Minimum Aberration Split-Plot Designs When the Whole Plot and Subplot Factors Do Not Have the Same Importance

In practical factorial experiments, we sometimes find that complete randomization of the order runs is infeasible because it more difficult to change levels some factors than others, especially in engineering experiments. Then, fractional split-plot (FFSP) designs represent a option such situations. The difficult-to-change are called whole plots (WP) factors, and other subplot (SP) factors. WP SP do not have same importance many popular minimum aberration criterion suitable any for choosing FFSP designs. This paper proposes two criteria selecting Algorithms constructing optimal under proposed. Some tabulated.