Split-plot designs are effective in industry due to time and/or cost constraints, restriction on randomization of the treatment combinations of the hard-to-change factors and different sizes of experimental units. Some of the results of fractional factorial split-plot experiments can be ambiguous and a need may arise to conduct follow-up experiments to separate effects of potential interest.The first objective of this research is to extend the foldover technique to break the alias chains of split-plot experiments.Six rules are provided to develop foldovers for minimum aberration resolution...