>>>
[log in to unmask] 12/27/02 12:09PM
>>>
Does anyone have a standard way to normalize yield percentage
charts for
wildly varying production volumes ?
My yield percentage charts
show 50% yield when there is 1 out of 2
failures or 50 out of 100
failures.
The 50% Yield with 1 out of 2 usually happens during a Christmas
week
when there is no production, only rework.
I have tried to normalize
the charts by using a constant denominator
based on the nominal volume.
I
use 13 week rolling averages but they are messed up by the low volume
yield
results.
This low volume percentage reporting can cause incorrect
corrective
actions.
Does anyone know of a standard way to normalize the
data ?
Cronbach's Alpha,
Split-Half Reliability (Spearman-Brown
Coefficient),
Attenuation correction,
Pair Wise Deletion of Missing
Data,
Partial correlation,
Parzen Window,
Pearson Curves,
Johnson
Curves ?
Paul
Signorelli
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