Manufacturing Operations
Measurement System Analysis MSA
Duration (Days)
3
Overview
This course is designed to help participants assess, monitor and reduce measurement system variateion. The system consis of five major characteristics of variation : bias, stability, linearity, repeatability and reproducibility. Through the program participation will be able to learn how to detect meaningful differences in process variables.
Objectives
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Apply measurement system analysis to prevent special and common causes of variation in processes.
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Understand the basic rules of measurement system analysis and use for various process parameters.
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Perform GR&R analysis study.
Course Outline
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Measurement theory
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Systematic error and random error
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Measurement methods and measurement procedures
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Location and variation
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Sensitivity and readability
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Measurement accuracy
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Calibration , testing , standards and environment controls
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Measurement traceability
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Calibration methods
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Method validation
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Proficiency testing
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Measurement assurance programs
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Basic statistical use in MSA
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Application of measurement
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Measurement error
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Risks associated with statistical decision making
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Uses of measurement
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Measurement and tolerances
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Measurement system parameters
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Gauge stability, bias , linearity, repeatability, reproducibility
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Accuracy bias analysis
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Precision analysis
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GR&R study
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Gauge repeatability and reproducibility study for attributes data