Design of Experiments: Summary and Further Reading
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.
Recommended reading:
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.
- Route Selection
- GMP
- Introduction to Process Engineering
- Route Selection and Scale Up: Case Study and Exercise
- Process Safety
- Reactive Hazards in Scaling Up: Case Study and Exercise
- Design of Experiments
- Some Definitions
- The Experimental Design Process
- Comparing Traditional Approaches to Experimental Design
- Examples of Variables and Responses for a Chemical Process
- Main Effects and Interactions
- Experimental Designs: Factorial Designs
- Experimental Designs: Response Surface Design
- Design of Experiments: Summary and Further Reading
- Reaction Work-up and Product Isolation
- Environmental Legislation
- Abatement and Waste Treatment