Uniting laboratory automation, DoE data, and modeling techniques to accelerate chemical process development

Author:

Rosso Victor1234ORCID,Albrecht Jacob1234ORCID,Roberts Frederick1234ORCID,Janey Jacob M.1234ORCID

Affiliation:

1. Product Development

2. Bristol-Myers Squibb

3. New Brunswick

4. USA

Abstract

Rapid knowledge building of chemical processes with highly automated DoE (HAD) and statistical analyses and modeling.

Publisher

Royal Society of Chemistry (RSC)

Subject

Fluid Flow and Transfer Processes,Process Chemistry and Technology,Chemical Engineering (miscellaneous),Chemistry (miscellaneous),Catalysis

Reference17 articles.

1. High-Throughput Automation in Chemical Process Development

2. G. E. P. Box , W. G.Hunter and J. S.Hunter , Statistics for experimenters: an introduction to design, data analysis, and model building , Wiley , (Wiley series in probability and mathematical statistics: Applied probability and statistics), 1978

3. R. Carlson , Design and Optimization in Organic Synthesis , Elsevier Science , (Data Handling in Science and Technology), 1991

4. Efficiency by Design:  Optimisation in Process Research

5. DOE (Design of Experiments) in Development Chemistry:  Potential Obstacles

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