Exploiting Historical Databases to Design the Target Quality Profile for a New Product
Author:
Affiliation:
1. CAPE-Lab—Computer-Aided Process Engineering Laboratory, Dipartimento di Ingegneria Industriale, Università di Padova, via Marzolo 9, 35131 Padova PD, Italy
2. Pfizer Worldwide R&D, 445 Eastern Point Road, Groton, Connecticut 06340, United States
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/ie3032839
Reference19 articles.
1. Product design through multivariate statistical analysis of process data
2. Industrial applications of product design through the inversion of latent variable models
3. Optimization of Batch Operating Policies. Part I. Handling Multiple Solutions#
4. Optimization of Batch Operating Policies. Part II. Incorporating Process Constraints and Industrial Applications
5. Control of batch product quality by trajectory manipulation using latent variable models
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