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Revenue management for rail container transportation

Ioana-Codrutsa Bilegan 1 Luce Brotcorne 2 Dominique Feillet 3, 4 Yezekael Hayel 5
1 LAMIH - Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201
2 DOLPHIN - Parallel Cooperative Multi-criteria Optimization
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
3 SFL-ENSMSE - Département Sciences de la Fabrication et Logistique
4 LIMOS - Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes
5 LIA - Laboratoire Informatique d'Avignon
Abstract : In this paper, we consider the revenue maximization problem of a rail freight transportation company or an intermodal marketing company selling freight transportation services. We propose a revenue management (RM) policy to dynamically accept transportation requests or reject them in favor of some future forecasted transportation demands with higher potential profit. In the proposed load acceptance system, we explicitly take the network structure into account. We analyze solutions obtained from numerical simulations and conclude on the promising results shown by the RM system.
Keywords : Revenue management Rail transportation Multi-commodity flow problem
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Journal articles
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https://hal-emse.ccsd.cnrs.fr/emse-01092226
Contributor : Dominique Feillet <>
Submitted on : Monday, December 8, 2014 - 2:27:07 PM
Last modification on : Wednesday, January 13, 2021 - 1:51:09 PM

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EMSE | CNRS | INRIA | INSTITUT-TELECOM | CRISTAL-DOLPHIN | CRISTAL | UNIV-LILLE | UNIV-VALENCIENNES | UNIV-AVIGNON | LIA | LIMOS | PRES_CLERMONT

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Ioana-Codrutsa Bilegan, Luce Brotcorne, Dominique Feillet, Yezekael Hayel. Revenue management for rail container transportation. EURO Journal on Transportation and Logistics, Springer, 2015, 4 (2), pp.261-283. ⟨10.1007/s13676-014-0051-7⟩. ⟨emse-01092226⟩

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