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Optimum Designs Versus Orthogonal Arrays for Main Effects and Two-Factor Interactions
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Optimum Designs Versus Orthogonal Arrays for Main Effects and Two-Factor Interactions
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Journal Article
Optimum Designs Versus Orthogonal Arrays for Main Effects and Two-Factor Interactions
2010
Overview
Designs with full estimation capacity permit estimation of all main effects and all two-factor interactions. By allowing correlation among the effects, the run size of such designs can be smaller than required for a resolution of 5. To construct a design, one can either use commercial software for designs with optimized D-efficiencies or a catalog of orthogonal arrays. In the context of a wood construction experiment, we discuss how to choose between these approaches. We enumerate mixed-level and multilevel resolution-4 designs with run size up to 72 and with the maximum number of factors compatible with a full estimation capacity. Algorithmically constructed benchmark designs were generated with commercial software. Our study results in a list of recommended designs.
Publisher
Taylor & Francis,American Society for Quality,Taylor & Francis Ltd
