ENBIS-17 in Naples

9 – 14 September 2017; Naples (Italy) Abstract submission: 21 November 2016 – 10 May 2017

Enumeration and Multi-Criteria Selection of Minimally Aliased Response Surface Designs

12 September 2017, 09:00 – 09:20


Submitted by
Jose Nunez Ares
José Núñez Ares (KU Leuven), Jeffrey Linderoth (UW Madison), Peter Goos (KU Leuven / Antwerp University)
Response surface designs are a core component of the response surface methodology, which is widely used in the context of product and process optimization. In some applications, the standard response surface designs, such as Box-Behnken designs and central composite designs, are too large to be practically feasible. To address this problem, we identify a new class of response surface designs, which we can Minimally Aliased Response Surface Designs (MARSDs). These designs have similar attractive technical properties as standard response surface designs. For example, the main effects of the factors under investigation can be estimated independently, and there is no aliasing between the main effects and the second-order effects (two-factor interactions and quadratic effects). In this talk, we discuss the properties of the catalogs of MARSDs we constructed, provide a brief overview of the branch-and-prune algorithm we used to construct the catalogs, and we demonstrate the added value of the new designs using a garden sprinkler experiment.

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