Exploration reveals optimal foldover plans in fractional factorial designs with 17-21 factors, suggesting enhanced strategies for interaction analysis.
This paper provides an identification of optimal foldover plans for two-level fractional factorial designs involving 17 to 21 factors, thereby augmenting the repertoire of available optimal foldover plans for resolution IV designs. The methodology applied was based on an exhaustive search algorithm capable of detecting the set of columns to be inverted in the resolution IV fraction so that the maximum number of two-factor interactions are decoupled.
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Murillo et al. (2025) studied this question.
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