours of on-demand video
All Excel templates used in the course
Printable glossary of MSA terms
Practice exercises and worked examples
Certificate of Completion from Udemy
LIFETIMEACCESSto the course contents
Q&Aaccess to industry experts
Who this course is for
This course is designed for professionals responsible for the accuracy and consistency of measurement data, including:
Quality Engineers and Quality Technicians
Manufacturing and Process Engineers
Supplier Quality and Reliability Engineers
Metrology and Calibration Technicians
Lean Six Sigma Belts and Continuous Improvement Professionals
Production Supervisors, Managers, and Analysts who rely on measurement data to make decisions
Whether you're running your first Gage R&R or seeking a more practical approach to MSA, this course gives you the tools and confidence to do it right. Enroll today!
