Science and Technology Production
Book Chapter
Authorship
A. Aguirre
;
M. Coccola
;
M. Zamarripa
;
C.A. Méndez
;
A. Espuña
Date
2011
Publishing House and Editing Place
elsevier
Book
Computer-Aided Chemical Engineering, 29
(pp. 634-637)
elsevier
elsevier
ISBN
978-0-444-53711-9
Summary
Information provided by the agent in
SIGEVA
The Vehicle Routing Problem with Stochastic Demands (VRPSD) has attracted the attention of the research community in the last years. This challenging problem incorporates the inherent random behavior of demands into the traditional vehicle routing problem. This work presents a robust two-stage MILP-based formulation to deal with the VRPSD problem. The main goal of the proposed method is to generate more reliable and cost-effective solutions by simultaneously considering a set of possible scener...
The Vehicle Routing Problem with Stochastic Demands (VRPSD) has attracted the attention of the research community in the last years. This challenging problem incorporates the inherent random behavior of demands into the traditional vehicle routing problem. This work presents a robust two-stage MILP-based formulation to deal with the VRPSD problem. The main goal of the proposed method is to generate more reliable and cost-effective solutions by simultaneously considering a set of possible sceneries in the decision-making process.
Show more
Show less
Key Words
MILP modelsStochastic OptimizationVehicle routing Problems