Business Excellence Consortium
Measurement Systems Analysis
| Details |
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This course has not been scheduled. Please contact the BEC for more information.
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| Individual Price |
| BEC Member: |
$295 |
| Non-Member: |
$395 |
| Organization Price |
| BEC Member: |
$1,800 per day ** |
| Non-Member: |
$2,400 per day ** |
| ** Responsible for facilitator's expenses, including travel, lodging and food. |
| Books & Materials |
| Quality Training Manual | $25 |
The BEC is offering a one-day session in Measurement Systems Analysis (MSA). Participants gain basic understanding of measurement and gauging systems. Anyone responsible for calibrating, using, evaluating or caring for measuring instruments and measuring systems should attend. A fundamental understanding of basic statistical methods, although beneficial, is not a prerequisite. This session is based on the Automotive Industry Action Group (AIAG) – Measurement Systems Analysis (MSA) Manual.
Content:
- ANOVA (Analysis of Variance) – advantages, disadvantages and interpretations
- Categories of measurement error
- Factor of 10 Rules – Defining discrimination and resolution
- General guidelines and terminology for measurement system analysis
- Introduction to standard forms used for MSA evaluations
- ISO/TS 16949:2002 and ISO 9001:2000 gaging requirements
- Measurement system variation: stability, bias, repeatability, reproducibility, part-to-part variation, and linearity
- Methods for attribute gage analysis: short and long method
- Setting up and maintaining a calibration system
- Setting up and performing measurement system studies to determine stability, bias and linearity
Upon completion, you will be able to:
- Evaluate gage stability, bias and linearity
- Perform a GR&R study utilizing various analysis methods
- Provide input to the APQP process to ensure GD&T Datums are coordinated, or made equal, throughout the manufacturing process and throughout the measurement process
- Understand consequences and causes of measurement system error
- Understand the basic principles of measurement system evaluation
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