In this paper, we introduce the Green Vehicle Routing Problem with capacitated Alternative Fuel Stations (AFSs), a more realistic variant of the Green Vehicle Routing Problem where the capacity of the AFSs is addressed. Two Mixed Integer Linear Programming formulations, one based on arc-variables and one on path-variables are presented. In order to reduce the computational time required to solve the problem, two variants of an exact cutting planes method are proposed. All the proposed approaches are also extended to be applied in a scenario in which AFSs reservation is allowed, by introducing time windows at them. Computational experiments are carried out on both benchmark and challenging realistic instances for which the capacity of the AFSs is a crucial issue.

The green vehicle routing problem with capacitated alternative fuel stations

M. Bruglieri;
2019

Abstract

In this paper, we introduce the Green Vehicle Routing Problem with capacitated Alternative Fuel Stations (AFSs), a more realistic variant of the Green Vehicle Routing Problem where the capacity of the AFSs is addressed. Two Mixed Integer Linear Programming formulations, one based on arc-variables and one on path-variables are presented. In order to reduce the computational time required to solve the problem, two variants of an exact cutting planes method are proposed. All the proposed approaches are also extended to be applied in a scenario in which AFSs reservation is allowed, by introducing time windows at them. Computational experiments are carried out on both benchmark and challenging realistic instances for which the capacity of the AFSs is a crucial issue.
Vehicle routing problem, Alternative fuel vehicles, Mixed integer linear programming, Cutting planes, Fueling pump reservation
File in questo prodotto:
File Dimensione Formato  
StationCapacitated_GVRP.pdf

embargo fino al 01/12/2022

Descrizione: Articolo principale
: Post-Print (DRAFT o Author’s Accepted Manuscript-AAM)
Dimensione 883.11 kB
Formato Adobe PDF
883.11 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1125687
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 24
  • ???jsp.display-item.citation.isi??? 21
social impact