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Measurement System Analysis and Gage R&R Flashcards

7 cards from real Lean Six Sigma Green Belt Certification practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

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  1. What does MSA stand for in the context of Lean Six Sigma?

    Answer: Measurement System Analysis

    MSA stands for Measurement System Analysis, a structured study that evaluates the accuracy and precision of a measurement system.

  2. Which two components of variation does a Gage R&R study measure?

    Answer: Repeatability and Reproducibility

    Gage R&R measures Repeatability (variation from the same operator and gage on the same part) and Reproducibility (variation between different operators).

  3. Repeatability in a Gage R&R study is defined as the variation observed when:

    Answer: The same operator measures the same part multiple times with the same gage

    Repeatability captures equipment variation — it is the variation seen when one operator repeatedly measures the same part with the same gage.

  4. What is the primary purpose of conducting a Gage R&R study in the Measure phase?

    Answer: To determine whether the measurement system can detect real process variation

    Gage R&R determines whether measurement system error is small enough relative to process variation to allow valid data collection and analysis.

  5. What %Gage R&R value is generally considered acceptable according to AIAG guidelines?

    Answer: Less than 10%

    A measurement system with %Gage R&R below 10% is considered acceptable, meaning measurement error is a small fraction of total observed variation.

  6. Which metric in Gage R&R indicates how many distinct groups a measurement system can reliably differentiate?

    Answer: Number of Distinct Categories (NDC)

    The Number of Distinct Categories (NDC) indicates how many separate groups the measurement system can reliably discriminate; an NDC of 5 or more is generally required.

  7. Bias in a measurement system is best defined as:

    Answer: The difference between the observed average measurement and the known reference (true) value

    Bias is the systematic offset between the average measured value and the true reference value, indicating a consistent over- or under-reading.

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