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Statistical Process Control Flashcards

6 cards from real CQE practice questions. Tap to flip, then mark Knew It or Still Learning โ€” missed cards come back until you master them.

Read the first 6 Statistical Process Control flashcards as text
  1. A Pareto chart in quality improvement is based on which principle?

    Answer: 80% of effects come from 20% of causes

    The Pareto principle states that roughly 80% of problems stem from 20% of causes, guiding quality teams to prioritize the vital few over the trivial many.

  2. What is the purpose of pre-control charts compared to traditional Shewhart control charts?

    Answer: They provide a simpler setup check without requiring historical data

    Pre-control charts use specification limits to create zones for quick process setup verification without needing historical process data or calculated control limits.

  3. In a Measurement System Analysis (MSA), 'reproducibility' refers to variation caused by:

    Answer: Different operators measuring the same part

    Reproducibility measures the variation introduced when different operators use the same instrument to measure the same part, reflecting operator-to-operator inconsistency.

  4. What does the %GR&R statistic evaluate in a gauge R&R study?

    Answer: The measurement system variation as a percentage of total process variation

    %GR&R expresses measurement system variation (gauge repeatability and reproducibility) as a percentage of total variation, with values under 10% generally acceptable.

  5. Which SPC chart is most appropriate for individual measurements when subgrouping is not practical?

    Answer: Individuals and Moving Range (I-MR) chart

    The Individuals and Moving Range (I-MR) chart is used when only one measurement is taken at each time point, such as in chemical batch processes or slow production rates.

  6. What does a high kurtosis value in a process distribution suggest about product quality risks?

    Answer: The distribution has heavier tails, increasing the likelihood of extreme values

    High kurtosis (leptokurtic distribution) means the distribution has heavier tails than a normal distribution, indicating a higher probability of extreme outliers and out-of-spec parts.