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 / Bruglieri, Maurizio; Mancini, Simona; Pisacane, Ornella. - In: COMPUTERS & OPERATIONS RESEARCH. - ISSN 0305-0548. - 112:104759(2019). [10.1016/j.cor.2019.07.017]
The green vehicle routing problem with capacitated alternative fuel stations
Ornella Pisacane
2019-01-01
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 issueI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
