JMP Software: Measurement Systems Analysis and Variation Reduction

Duration: 1.0 day CEU: 0.6

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

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 Addressed

This course addresses the following software product(s): 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.

Registration

To register for this course in the US, call 800-333-7660 or visit support.sas.com/training. This course is also available for on-site training, or you can create a custom course by combining material from several courses. For more details, contact SAS Education in Cary, NC at 919-531-7321 or send e-mail to training@sas.com.