Using Column Generation To Solve A Coal ...
Type de document :
Compte-rendu et recension critique d'ouvrage
DOI :
Titre :
Using Column Generation To Solve A Coal Blending Problem
Auteur(s) :
De Wolf, Daniel [Auteur]
Université du Littoral Côte d'Opale [ULCO]
Territoires, Villes, Environnement & Société - ULR 4477 [TVES]
Auray, Stéphane [Auteur]
Université du Littoral Côte d'Opale [ULCO]
Economie Quantitative, Intégration, Politiques Publiques et Econométrie [EQUIPPE]
Smeers, Yves [Auteur]
Université du Littoral Côte d'Opale [ULCO]
Territoires, Villes, Environnement & Société - ULR 4477 [TVES]
Auray, Stéphane [Auteur]
Université du Littoral Côte d'Opale [ULCO]
Economie Quantitative, Intégration, Politiques Publiques et Econométrie [EQUIPPE]
Smeers, Yves [Auteur]
Titre de la revue :
RAIRO - Operations Research
Pagination :
15-37
Éditeur :
EDP Sciences
Date de publication :
2015-01
ISSN :
0399-0559
Mot(s)-clé(s) en anglais :
Column generation
coal blending
coal blending
Discipline(s) HAL :
Sciences de l'Homme et Société/Gestion et management
Résumé en anglais : [en]
In this paper, we formulate and solve a real life coal blending problem using a Column Generation Approach. The objective of the model is to prescribe optimal mixes of coal to produce coke. The problem is formulated as a ...
Lire la suite >In this paper, we formulate and solve a real life coal blending problem using a Column Generation Approach. The objective of the model is to prescribe optimal mixes of coal to produce coke. The problem is formulated as a mixed integer program. It involves various types of constraints arising from technical considerations of the blending process. The model also incorporates nonlinear constraints. It results in a large-scale problem that cannot be solved by classical operations research methods. Defining three heuristic methods based on column generation techniques, this paper proposes reasonable solutions for the industry.Lire moins >
Lire la suite >In this paper, we formulate and solve a real life coal blending problem using a Column Generation Approach. The objective of the model is to prescribe optimal mixes of coal to produce coke. The problem is formulated as a mixed integer program. It involves various types of constraints arising from technical considerations of the blending process. The model also incorporates nonlinear constraints. It results in a large-scale problem that cannot be solved by classical operations research methods. Defining three heuristic methods based on column generation techniques, this paper proposes reasonable solutions for the industry.Lire moins >
Langue :
Anglais
Vulgarisation :
Non
Source :
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