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Statistica Sinica 33 (2023), 107-126

ORTHOGONAL MINIMALLY ALIASED
RESPONSE SURFACE DESIGNS FOR
THREE-LEVEL QUANTITATIVE FACTORS AND
TWO-LEVEL CATEGORICAL FACTORS

José Núñez Ares1, Eric D. Schoen1 and Peter Goos1,2

1KU Leuven and 2University of Antwerp

Abstract: Orthogonal minimally aliased response surface (OMARS) designs constitute a new family of three-level experimental designs for studying quantitative factors. Many experiments, however, also involve one or more two-level categorical factors. In this work, we derive necessary conditions for the existence of mixed-level OMARS designs, and present three construction methods based on integer programming. Like the original three-level OMARS designs, the new mixed-level designs are orthogonal main-effect plans in which the main effects are also orthogonal to the second-order effects. These properties distinguish the new designs from definitive screening designs with additional two-level categorical factors and other mixed-level designs recently presented in the literature. To demonstrate the flexibility of our construction methods, we provide 587 mixed-level OMARS designs in the online Supplementary Material.

Key words and phrases: Definitive screening design, foldover design, mixed integer programming, OMARS design, orthogonal array.

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