Design of Experiments is an efficient and structured way to maximise information while minimising resources. It is used to develop a process by identifying an operating region that is close to optimal and robust to variation in the process parameters. It is important to note that DoE needs to be used appropriately and existing process knowledge should be used when setting up the design and analysing the results.
Some of the graphs in this module were generated using Design-Expert® 7.1.1, Stat-Ease.
J. D. Moseley, Design of Experiments (DoE) for Greener Medicinal Chemistry, in Green and Sustainable Medicinal Chemistry: Methods, Tools and Strategies for the 21st Century Pharmaceutical Industry, L. Summerton, H. F. Sneddon, L. C. Jones and J. H. Clark, Royal Society of Chemistry, Cambridge, UK, 2016, ch. 11, pp. 116-128.
G. E. P. Box, W. Hunter and J. S. Hunter, Statistics for experimenters, John Wiley & Sons, Inc., 1978.
R. Carlson, Design and Optimization in Organic Synthesis, Elsevier, 1991.
D. C. Montgomery, Design and Analysis of Experiments, John Wiley & Sons, 2008.
R. H. Myers, D. C. Montgomery and C. M. Anderson-Cook, Response Surface Methodology: Process and Product Optimization Using Designed Experiments, John Wiley & Sons, 2016.