  We investigate in this paper the effect of the measurement error on the
performance of Run Rules control charts monitoring the coefficient of variation
(CV) squared. The previous Run Rules CV chart in the literature is improved
slightly by monitoring the CV squared using two one-sided Run Rules charts
instead of monitoring the CV itself using a two-sided chart. The numerical
results show that this improvement gives better performance in detecting
process shifts. Moreover, we will show through simulation that the
\textit{precision} and \textit{accuracy} errors do have negative effect on the
performance of the proposed Run Rules charts. We also find out that taking
multiple measurements per item is not an effective way to reduce these negative
effects.

Computation