Block 4 - lecture 3 Flashcards

1
Q

what’s Rbar?

A

the average range across subgroups

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2
Q

how to use Rbar?

A

estimate standard deviation

sigma-hat = Rbar /d2

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3
Q

Positives of using Rbar for standard deviation?

A
  • ranges and quicker than averages
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4
Q

Negatives of using Rbar for standard deviation?

A
  • not true process capability
  • needs more than 25 subgroups for accuracy
  • assumes process is in control
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5
Q

what’s sbar

A

the average standard deviation across subgroups

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6
Q

how to find process capability from standard deviation?

A

sigma-hat = sbar / C4

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7
Q

Positives of using sbar for standard deviation?

A

more accurate

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8
Q

Negatives of using sbar for standard deviation?

A

takes much more time

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9
Q

What does a histogram need in order to be representative?

A

at least 50 measurements

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10
Q

Cp?

A

capability index = tolerance / process capability

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11
Q

what is a good capability index?

A

> 1 is good, as the tolerance is larger than the capability to allow for shift

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12
Q

sigma subscript 0 vs sigma-hat?

A

6 sigma subscript 0 is the true process capability, sigma hat is an estimate

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13
Q

standard minimum process capability index?

A

1.33

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14
Q

How to calculate Cpk?

A

(Xbar to closest spec) / 3 sigma

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15
Q

How to calculate Cpk?

A

(Xbar to closest spec) / 3 sigma

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16
Q

what happens to Cp with an uncentered process?

A

process capability is overestimated

17
Q

Cpk < 0?

A

process mean is out on spec limits

18
Q

Cpk = 1?

A

process limit is at a spec limi

19
Q

Cpk = 0?

A

process mean is at a spec limit

20
Q

Cp = Cpk?

A

the process is centred

21
Q

Cpk >Cp?

A

impossible

22
Q

Cpk < 1?

A

process produces some parts out of spec

23
Q

Cp < 1?

A

the process isn’t capable, even if centered