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Combining Monte-Carlo simulation with heuristics for solving the inventory routing problem with stochastic demands

Autor
Cáceres-Cruz, J.; Juan, A.; Bektas, T.; Grasman, S.; Faulín, F.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
2012 Winter Simulation Conference
Any de l'edició
2012
Data de presentació
2012
Llibre d'actes
Proceedings of the 2012 Winter Simulation Conference
Pàgina inicial
1
Pàgina final
9
Repositori
http://hdl.handle.net/2117/17465 Obrir en finestra nova
Resum
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 ra...
Citació
Cáceres-Cruz, J. [et al.]. Combining Monte-Carlo simulation with heuristics for solving the inventory routing problem with stochastic demands. A: Winter Simulation Conference. "Proceedings of the 2012 Winter Simulation Conference". Berlín: 2012, p. 1-9.

Participants

  • Cáceres Cruz, José  (autor ponent)
  • Juan Perez, Angel Alejandro  (autor ponent)
  • Bektas, Tolga  (autor ponent)
  • Grasman, Scott  (autor ponent)
  • Faulín Fajardo, Francisco Javier  (autor ponent)