TY - JOUR
T1 - A family of orthogonal main effects screening designs for mixed-level factors
AU - Jones, Bradley
AU - Lekivetz, Ryan
AU - Nachtsheim, Christopher
N1 - Publisher Copyright:
© 2023 American Society for Quality.
PY - 2023
Y1 - 2023
N2 - There is limited literature on screening when some factors are at three levels and others are at two levels. This topic has seen renewed interest of late following the introduction of the definitive screening design structure by Jones and Nachtsheim 2011 and Xiao et al. 2012. Two well-known examples are Taguchi’s L 18 and L 36 designs. However, these designs are limited in two ways. First, they only allow for either 18 or 36 runs, which is restrictive. Second, they provide no protection against bias of the main effects due to active two-factor interactions. In this article, we introduce a family of orthogonal, mixed-level screening designs in multiples of eight runs. Our 16-run design can accommodate up to four continuous three-level factors and up to eight two-level factors. The three-level factors must be continuous, whereas the two-level factors can be either continuous or categorical. All of our designs supply substantial bias protection of the main effects estimates due to active two-factor interactions.
AB - There is limited literature on screening when some factors are at three levels and others are at two levels. This topic has seen renewed interest of late following the introduction of the definitive screening design structure by Jones and Nachtsheim 2011 and Xiao et al. 2012. Two well-known examples are Taguchi’s L 18 and L 36 designs. However, these designs are limited in two ways. First, they only allow for either 18 or 36 runs, which is restrictive. Second, they provide no protection against bias of the main effects due to active two-factor interactions. In this article, we introduce a family of orthogonal, mixed-level screening designs in multiples of eight runs. Our 16-run design can accommodate up to four continuous three-level factors and up to eight two-level factors. The three-level factors must be continuous, whereas the two-level factors can be either continuous or categorical. All of our designs supply substantial bias protection of the main effects estimates due to active two-factor interactions.
KW - Hadamard matrix
KW - Kronecker products
KW - conference matrix
KW - definitive screening designs
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U2 - 10.1080/00224065.2023.2196455
DO - 10.1080/00224065.2023.2196455
M3 - Article
AN - SCOPUS:85158910189
SN - 0022-4065
VL - 55
SP - 527
EP - 534
JO - Journal of Quality Technology
JF - Journal of Quality Technology
IS - 5
ER -