3.2 Stability and Capability Flashcards

1
Q

In Statistical Process Control, define the center line, UCL, and LCL

A

the center line is the middle of the data, usually the mean. Upper (UCL) and Lower (LCL) control limits show the edges of normal variation, usually +/- 3 standard deviations.

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2
Q

What is the difference between control limits and specification limits?

A

Control limits are determined by the process. Specification limits are determined by the customer.

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3
Q

In control charting what is subgrouping and what is staging?

A

Subgrouping is combining data points to reduce noise. i.e. charting a weekly average instead of a daily reading.
Staging is recalculating control limits based on a significant change in the process. i.e. after a process improvement.

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4
Q

What is the difference between common cause and special cause variation?

A

Common cause variation is random noise in the data with no known cause.
Special cause variation is a non-random signal in the data with a known (or discoverable) cause.

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5
Q

Why do we chart both output readings and ranges in paired control charts like IMR or xbar S charts?

A

A large movement between points can indicate a process shift, even if both points are in control.

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6
Q

What are the 4 most common run rules for SPC charts

A

Any point more than 3 standard deviations from the mean.
9 points in a row on the same side of the center line.
6 points in a row all increasing or decreasing.
14 points in a row alternating up and down.

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7
Q

What are the 3 most common data distribution patterns

A

Normal
Bi-Modal
Uniform

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8
Q

What is cpk and what is a general standard for a good cpk?

A

Process capability index. It shows how well a process fits within the customer’s specifications. A cpk of 1.66 or higher shows a capable process.

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9
Q

How are cpk, sigma levels, and ppm defective related?

A

They are all different ways of showing the same thing, how likely a process is to match customer specifications.

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