A Simulation-Based Solution for Optimal Logistics of Heavy and Variable-Size Items

  1. M. Victoria de-la-Fuente 1
  2. Eloy Hontoria 1
  3. Lorenzo Ros-McDonnell 1
  1. 1 Universidad Politécnica de Cartagena
    info

    Universidad Politécnica de Cartagena

    Cartagena, España

    ROR https://ror.org/02k5kx966

Libro:
Industrial Engineering: Innovative Networks: 5th International Conference on Industrial Engineering and Industrial Management "CIO 2011", Cartagena, Spain, September 2011, Proceedings
  1. Suresh P. Sethi (dir. congr.)
  2. Marija Bogataj (dir. congr.)
  3. Lorenzo Ros-McDonnell (dir. congr.)

Editorial: Springer-Verlag Reino Unido

ISBN: 978-1-4471-2321-7

Año de publicación: 2012

Páginas: 291-298

Tipo: Capítulo de Libro

Resumen

The Vehicle Routing Problem seeks to attain the optimal determination of the routes to be used by a fleet of vehicles stations at one or several depots.When investigating acceptable solutions in this context, researchers favour the optimization technique based on simulation models, which permits descriptions of complex systems without too many assumptions. This paper presents a newsolution to add onto the mathematical model developed by Ros et al. (2010), where orders are grouped by route with the objective of improving the efficiency of the transported load and the reduction of associated costs. This new work changes the previous situation by introducing additional constraints. Fleet variations aremodeled for the different cases studied by using the Monte Carlo simulation technique.The aim is to find a variety of operative solutions since they have been validated by Google Maps web application.