Measurement Systems Analysis
This program provides a fundamental and practical review of Measurement Systems Analysis. MSA is an excellent quality tool to use with any quality system and has direct application to ISO/IATF 16949. This course is recommended for anyone involved in quality planning or involved in the implementation of ISO/IATF 16949 and third-party auditors.
Measurement Systems Analysis
In this training, attendees will discover the amounts and types of variations that exist in measurement systems, to ensure that product acceptance or process control decisions are based on “good data.” Students will learn how to conduct studies to evaluate variability due to bias, repeatability, reproducibility, stability, and linearity.
Course Objectives
- Understand the fundamentals of Measurement Systems Analysis (MSA)
- Learn how MSA applies to quality systems, including ISO/IATF 16949
- Develop skills to evaluate and improve measurement system accuracy and reliability
- Gain practical knowledge for quality planning and implementation
- Enhance expertise for third-party auditors and compliance professionals
Target Objectives
- Quality/Metrology Managers
- Laboratory and Technical Personnel
- Design Engineers
- Manufacturing Engineers
- Process Engineers
- Quality Engineers
- Test Engineers
- Calibration and Maintenance Personnel
- Environmental Laboratory Managers
- SPC Coordinators and Suppliers
Agenda
- Introduction, Purpose and Terminology
- The Measurement Process
- The Effects of Measurement System Variability
- Measurement Strategy and Planning
- Measurement Source Development
- Gage Source Selection Process
- Measurement Issues
- Measurement Uncertainty
- Measurement Problem Analysis
- General Concepts for Assessing Measurement Systems
- Selecting/Developing Test Procedures
- Preparation for a Measurement System Study
- Analysis of the Results Acceptability Criteria
- Recommended Practices for Simple Measurement Systems
- Example Test Procedures
- Variable Measurement System Study Guidelines
- Average and Range Method
- Attribute Measurement Systems Study
- Practices for Complex or Non-Replicable Measurement Systems
- Stability Studies
- Variability Studies
- Recognizing the Effect of Excessive Within-Part Variation
- Average and Range Method Additional Treatment
- Gage Performance Curve
- Reducing Variation Through Multiple Readings
- Pooled Standard Deviation Approach to GRR
Course Delivery
- In-Person Training
- Online Self-Paced
- Training for Teams
- Virtual Live Training
Prerequisites
- Attendees should be familiar with measurement concepts and gages.
- A basic knowledge of statistics will be beneficial.
