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MSA: Complete Training Coursework (eBook)

Measurement System Analysis: Analysis of Gage, Operator and Part Variation

Category: Quality Management, Lean Six Sigma

Author: Sharma Narender

Language: English

Format: PDF

Price: INR 1999.00

Content Description

Introduction: What is Measurement Study? When and why use MSA? Application of MSA. Sources of variation. Impact of measurement errors. Causes of measurement variation.

Components of MSA: Resolution or Discrimination, Measurement Error, Bias, Gage R&R, Linearity, Stability, Calibration Plot, and Attribute R&R.

Resolution or Discrimination: Meaning and calculation of resolution with example.

Measurement Error: Measurement System Error; Repeatability and Reproducibility. Measurement Error in mathematical terms. Measurement error categories; Accuracy and Precision. Assessing measurement data.

Bias: Definition of Bias. Bias as % of Tolerance. Example problem to calculate Bias.

Gage R&R: Repeatability (EV), Reproducibility (AV). Calculation of Gage R&R. Total Process Variation. Number of Distinct Data Categories (NDC). Measurement Capability Indices (MCI). Gage R&R w.r.t. Total variation, Gage R&R w.r.t. Tolerance. Case study; Gage R&R, Interpretation of Repeatability and Reproducibility Charts.

Linearity: Definition of linearity. Concept of linear equation. Components of linearity; Bias, Equation of linearity, %Linearity, Point of zero bias, Coefficient of determination. Linearity chart in excel. Example problem. Interpretation of Linearity chart.

Stability: Definition of stability. Stability mean chart and range chart. Example problem and interpretation of stability chart.

Calibration plot: Meaning and understanding of calibration plot. Example problem and interpretation of calibration plot.

Attribute R&R: Interpretation of repeatability and reproducibility of attribute data.

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Last updated on: 04 July, 2017

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