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From ideas to implementation

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At GlaxoSmithKline we use sequential experimental design to generate the process understanding that identifies critical process parameters and safe operating conditions for the manufacture of active pharmaceutical ingredients used in medicines. We are always looking for more efficient and effective experimental strategies and ways of managing uncertainty.

At a recent conference, Stuart Hunter observed that “within the last ten years there has been some spectacular progress in the field of experimental design – the arena has completely changed”. We want to show the decision-making progress around how much, and when to invest in experimental designs, what are the benefits, what risks are faced and are these acceptable? We will discuss how we have taken learnings from a couple of recently published papers on Supersaturated Designs and Definitive Designs and show how we have implemented these ideas to add value within GlaxoSmithKline

References Marley, C. J. and Woods, D. C. (2010), “A comparison of design and model selection methods for supersaturated experiments,” Computational Statistics and Data Analysis, 54, 3158-3167.

A Class of Three-Level Designs for Definitive Screening in the Presence of Second-Order Effects Brad Jones, SAS Institute, Christopher J. Nachsteim Journal of Quality Technology Vol. 43, No. 1, January 2011

This talk is part of the Isaac Newton Institute Seminar Series series.

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