Measurement Systems Analysis (MSA)

Course Description

ECM is proud to partner with QC Training Services, Inc to offer this course. 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.” In this 2-day (16 hour) class, attendees will learn how to conduct studies to evaluate variability due to bias, repeatability, reproducibility, stability, and linearity.

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Target Audience

Quality and metrology managers, laboratory and technical personnel, design, manufacturing, process, quality, and test engineers, calibration and maintenance personnel, environmental laboratory managers, inspectors, technicians, SPC coordinators and suppliers. MSA has direct application to ISO/IATF 16949 and this course is recommended for anyone involved in quality planning or involved in the implementation of ISO/IATF 16949 and third-party auditors.

Prerequisites

Attendees should be familiar with Statistical Process Control and statistics.

Course Objectives

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. Reference the complete Course Description and Agenda for additional details.

Benefits

Study concise, efficient methods for planning and preparing a Measurement System Analysis (MSA) and understand process variation and its impact. Gain insight into organizational applications, categories of measurement system variation, and gage repeatability and reproducibility.

Course Outline

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