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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]  in Industrial & 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  programming  Linear  programming 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  programming  Linear  programming 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