The search for sources from which small changes have an influence on the re
sponse of an analytical system, the ruggedness test, has become an essentia
l part of a validation study. However, the 'definition' of ruggedness and h
ow to perform a ruggedness test are still ambiguous. In this paper a strate
gy is proposed to perform a ruggedness test for chromatographic methods. Be
cause the strategy is based on saturated designs, ANOVA cannot be applied t
o estimate the error variance. Therefore a graphical technique, the half-no
rmal plot, is used to detect influential effects. In order to identify infl
uential effects, the algorithms of Lenth and Dong are applied to four diffe
rent examples. If a main effect is found to be significant, the confounded
two-factor interactions are resolved by a follow-up design. The strategy of
this sequential design is implemented in a sas(R) software application cal
led TRIC, testing ruggedness in chromatography. (C) 1999 Elsevier Science B
.V. All rights reserved.