ENBIS-16 in Sheffield

11 – 15 September 2016; Sheffield Abstract submission: 20 March – 4 July 2016

Supersaturated Split-Plot Screening Experiments

12 September 2016, 10:40 – 11:00

Abstract

Submitted by
Emily Matthews
Authors
Emily Matthews (University of Southampton)
Abstract
Screening is a key step in early industrial and scientific experimentation to identify those factors that have a substantive impact on the response. Practical screening experiments often have to be performed with limited resources and in the presence of restrictions in the randomisation of the design due to, for example, the need to incorporate hard-to-change factors via a split-plot design. Supersaturated designs, with fewer runs than the number of potential individual and joint factor effects, are now a common tool for screening experiments. We present a methodology that generalises this class of design to split-plot experiments. A linear mixed effects model is used to describe the response from such experiments, and methods for optimal design, model selection and variable-component estimation are developed and presented. An example from materials science and an industrial example from pharmaceutical science are used to demonstrate new approaches to both the design and analysis of such supersaturated split-plot experiments.
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