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Making design of experiments work in industry:
A case study in optimising an existing chemical process

MALCOLM MOORE, PHIL KAY

JMP Division os SAS
Henley Road,
Medmenham
Marlow SL7 2EB,
United Kingdom

KEYWORDS: Design of experiments, DOE, modelling, data mining, screening, optimisation.
ABSTRACT:
The method of Design of Experiments (DOE) was invented almost one hundred years ago by Sir Ronald Fisher and has since become an invaluable tool in helping improve product and process performance in various scientific and engineering disciplines. Still many academic and commercial organisations prefer to rely on expert judgment alone, or experiment by varying one factor at a time and are not benefiting from the DOE method. We find organizations who have not embraced DOE tend to have more problems than time available to solve them; regularly cut corners, so limiting their understanding of the real drivers of process robustness, effectiveness, and efficiency; and regularly need to fix problems with existing processes which divert resources away from innovating and developing new processes and products. This article will show how recent advances in DOE and predictive modelling methods simplify the application of DOE offering organisations competitive advantage through increased process and produc ...
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