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Measurement Systems Analysis |
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1 Day |
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Course Description and Audience:
Course is deigned for Engineers, Scientists and Managers who have direct responsibility
for measurement evaluation, selection, and control. 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 .
Prerequisites: ESDA is recommended |
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Detailed Course Outline:
Section I Introduction to MSA
MSA is a key to systematic product development
Background statistical principles
Sources of error
Focus on the measurement process
Section II Terms and Definitions
Repeatability
Reproducibility
Accuracy
Linearity
Stability
Section III R&R, Linearity, & Accuracy
2 factor crossed design for Variables MSA
Repeatability & Reproducibility
R&R and Capability Example
Accuracy example
Linearity example
Section IV Correlation, Calibration and Compensation
Correlation and compensation
Soft compensation versus standard calibration
Scatterplot Method
Problems with r2
Section V SPC for Measurement Control
Selection and utilization of Standards
SPC for Measurement Control
SPC using stable standards
SPC using unstable standards
Section VI MSA for Attributes
Operational Definitions
Effectiveness, P(miss), P(false alarm)
Kappa, escape rate and bias
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