Measurement Systems Analysis 1 day
Course Description and Audience:
Course is designed 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.
On-Site Course
Currently Available
To request this course for on-site training, please click here.
Public Course
Currently Unavailable
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Course Objectives:
As a result of the course the participant will be able to:
1. Determine gage capability.
2. Assess accuracy, linearity, stability, repeatability and reproducibility in test equipment.
3. Design and deploy SPC for measurement control.
4. Select and establish standards.
5. Describe proper methods for instrument calibration and compensation.
6. Conduct gage capability for inspection activities.
7. Discuss how MSA impacts customer satisfaction.
Software:
JMP or Minitab and Excel
Prerequisites:
ESDA is suggested.
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, and 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