Design of Experiments (DoE) and Process Optimization. A Review of Recent Publications

Statistical design of experiments (DoE) is a powerful tool for optimizing processes, and it has been used in many stages of API development. This review summarizes selected publications from Organic Process Research & Development using DoE to show how processes can be optimized efficiently and h...

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Bibliographic Details
Published in:Organic process research & development 2015-11, Vol.19 (11), p.1605-1633
Main Authors: Weissman, Steven A, Anderson, Neal G
Format: Article
Language:English
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Summary:Statistical design of experiments (DoE) is a powerful tool for optimizing processes, and it has been used in many stages of API development. This review summarizes selected publications from Organic Process Research & Development using DoE to show how processes can be optimized efficiently and how DoE findings may be applied to scale-up.
ISSN:1083-6160
1520-586X
DOI:10.1021/op500169m