It is often impractical to perform the experimental runs of a fractional fa
ctorial in a completely random order. In these cases, restrictions on the r
andomization of the experimental trials are imposed and the design is said
to have a split-plot structure. We rank these fractional factorial split-pl
ot designs similarly to fractional factorials using the aberration criterio
n to find the minimum-aberration design. We introduce an algorithm that con
structs the set of all nonisomorphic two-level fractional factorial split-p
lot designs more efficiently than existing methods. The algorithm can be ea
sily modified to efficiently produce sets of all nonisomorphic fractional f
actorial designs, fractional factorial designs in which the number of level
s is a power of a prime, and fractional factorial split-plot designs in whi
ch the number of levels is a power of a prime.