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Course Description and Audience:
Measurement Systems Analysis is designed for Engineers, Scientists and Managers
who have direct responsibility for measurement evaluation, selection and control.
This course covers the basic concepts associated with measurement systems analysis,
repeatability, reproducibility, accuracy, linearity, stability, standards selection and use,
calibration and compensation and measurement control.
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Course Objectives:
Upon completion of the course the participants will be able to:
- Determine gage capability.
- Assess accuracy, linearity, stability, repeatability and reproducibility
in test equipment.
- Design and deploy SPC for measurement control.
- Select and establish standards.
- Describe proper methods for instrument calibration and compensation.
- Conduct gage capability for inspection activities.
- Discuss how MSA impacts customer satisfaction.
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Software: JMP, Microsoft Excel
Prerequisites: None |
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Detailed Course Outline:
Introduction to MSA
MSA is a key to systematic product development
Background statistical principles
Sources of error
Focus on the measurement process
Terms and Definitions
Repeatability
Reproducibility
Accuracy
Linearity
Stability
R&R, Linearity, & Accuracy
2 factor crossed design for Variables MSA
Repeatability & Reproducibility
R&R and Capability Example
Accuracy example
Linearity example
Correlation, Calibration and Compensation
Correlation and compensation
Soft compensation versus standard calibration
Scatterplot Method
Problems with r2
SPC for Measurement Control
Selection and utilization of Standards
SPC for Measurement Control
SPC using stable standards
SPC using unstable standards
MSA for Attributes
Operational Definitions
Effectiveness, P(miss), P(false alarm)
Kappa, escape rate and bias
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