A mixed - integer linear programming model for optimizing the scheduling and assignment of tank farm operations / Sebastian Terrazas-Moreno in Industrial & engineering chemistry research, Vol. 51 N° 18 (Mai 2012)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 51 N° 18 (Mai 2012) . - pp. 6441-6454 Titre : A mixed - integer linear programming model for optimizing the scheduling and assignment of tank farm operations Type de document : texte imprimé Auteurs : Sebastian Terrazas-Moreno, Auteur ; Ignacio E. Grossmann, Auteur ; John M. Wassick, Auteur Année de publication : 2012 Article en page(s) : pp. 6441-6454 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Mathematical programming Scheduling Optimization Modeling Mixed integer Linear Résumé : This paper presents a novel mixed-integer linear programming (MILP) formulation for the tank farm operation problem (TFOP), which involves the simultaneous scheduling of continuous multiproduct processing lines and the assignment of dedicated storage tanks to finished products. The objective of the problem is to minimize blocking of the finished lines by obtaining an optimal schedule and an optimal allocation of storage resources. The novelty of this work is the integration of a tank assignment problem with a scheduling problem where a dedicated storage tank has to be chosen from a tank farm given the volumes, sequencing, and timing of production of a series of products. The scheduling part of the model is based on the multioperation sequencing (MOS) model by Mouret et al. (Mouret, S.; Grossmann, L E.; Pestiaux, P. Time representations and mathematical models for process scheduling problems. Comput. Chem. Eng. 2011, 35, 1038―1063). The formulation is tested in three examples of different size and complexity. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25867295 [article] A mixed - integer linear programming model for optimizing the scheduling and assignment of tank farm operations [texte imprimé] / Sebastian Terrazas-Moreno, Auteur ; Ignacio E. Grossmann, Auteur ; John M. Wassick, Auteur . - 2012 . - pp. 6441-6454. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 18 (Mai 2012) . - pp. 6441-6454 Mots-clés : Mathematical programming Scheduling Optimization Modeling Mixed integer Linear Résumé : This paper presents a novel mixed-integer linear programming (MILP) formulation for the tank farm operation problem (TFOP), which involves the simultaneous scheduling of continuous multiproduct processing lines and the assignment of dedicated storage tanks to finished products. The objective of the problem is to minimize blocking of the finished lines by obtaining an optimal schedule and an optimal allocation of storage resources. The novelty of this work is the integration of a tank assignment problem with a scheduling problem where a dedicated storage tank has to be chosen from a tank farm given the volumes, sequencing, and timing of production of a series of products. The scheduling part of the model is based on the multioperation sequencing (MOS) model by Mouret et al. (Mouret, S.; Grossmann, L E.; Pestiaux, P. Time representations and mathematical models for process scheduling problems. Comput. Chem. Eng. 2011, 35, 1038―1063). The formulation is tested in three examples of different size and complexity. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25867295

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Multisite capacity, production, and distribution planning with reactor modifications / Fengqi You in Industrial & engineering chemistry research, Vol. 50 N° 9 (Mai 2011)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 50 N° 9 (Mai 2011) . - pp. 4831-4849 Titre : Multisite capacity, production, and distribution planning with reactor modifications : MILP model, bilevel decomposition algorithm versus lagrangean decomposition scheme Type de document : texte imprimé Auteurs : Fengqi You, Auteur ; Ignacio E. Grossmann, Auteur ; John M. Wassick, Auteur Année de publication : 2011 Article en page(s) : pp. 4831-4849 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Mathematical programming Algorithm Modeling Mixed integer Linear Reactor Planning Production Résumé : We propose a multiperiod mixed-integer linear programming (MILP) model for the simultaneous capacity, production, and distribution planning for a multisite system including a number of production sites and markets. Multiple products are produced in several production trains that are located in different sites. The unique feature of the proposed model is that it considers the construction times of capacity modifications and takes into account the option of capacity transformation by modifying the reactor in a production train from producing one product family to producing another one. To solve the resulting large-scale MLLP model, we present solution techniques based on Lagrangean decomposition and bilevel decomposition. Numerical examples are presented to illustrate the applicability of the model and the performance of the algorithms. It is shown that the bilevel decomposition is the superior solution approach in terms of faster computational times and smaller optimality gaps for the problem addressed in this work. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24128618 [article] Multisite capacity, production, and distribution planning with reactor modifications : MILP model, bilevel decomposition algorithm versus lagrangean decomposition scheme [texte imprimé] / Fengqi You, Auteur ; Ignacio E. Grossmann, Auteur ; John M. Wassick, Auteur . - 2011 . - pp. 4831-4849. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 50 N° 9 (Mai 2011) . - pp. 4831-4849 Mots-clés : Mathematical programming Algorithm Modeling Mixed integer Linear Reactor Planning Production Résumé : We propose a multiperiod mixed-integer linear programming (MILP) model for the simultaneous capacity, production, and distribution planning for a multisite system including a number of production sites and markets. Multiple products are produced in several production trains that are located in different sites. The unique feature of the proposed model is that it considers the construction times of capacity modifications and takes into account the option of capacity transformation by modifying the reactor in a production train from producing one product family to producing another one. To solve the resulting large-scale MLLP model, we present solution techniques based on Lagrangean decomposition and bilevel decomposition. Numerical examples are presented to illustrate the applicability of the model and the performance of the algorithms. It is shown that the bilevel decomposition is the superior solution approach in terms of faster computational times and smaller optimality gaps for the problem addressed in this work. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24128618

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