The cumulative sum (CUSUM) control chart is considered to be an altern
ative or complementary to Shewhart control charts in statistical proce
ss control (SPC) applications, owing to its higher sensitivity to smal
l shifts in the process mean. It utilizes all the available data rathe
r than the last few ones used in Shewhart control charts for quick dec
ision making. The CUSUM method assumes that the process is stable and
under control. In addition, the variability of the process should be w
ell below when compared to the specification limits, i.e. the process
must have a high capability ratio to permit variations in the mean of
the process without affecting the quality of the product or operations
. In this manner, the practical purpose of the CUSUM method is not rea
lly to verify whether the process is out of control or meets the speci
fication limits, but for analyzing the shift in the process mean, stre
ssing the aspects such as performance, productivity, cost, etc. The se
nsitivity analysis conducted on the CUSUM method establishes that it i
s not effective in a certain range of shifts in the mean of the proces
s. The analysis on effects of shift in the mean and type-I error on th
e effectiveness of the method shows that the CUSUM does not predict th
e existence of shift in the process mean when the real shift is much h
igher than the shift that is being searched for its existence. A compu
tational program has been developed for calculating the minimum value
of alpha (type-I error) given certain values of the shift in the mean.
With these results it is possible to observe that, for a given value
of alpha, the CUSUM method may not detect a shift in the mean greater
than the value of the expected shift.