MEASUREMENT SYSTEM ANALYSIS (MSA 4th Edition)
INTRODUCTION FOR MEASUREMENT SYSTEM ANALYSIS (MSA 4th Edition)
When implementing any statistical method that relies on data, it is important to be sure that the systems that collect that data are both accurate and precise. A set of procedures, often referred to as “Gage Studies”, are widely used to assess the quality of measurement systems. MSA is a necessary methodology for distinguishing between variation within a business process and variation within the measurement system used to collect data from the business process.
OBJECTIVE MEASUREMENT SYSTEM ANALYSIS (MSA 4th Edition)
- Understand what is MSA.
- Understand what is Calibration.
- Understand what is GRR.
- MSA requirements from system standards.
- Statistical properties of measurement systems.
- Basic and effects of measurement system variation.
- Performing measurement system analysis.
- Recommended practices for measurement systems.
Managers, Engineers, Supervisors, Clerical Staff, and staff involved with Calibration and GRR (MSA).
This is a 2 days highly interactive, entertaining and useful course running from 9.00 am to 5.00 pm. Daily.
- Introduction to MSA.
- Objective of MSA.
- Why MSA is required?
- Purpose of MSA.
- Terminologies of measurement system.
- Statistical properties of measurement system.
- Criteria for measurement system design selection.
- ISO/IATF16949 requirements.
- Creating golden and silver sample.
- What is discrimination?
- Accuracy vs precision.
- What is Calibration?
- Calibration consist of Bias, Lineariy and Stability.
- What is Bias?
- Steps to perform Bias.
- Acceptance criteria for Bias.
- Various cases for Bias.
- Causes of large gauge Bias.
- What is Linearity?
- Steps to perform Linearity.
- Linearity acceptance criteria.
- Cases of Linearity.
- Causes for high Gauge Linearity.
- What is Stability?
- Steps to perform Stability.
- Stability acceptance criteria.
- Constitution of total variation.
- What is GRR?
- Repeatability and Reproducibility.
- Range method.
- Range method acceptance criteria.
- Average and range method.
- Steps for conducting the study.
- Acceptance criteria.
- Causes of high Repeatability and Reproducibility.
- Attribute R & R.