期刊
DECISION SUPPORT SYSTEMS
卷 54, 期 1, 页码 414-423出版社
ELSEVIER
DOI: 10.1016/j.dss.2012.06.007
关键词
Dynamic vehicle routing; Event-driven framework; Multiple scenario approach; Online stochastic optimization; VRPSD
类别
资金
- CPER (Contrat de Projet Etat Region) Vallee du Libre
- Centro de Estudios Inter-disciplinarios Basicos y Aplicados en Complejidad (CeiBA, Colombia)
The real-time operation of a fleet of vehicles introduces challenging optimization problems. In this work, we propose an event-driven framework that anticipates unknown changes arising in the context of dynamic vehicle routing. The framework is intrinsically parallelized to take advantage of modem multi-core and multi-threaded computing architectures. It is also designed to be easily embeddable in decision support systems that cope with a wide range of contexts and side constraints. We illustrate the flexibility of the framework by showing how it can be adapted to tackle the dynamic vehicle routing problem with stochastic demands. (C) 2012 Elsevier B.V. All rights reserved.
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