2011
DOI: 10.1002/qre.1181
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Semifold plans for mixed‐level designs

Abstract: This article presents a more efficient method for sequential augmentation of mixed-level designs. The proposed approach reduces the optimal foldover plan of a mixed-level design to a semifold plan by selecting half of the treatment combinations of the foldover fraction using exhaustive search and the criterion of general balance metric. The resulting design is a more economic run size augmented fraction that possesses good balance and orthogonality properties for main effects and two-factor interactions. Three… Show more

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Cited by 5 publications
(4 citation statements)
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References 7 publications
(16 reference statements)
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“…In addition, Grömping and Xu derived two versions of a generalized resolution for qualitative factors [15]. Regarding sequential experimentation for mixed-level designs, significant contributions come from Guo [16], who developed fold-over plans using a rotation index, while Rios developed semifold plans using an exhaustive search [17].…”
Section: Related Literaturementioning
confidence: 99%
“…In addition, Grömping and Xu derived two versions of a generalized resolution for qualitative factors [15]. Regarding sequential experimentation for mixed-level designs, significant contributions come from Guo [16], who developed fold-over plans using a rotation index, while Rios developed semifold plans using an exhaustive search [17].…”
Section: Related Literaturementioning
confidence: 99%
“…Por lo tanto, el método para construir estructuras de alias de los diseños de dos niveles no puede ser utilizado para estos diseños. Las propiedades básicas de los diseños factoriales son balance y ortogonalidad (Ríos et al, 2011). La propiedad de balance se refiere a que cada nivel de un factor se ejecute el mismo número de veces en un experimento, de esta forma se obtiene una distribución uniforme de la información para cada nivel de factor.…”
Section: Introductionunclassified
“…Los planes se construyeron utilizando el enfoque de búsqueda exhaustiva que implica cualquier combinación de columnas y cualquier valor de p, donde p es el grado de rotación. Ríos et al (2011) desarrollaron planes semifold para diseños factoriales de niveles mixtos mediante la selección de la mitad de las combinaciones de las corridas experimentales de una fracción foldover utilizando el enfoque de búsqueda exhaustiva. Los planes semifold resultan ser diseños de tamaño más económico en comparación con los planes óptimos foldover.…”
Section: Introductionunclassified
“…Several algorithms for constructing balanced orthogonal mixed‐level designs have been proposed, Rios et al Wang and Wu proposed an approach for construction of orthogonal designs based upon difference matrices. DeCock and Stufken designed an algorithm for construction of orthogonal mixed‐level designs through searching some existing two‐level orthogonal designs.…”
Section: Introductionmentioning
confidence: 99%