There has been considerable interest recently in the application of pa
rameter design methodology to make a system's performance robust over
a wide range of input conditions. This has been referred to as robust
design with dynamic characteristics. In this paper, we first review th
is overall strategy and its usefulness and then demonstrate the limita
tions of the data analysis methods recommended by Taguchi. We then pro
pose two graphical methods, the sensitivity-standard deviation plot an
d the gamma-plot, for identifying suitable measures of dispersion that
are valid more generally. These graphical methods are related to the
mean-variance plot and the lambda-plot that have been found useful in
analyzing data from static robust design studies. The implementation a
nd the usefulness of the proposed graphical methods are illustrated th
rough two examples including a real application on engine idling perfo
rmance.