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Re: SPC question response
- Subject: Re: SPC question response
- From: GrantBlair@aol.com
- Date: Wed, 15 Aug 2001 11:52:06 EDT
In a message dated 8/15/2001 2:50:16 AM Eastern Daylight Time,
tpr42345@aol.com writes:
<< So how should a practitioner proceed? >>
I'll repeat again, fellas....it ain't that hard!!! All the process owner has
to do is ask two questions:
o How many DEFECTIVES do I have?
o How many DEFECTIVES do I not have?
If both questions can be answered: X oversize, undersize, cracked, etc. (N-X)
right size, not cracked, etc.Then, you can express this as a percent, plot it
as a p-chart, safely assume the underlying distribution is binomial,and
sigma is calculated by multiplying p(1-p).
However, it the question becomes:
How many DEFECTS do I have, then you will have a difficult time answering
the second question:
How many interruptions, scratches, etc. do I NOT have?
Now the underlying distribution becomes poisson, and the sigma calculation is
simplified because p is so SMALL
that (1-p) is essentially the same as 1. (open a good Statistics book!...the
derivation is pretty easy!!!).
Now, it has been correctly pointed out in another post that X-MR charts are
an appropriate substitute for p-charts under certain circumstances, such as %
efficiency/downtime, etc....this post also provided the statistical basis for
this.
I'm also surprised anyone would claim that control charts with 3-sigma limits
are only appropriate for time-ordered data. Chambers provided a number of
examples where control charts with 3-sigma limits were used to distinguish
between operators, etc.
GrantBlair@aol.com
Ninety Six SC
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