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