Documents disponibles écrits par cet auteur

Analysis of equipment performance in processes with complex serial-parallel structures / Francois Yacoub in Industrial & engineering chemistry research, Vol. 48 N° 15 (Août 2009) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 48 N° 15 (Août 2009) . - pp. 7181–7185 Titre : Analysis of equipment performance in processes with complex serial-parallel structures Type de document : texte imprimé Auteurs : Francois Yacoub, Auteur ; John F. MacGregor, Auteur Année de publication : 2009 Article en page(s) : pp. 7181–7185 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Manufacturing  processes  Parallel  equipment  units Résumé : In manufacturing processes where material is processed through a series of stages and at each stage there are many parallel equipment units that can be used, a major difficulty is assessing whether or not any of the large number of equipment units is defective and is causing a problem with the final product. A procedure is introduced in this paper to analyze historical data from such processes to address this question. The method is based on the use of indicator variables and latent variable models. The assessment of the performance of the equipment units is easily done using simple plots available from the resulting latent variable model. The methodology is illustrated through its very successful application to a complex hollow fiber membrane manufacturing process. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie801695f [article] Analysis of equipment performance in processes with complex serial-parallel structures [texte imprimé] / Francois Yacoub, Auteur ; John F. MacGregor, Auteur . - 2009 . - pp. 7181–7185. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N° 15 (Août 2009) . - pp. 7181–7185 Mots-clés : Manufacturing  processes  Parallel  equipment  units Résumé : In manufacturing processes where material is processed through a series of stages and at each stage there are many parallel equipment units that can be used, a major difficulty is assessing whether or not any of the large number of equipment units is defective and is causing a problem with the final product. A procedure is introduced in this paper to analyze historical data from such processes to address this question. The method is based on the use of indicator variables and latent variable models. The assessment of the performance of the equipment units is easily done using simple plots available from the resulting latent variable model. The methodology is illustrated through its very successful application to a complex hollow fiber membrane manufacturing process. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie801695f

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

Scale-up of a pharmaceutical roller compaction process using a joint-Y partial least squares model / Zheng Liu in Industrial & engineering chemistry research, Vol. 50 N° 18 (Septembre 2011) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 50 N° 18 (Septembre 2011) . - pp. 10696-10706 Titre : Scale-up of a pharmaceutical roller compaction process using a joint-Y partial least squares model Type de document : texte imprimé Auteurs : Zheng Liu, Auteur ; Mark-John Bruwer, Auteur ; John F. MacGregor, Auteur Année de publication : 2011 Article en page(s) : pp. 10696-10706 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Modeling  Partial  least  squares  Compaction  Scale  effect  Extrapolation Résumé : Garda-Munoz et al. [Garcia-Munoz, S.; Kourti, T.; MacGregor, J. F. Chemom. Intell. Lab. Syst. 2005, 79, 101―114] proposed a new latent variable regression methodology, joint-Y partial least squares (JYPLS), for product transfer between plants. In this paper, this method is used for product scale-up from a type of laboratory-scale roller compactor, a Fitzpatrick IR220, to a type of full-scale roller compactor, a Fitzpatrick IR520, in the pharmaceutical industry. AJYPLS model is first built with the data set collected from historical experiments on these two types of compactors. The JYPLS model relates API mass fraction, excipient mass factions, and roller compaction process measurements to ribbon properties. A constrained optimization is then formulated to invert the JYPLS model to find the key process settings of the Fitzpatrick IR520 to make the same quality of ribbon using the same raw materials formulation as the ribbon that had been produced on the Fitzpatrick IR220. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24523887 [article] Scale-up of a pharmaceutical roller compaction process using a joint-Y partial least squares model [texte imprimé] / Zheng Liu, Auteur ; Mark-John Bruwer, Auteur ; John F. MacGregor, Auteur . - 2011 . - pp. 10696-10706. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 50 N° 18 (Septembre 2011) . - pp. 10696-10706 Mots-clés : Modeling  Partial  least  squares  Compaction  Scale  effect  Extrapolation Résumé : Garda-Munoz et al. [Garcia-Munoz, S.; Kourti, T.; MacGregor, J. F. Chemom. Intell. Lab. Syst. 2005, 79, 101―114] proposed a new latent variable regression methodology, joint-Y partial least squares (JYPLS), for product transfer between plants. In this paper, this method is used for product scale-up from a type of laboratory-scale roller compactor, a Fitzpatrick IR220, to a type of full-scale roller compactor, a Fitzpatrick IR520, in the pharmaceutical industry. AJYPLS model is first built with the data set collected from historical experiments on these two types of compactors. The JYPLS model relates API mass fraction, excipient mass factions, and roller compaction process measurements to ribbon properties. A constrained optimization is then formulated to invert the JYPLS model to find the key process settings of the Fitzpatrick IR520 to make the same quality of ribbon using the same raw materials formulation as the ribbon that had been produced on the Fitzpatrick IR220. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24523887