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Activity Number: 582
Type: Invited
Date/Time: Wednesday, August 3, 2016 : 2:00 PM to 3:50 PM
Sponsor: Quality and Productivity Section
Abstract #318355
Title: Efficient Follow-Up Strategies Using Foldovers with Column Permutations
Author(s): William Li* and Dennis K. J. Lin
Companies: University of Minnesota and Penn State University
Keywords: De-alising ; Factorial design ; Foldover designs ; Follow up strategy
Abstract:

Two-level fractional factorial designs are among the most commonly used experimental designs. The trade-off of the run size economy of using such designs is that many effects can be aliased. We discuss efficient follow-up strategies that involve using foldovers. Compared to existing approaches, the proposed method allows permutations of columns of the design. While augmenting a design by a foldover with column permutations may result in a nonregular combined design, the resulting design is usually able to de-alias a larger number of aliased two-factor interactions than existing foldovers. Several classes of commonly used designs including both regular and non-regular designs are studied. We demonstrate that most of the proposed designs are better than existing foldovers with respect to the minimum aberration criterion.


Authors who are presenting talks have a * after their name.

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