Measurement System Analysis aligned with AS13100 – Smallpeice Enterprises

Measurement System Analysis aligned with AS13100

Overview

Measurement Systems Analysis (MSA) is an experimental technique used in the workplace to support improvement by evaluating and determining how much error there is within a measurement system. The AS13100 standard stipulates the requirements to establish an acceptable measurement system for use on aerospace parts and assemblies. MSA is critical to ensuring process control and quality, and is an essential foundation for process improvement. This practical workshop demonstrates how to assess the performance of new and existing measurement systems and highlights how to introduce improvements when necessary.

Participants will learn how to ensure that measurement systems deliver on the key requirements to ensure reliable process control data, and reliably distinguish good parts from bad parts.

Course objectives:

Demonstrate the importance of MSA within a Zero Defects improvement programme
Understand how to conduct a Measurement System Analysis for Continuous and Attribute data
Show how to interpret the results of measurement studies to make improvements
Discuss the organisational challenges in performing measurement studies and how to overcome

Course Content

Introduction to Measurement System Analysis (MSA)

What MSA is and why it is important to Zero Defects?
Types of measurement studies available
Organisational and competence requirements studies

Elements to Consider When Conducting an MSA

Pre-requisites for conducting the study
Considerations for planning the study
Linking MSA to additional quality tool (FMEA, Control Plans, Process Control, 8D)

Measurement Variation / Continuous Data Studies

Types of data and statistical Concepts of MSA
Checking the equipment resolution / Accuracy ratio

Continuous Data Studies – Gauge R&R

Objectives of the study
Definition of repeatability and reproducibility
Running the Gauge R&R study
Actions for improvement

Continuous Data Studies – Type 1 Studies

Objectives of the study / Running the study
How to interpret the results and actions for improvement

Continuous Data Studies – Additional Studies

Linearity Studies; Stability studies; Determining Bias

Continuous Data Studies – Co-Ordinate Measuring Machines

Special requirements for CMM measurements
Running the study and interpreting the results

Destructive Measurement Systems

Attribute Data Studies

Introduction to attribute MSA
Human factors influencing attribute
Uses for attribute studies
Setting up the study
Interpreting the results
Case studies & examples

In-company

Duration:

12 hours

Ideal for group training

Customised per company

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