JMP Software: Measurement Systems Analysis and Variation Reduction
This course covers the basic concepts associated with Measurement Systems Analysis (MSA) and variability reduction. Topics include the assessment of repeatability, reproducibility, Gage R&R, bias, linearity, stability, inspection effectiveness, standards selection and use, calibration, compensation, measurement improvement, and control.
Learn how to
- use variability charts, ANOVA, and REML to quantify components of variation
- create and evaluate gage repeatability and reproducibility (Gage R&R) studies
- create and evaluate a measurement systems analysis for attribute data.
Who should attend
Engineers, scientists, and managers who have direct responsibility for measurement evaluation, selection, and control
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Prerequisites
Before attending this course, you should have completed the
JMP Software: Statistical Data Exploration course. Other suggested courses include
JMP Software: ANOVA and Regression and
JMP Software: Classic Design of Experiments However, they are not required.
Course Contents
Introduction to Measurement Systems Analysis (MSA)
- MSA introduction
- MSA terms and definitions
Variation Identification and Reduction
- analysis of variance (ANOVA)
- variability chart and variance components analysis
- restricted maximum likelihood (REML)
- surface variation (contour and surface plots)
Variables Gage Studies
- evaluating gage repeatability and reproducibility (Gage R&R)
- evaluating bias and linearity
- correlation and statistical process control (SPC) for gages
- destructive and nested gage studies
Attributes MSA Studies
- MSA for attribute definitions
- MSA for defective data
- tests of significance and Kappa
Software
This course addresses JMP.
Course Materials
Students receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.
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Course fee and EPTO units will differ for on-site training.
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