Por favor, use este identificador para citar o enlazar este ítem:
http://hdl.handle.net/10609/90869
Título : | Combining Monte-Carlo simulation with heuristics for solving the inventory routing problem with stochastic demands |
Autoría: | Cáceres Cruz, José de Jesús Juan, Angel A. Grasman, Scott Erwin Bektas, Tolga Faulin, Javier |
Citación : | Cáceres-Cruz, J., Juan, A.A., Grasman, S., Bektas, T. & Faulin Fajardo, F.J. (2012). Combining Monte-Carlo Simulation with Heuristics for solving the Inventory Routing Problem with Stochastic Demands. Winter Simulation Conference (WSC). Proceedings, 2012(), 3114-3122. doi: 10.1109/WSC.2012.6464999 |
Resumen : | In this paper, we introduce a simulation-based algorithm for solving the single-period Inventory Routing Problem (IRP) with stochastic demands. Our approach, which combines simulation with heuristics, considers different potential inventory policies for each customer, computes their associated inventory costs according to the expected demand in the period, and then estimates the marginal routing savings associated with each customer-policy entity. That way, for each customer it is possible to rank each inventory policy by estimating its total costs, i.e., both inventory and routing costs. Finally, a multi-start process is used to iteratively construct a set of promising solutions for the IRP. At each iteration of this multi-start process, a new set of policies is selected by performing an asymmetric randomization on the list of policy ranks. Some numerical experiments illustrate the potential of our approach. |
Palabras clave : | enrutamiento procesos estocásticos algoritmos heurísticos instituciones educativas vehículos modelización métodos Monte Carlo |
DOI: | 10.1109/WSC.2012.6464999 |
Tipo de documento: | info:eu-repo/semantics/conferenceObject |
Fecha de publicación : | dic-2012 |
Aparece en las colecciones: | Articles |
Ficheros en este ítem:
No hay ficheros asociados a este ítem.
Comparte:
Los ítems del Repositorio están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.