Our work on the dynanic vehicle routing problem with stochastic demands will be presented in Michel Gendreau’s session of the ALIO-INFORMS Joint International Meeting in Buenos Aires in June 2010 (website).
A dynamic approach for the multi-compartment vehicle routing problem with stochastic demands
Victor Pillaca,b, Christelle Guereta, Andrés L. Medagliab
a Équipe Systèmes Logistiques et de Production, IRCCyN (UMR CNRS 6597)
École des Mines de Nantes, B.P.20722, F-44307 Nantes Cedex 3, France
b Centro para la Optimización y Probabilidad Aplicada (COPA) & CEIBA
Universidad de los Andes, Cr1 Este No.19A-10 Bogotá, Colombia
Traditional approaches for the VRPSD aim at designing a-priori robust plans that avoid potential route failures. However, the widespread and inexpensive real-time communication and geo-localization technologies have opened new perspectives in this area. Our study focuses on a generalization of the VRPSD to the multi-compartment case that allows communication and cooperation between vehicles, thus reducing route failures and improving cost efficiency.
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