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Optimization of batch operating policies. Part II. incorporating process constraints and industrial applications / Salvador García-Muñoz in Industrial & engineering chemistry research, Vol. 47 n°12 (Juin 2008) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 47 n°12 (Juin 2008) . - p. 4202–4208 Titre : Optimization of batch operating policies. Part II. incorporating process constraints and industrial applications Type de document : texte imprimé Auteurs : Salvador García-Muñoz, Auteur ; John F. MacGregor, Auteur ; Debashis Neogi, Auteur ; Bruce E. Latshaw, Auteur Année de publication : 2008 Article en page(s) : p. 4202–4208 Note générale : Bibliogr. p. 4208 Langues : Anglais (eng) Mots-clés : Partial  least  squares;  Batch  data Résumé : In the first part of this series [Ind. Eng. Chem. Res. 2006, 45, 7856−7866], data-driven approaches, based on partial least squares (PLS) models built from historical batch data, were used to find optimal batch operating trajectories that would yield a desired vector of final product quality attributes. The method allowed for the inclusion of univariate and multivariate constraints on the set of desired final product quality attributes and presented approaches for handling multiple solutions. In this paper, the technology is further extended to include constraints in the process operating trajectories themselves. The methodology is successfully applied to an industrial batch polymerization process where the batch trajectories are designed to achieve specific properties of the final polymer while consuming the minimal amount of time for the batch run. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie071437j [article] Optimization of batch operating policies. Part II. incorporating process constraints and industrial applications [texte imprimé] / Salvador García-Muñoz, Auteur ; John F. MacGregor, Auteur ; Debashis Neogi, Auteur ; Bruce E. Latshaw, Auteur . - 2008 . - p. 4202–4208. Bibliogr. p. 4208 Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 47 n°12 (Juin 2008) . - p. 4202–4208 Mots-clés : Partial  least  squares;  Batch  data Résumé : In the first part of this series [Ind. Eng. Chem. Res. 2006, 45, 7856−7866], data-driven approaches, based on partial least squares (PLS) models built from historical batch data, were used to find optimal batch operating trajectories that would yield a desired vector of final product quality attributes. The method allowed for the inclusion of univariate and multivariate constraints on the set of desired final product quality attributes and presented approaches for handling multiple solutions. In this paper, the technology is further extended to include constraints in the process operating trajectories themselves. The methodology is successfully applied to an industrial batch polymerization process where the batch trajectories are designed to achieve specific properties of the final polymer while consuming the minimal amount of time for the batch run. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie071437j