BO 203

BO 203 – Measurement System Analysis (MSA) and Variation Reduction – 2 days

Introduction :
The ability of measuring equipment to obtain reliable results directly influences the efficiency of quality control and data collection activities. Therefore, the ability of measuring equipment to obtain repeatable, reproducible and accurate measurements should be assessed prior to data collection in order to minimize the risk of making wrong decision that can bring disaster to company business.

This course covers the basic concepts associated with Measurement Systems Analysis (MSA) and variation reduction. Topics include the assessment of repeat¬ability, reproducibility, Gage R&R, bias, linearity, stability, inspection effectiveness, standards selection and use, calibration, compensation, measurement improve¬ment and control.

Learn how to:
Use variability charts, ANOVA and Xbar and R method to quantify components of variation
Create and evaluate gage repeatability and reproducibility (gage R&R) studies
Create and evaluate a measurement systems analysis for variables and attribute data

Training Approach
This practical course combines classroom teaching, practical exercises, and group discussion with actual factory based projects to provide a complete action learning experience. The course has been designed to enable all participants leave the training room with a set of new knowledge, tools, skills and direct experience of how to use JMP software to perform measurement system analysis in a real company setting.

Prerequisite: Statistical Data Analysis Through JMP software
Training facilities: Computer installed with JMP Software and LCD projector

Course contents :
Section 1 : Introduction to Measurement System Analysis (MSA)
Basic understanding on measurement system.
Reasons to carry out MSA
Basic understanding on terminology such as bias, stability, repeatability, reproducibility and linearity
Source of variation for measuring equipment
Calibration vs GR&R study

Section 2 : Bias and Linearity Study
Concepts and importance of linearity study
Methodology for linearity study
Practical hands-on linearity study through JMP
Interpretation of results.
How to deal with linearity problems.
Practical linearity study assignment

Section 3 : GR&R Study for Variable Data
Steps to conduct variable GR&R study by using various methods (graphically and mathematically) such as range method, average & range method and ANOVA method.
Crossed and Nested method
Practical hands-on variable GR&R study through JMP software
Interpretation of graphical and numerical analysis results
Importance of number of distinct category (ndc)
Typical mistakes
Identify necessary improvement actions
Practical hands-on assignment

Section 4 : GR&R Study for Attribute Data
Steps to conduct attribute GR&R study
Attribute agreement analysis
Practical hands-on attribute GR&R study through JMP software
Kappa statistics
nterpretation of graphical and numerical analysis results
Identify necessary improvement actions
Practical hands-on assignment

Section 5 : Stability Study
Concepts and importance of stability study
Methodology for stability study
Practical hands-on stability study through JMP
Interpretation of results.
how to deal with stability problems.
Practical stability study assignment

Who should attend: Engineers, executive, supervisors, managers and six sigma practitioners who have direct responsi¬bility for measurement evaluation, selec¬tion and control

Delivery: Classroom lecture, hands-on practice, simulation game, assignments and case studies.

Duration: 2 days (9am – 5pm)

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