There has been considerable research on the economic design of Statist
ical Process Control models, for example on xBAR charts. Much of this
research has assumed either a discrete event or continuous time proces
s. However, virtually no research has been reported on continuous time
models which formally investigate the effects of the choice of proces
s failure mechanism on its design parameters. Using a continuous time
model, we show empirically that such model design parameters are affec
ted by the choice of process failure mechanism. The significance of th
is influence depends on the size of a process shift that one wishes to
detect. The smaller the shift, the more significant the effect on the
design parameters. For process shifts of 1 standard deviation or more
, the design parameters are essentially robust with respect to choice
of process failure mechanism.