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Measurement System Analysis MSA

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
  • Apply measurement system analysis to prevent special and common causes of variation in processes.

  • Understand the basic rules of measurement system analysis and use for various process parameters.

  • Perform GR&R analysis study.

Course Outline
  • Measurement theory

  • Systematic error and random error

  • Measurement methods and measurement procedures

  • Location and variation

  • Sensitivity and readability

  • Measurement accuracy

  • Calibration , testing , standards and environment controls

  • Measurement traceability

  • Calibration methods

  • Method validation

  • Proficiency testing

  • Measurement assurance programs

  • Basic statistical use in MSA

  • Application of measurement

  • Measurement error

  • Risks associated with statistical decision making

  • Uses of measurement

  • Measurement and tolerances

  • Measurement system parameters

  • Gauge stability, bias , linearity, repeatability, reproducibility

  • Accuracy bias analysis

  • Precision analysis

  • GR&R study

  • Gauge repeatability and reproducibility study for attributes data