Solving the Vehicle Routing Problem with Stochastic Demands with a Multiple Scenario Approach

Abstract : 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 geolocalization technologies have opened promising perspectives in this field. We illustrate on the VRPSD the flexibility of jMSA, a generic framework for Multiple Scenario Approach. Preliminary results show that a continuous re-optimization leads to reductions in route failures and improvements in cost efficiency.
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Conference papers
ALIO-INFORMS Joint International Meeting 2010, Jun 2010, Buenos Aires, Argentina
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https://hal.archives-ouvertes.fr/hal-00623472
Contributor : Victor Pillac <>
Submitted on : Wednesday, September 14, 2011 - 1:30:40 PM
Last modification on : Wednesday, September 14, 2011 - 1:30:40 PM

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  • HAL Id : hal-00623472, version 1

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Victor Pillac, Christelle Guéret, Andrés Medaglia. Solving the Vehicle Routing Problem with Stochastic Demands with a Multiple Scenario Approach. ALIO-INFORMS Joint International Meeting 2010, Jun 2010, Buenos Aires, Argentina. <hal-00623472>

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