Joint design and pricing on a network
Type de document :
Compte-rendu et recension critique d'ouvrage
DOI :
Titre :
Joint design and pricing on a network
Auteur(s) :
Brotcorne, Luce [Auteur]
Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 [LAMIH]
Labbé, Martine [Auteur]
Graphes et Optimisation Mathématique [Bruxelles] [GOM]
Marcotte, Patrice [Auteur]
Savard, Gilles [Auteur]
Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 [LAMIH]
Labbé, Martine [Auteur]
Graphes et Optimisation Mathématique [Bruxelles] [GOM]
Marcotte, Patrice [Auteur]
Savard, Gilles [Auteur]
Titre de la revue :
Operations Research
Pagination :
1104-1115
Éditeur :
INFORMS
Date de publication :
2008
ISSN :
0030-364X
Discipline(s) HAL :
Computer Science [cs]/Operations Research [math.OC]
Résumé en anglais : [en]
To optimize revenue, service firms must integrate within their pricing policies the rational reaction of customers to their price schedules. In the airline or telecommunication industry, this process is all the more complex ...
Lire la suite >To optimize revenue, service firms must integrate within their pricing policies the rational reaction of customers to their price schedules. In the airline or telecommunication industry, this process is all the more complex due to interactions resulting from the structure of the supply network. In this paper, we consider a streamlined version of this situation where a firm's decision variables involve both prices and investments. We model this situation as a joint design and pricing problem that we formulate as a mixed-integer bilevel program, and whose properties are investigated. In particular, we take advantage of a feature of the model that allows the development of an algorithmic framework based on Lagrangean relaxation. This approach is entirely novel, and numerical results show that it is capable of solving problems of significant sizes.Lire moins >
Lire la suite >To optimize revenue, service firms must integrate within their pricing policies the rational reaction of customers to their price schedules. In the airline or telecommunication industry, this process is all the more complex due to interactions resulting from the structure of the supply network. In this paper, we consider a streamlined version of this situation where a firm's decision variables involve both prices and investments. We model this situation as a joint design and pricing problem that we formulate as a mixed-integer bilevel program, and whose properties are investigated. In particular, we take advantage of a feature of the model that allows the development of an algorithmic framework based on Lagrangean relaxation. This approach is entirely novel, and numerical results show that it is capable of solving problems of significant sizes.Lire moins >
Langue :
Anglais
Vulgarisation :
Non
Commentaire :
Language of publication: en
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