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Activity Number: 355
Type: Contributed
Date/Time: Tuesday, August 2, 2016 : 10:30 AM to 12:20 PM
Sponsor: Section on Physical and Engineering Sciences
Abstract #319017
Title: Two-Level Screening Designs Derived from Binary Nonlinear Codes
Author(s): Tena Ipsilantis Katsaounis* and Manohar Lal Aggarwal
Companies: The Ohio State University and University of Memphis
Keywords: Nonregular design ; Screening design ; Factorial design ; Generalized aberration ; Uniform design ; Experimental Design
Abstract:

Nonregular fractional factorial designs can provide economical designs in screening experiments. In this paper, two criteria are proposed for evaluating the projectivity and uniformity properties of projections onto active factors in two-level nonregular fractional factorial designs. Moreover, two-level nonregular fractional factorial designs derived from binary nonlinear codes with 12, 24, 32 and 40 codewords and various lengths are evaluated using the new criteria. Such designs are also evaluated under the known E(s^2) criterion for optimal designs in screening experiments, and are compared to Plackett-Burman designs or to projections of Plackett-Burman designs. Results show that some binary nonlinear codes can provide useful two-level nonregular fractional factorial designs in screening experiments. A search method is proposed for finding good designs with a large number of factors, starting from a good design with the same number of runs but with a smaller number of factors.


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