Détail de l'auteur
Auteur Barbara Czuczai |
Documents disponibles écrits par cet auteur (3)



Analysis of extractive distillation with mathematical programming / Abdulfatah M. Emhamed ; Barbara Czuczai ; Endre Rev in Industrial & engineering chemistry research, Vol. 47 n°24 (Décembre 2008)
![]()
[article]
Titre : Analysis of extractive distillation with mathematical programming Type de document : texte imprimé Auteurs : Abdulfatah M. Emhamed, Auteur ; Barbara Czuczai, Auteur ; Endre Rev, Auteur Année de publication : 2009 Article en page(s) : p.9983–9995 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Mathematical Résumé : Extractive distillation processes are investigated by optimization. The proposed MINLP model and optimization tool are able to analyze complex distillation processes. Application of the method is demonstrated on two different extractive processes: acetone/methanol mixture using water as heavy solvent and ethanol/water mixture using methanol as light solvent. The two systems are analyzed separately; the analysis is performed both from technological and economical aspects. The optimal structures are found widely independent of the weights of different cost parts. Thus, small changes in the economic environment will not alter the optimal configuration. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie071556z
in Industrial & engineering chemistry research > Vol. 47 n°24 (Décembre 2008) . - p.9983–9995[article] Analysis of extractive distillation with mathematical programming [texte imprimé] / Abdulfatah M. Emhamed, Auteur ; Barbara Czuczai, Auteur ; Endre Rev, Auteur . - 2009 . - p.9983–9995.
Industrial chemistry
Langues : Anglais (eng)
in Industrial & engineering chemistry research > Vol. 47 n°24 (Décembre 2008) . - p.9983–9995
Mots-clés : Mathematical Résumé : Extractive distillation processes are investigated by optimization. The proposed MINLP model and optimization tool are able to analyze complex distillation processes. Application of the method is demonstrated on two different extractive processes: acetone/methanol mixture using water as heavy solvent and ethanol/water mixture using methanol as light solvent. The two systems are analyzed separately; the analysis is performed both from technological and economical aspects. The optimal structures are found widely independent of the weights of different cost parts. Thus, small changes in the economic environment will not alter the optimal configuration. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie071556z Exemplaires
Code-barres Cote Support Localisation Section Disponibilité aucun exemplaire New mixed integer linear programming model for solving scheduling problems with special characteristics / Barbara Czuczai in Industrial & engineering chemistry research, Vol. 48 N° 11 (Juin 2009)
![]()
[article]
Titre : New mixed integer linear programming model for solving scheduling problems with special characteristics Type de document : texte imprimé Auteurs : Barbara Czuczai, Auteur ; Tivadar Farkas, Auteur ; Endre Rev, Auteur Année de publication : 2009 Article en page(s) : pp. 5321–5335 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Mixed integer linear programming Scheduling problems Résumé : A new mixed integer linear programming (MILP) model suitable for optimizing scheduling problems typical in chemical and related industries is developed. These problems have characteristics like storage time constraints, operational connectivity restrictions, and continuous tasks with special precedence constraints. Therefore, a new MILP model is developed for handling these special scheduling problems. The numerical capability of the model is demonstrated using test problems of different complexity levels. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie800124g
in Industrial & engineering chemistry research > Vol. 48 N° 11 (Juin 2009) . - pp. 5321–5335[article] New mixed integer linear programming model for solving scheduling problems with special characteristics [texte imprimé] / Barbara Czuczai, Auteur ; Tivadar Farkas, Auteur ; Endre Rev, Auteur . - 2009 . - pp. 5321–5335.
Chemical engineering
Langues : Anglais (eng)
in Industrial & engineering chemistry research > Vol. 48 N° 11 (Juin 2009) . - pp. 5321–5335
Mots-clés : Mixed integer linear programming Scheduling problems Résumé : A new mixed integer linear programming (MILP) model suitable for optimizing scheduling problems typical in chemical and related industries is developed. These problems have characteristics like storage time constraints, operational connectivity restrictions, and continuous tasks with special precedence constraints. Therefore, a new MILP model is developed for handling these special scheduling problems. The numerical capability of the model is demonstrated using test problems of different complexity levels. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie800124g Exemplaires
Code-barres Cote Support Localisation Section Disponibilité aucun exemplaire Rolling operation algorithm for solving complex scheduling problems / Barbara Czuczai in Industrial & engineering chemistry research, Vol. 48 N° 8 (Avril 2009)
![]()
[article]
Titre : Rolling operation algorithm for solving complex scheduling problems Type de document : texte imprimé Auteurs : Barbara Czuczai, Auteur ; Tivadar Farkas, Auteur ; Endre Rev, Auteur Année de publication : 2009 Article en page(s) : pp. 3898–3908 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Large-scale problems Rolling operation” algorithm Résumé : Large-scale scheduling problems have remained difficult to solve despite the intense research in the area and many successful algorithms. In this paper, a new decomposition algorithm is presented which finds a good feasible solution even for large-scale problems in a reasonable time. In each iteration, a maximum allowed number of operations is first assigned to available units, then the algorithm alternates between a production quantity maximization step and a production time minimization step in each iteration. The performance of the “rolling operation” algorithm is illustrated using an industrial example. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie801037k
in Industrial & engineering chemistry research > Vol. 48 N° 8 (Avril 2009) . - pp. 3898–3908[article] Rolling operation algorithm for solving complex scheduling problems [texte imprimé] / Barbara Czuczai, Auteur ; Tivadar Farkas, Auteur ; Endre Rev, Auteur . - 2009 . - pp. 3898–3908.
Chemical engineering
Langues : Anglais (eng)
in Industrial & engineering chemistry research > Vol. 48 N° 8 (Avril 2009) . - pp. 3898–3908
Mots-clés : Large-scale problems Rolling operation” algorithm Résumé : Large-scale scheduling problems have remained difficult to solve despite the intense research in the area and many successful algorithms. In this paper, a new decomposition algorithm is presented which finds a good feasible solution even for large-scale problems in a reasonable time. In each iteration, a maximum allowed number of operations is first assigned to available units, then the algorithm alternates between a production quantity maximization step and a production time minimization step in each iteration. The performance of the “rolling operation” algorithm is illustrated using an industrial example. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie801037k Exemplaires
Code-barres Cote Support Localisation Section Disponibilité aucun exemplaire