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
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.
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.
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.
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.
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.
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.