Design of Experiments (DoE) and Process Optimization. A Review of Recent Publications
Star Technology and Research (United States)
Indexed incrossref
Abstract
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.
Citation impact
557
total citations
- FWCI
- 9.63
- Percentile
- 100%
- References
- 99
Citations per year
Authors
2Topics & keywords
Topics
Keywords
- Design of experiments
- Process (computing)
- Computer science
- Biochemical engineering
- Process engineering
- Systems engineering
- Manufacturing engineering
- Management science
UN Sustainable Development Goals
- Industry, innovation and infrastructure
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