Systematic sources of variation can be reduced in fractional factorial
experiments by grouping the runs into blocks. This is accomplished th
rough the use of blocking factors. The concepts of resolution and mini
mum aberration, design optimization criteria ordinarily used to rank u
nblocked fractional factorial designs, are extended to such blocked fr
actional factorial designs by treating the treatment and blocking fact
ors differently in terms of their contribution to ward length in the d
efining contrast subgroup. Some limited theoretical results are derive
d, and tables of minimum-aberration blocked two-level fractional facto
rial designs are presented and considered. The relationship between cl
ear effects (effects Chat are estimable when higher-order effects are
assumed negligible) and minimum aberration in the presence of blocking
is discussed.