TY - JOUR
T1 - The multi-depot electric vehicle location routing problem with time windows
AU - Paz, Juan Camilo
AU - Granada-Echeverri, Mauricio
AU - Escobar, John Willmer
N1 - Publisher Copyright:
© 2018 Growing Science Ltd. All rights reserved.
PY - 2018
Y1 - 2018
N2 - In this paper, the Multi-Depot Electric Vehicle Location Routing Problem with Time Windows (MDVLRP) is addressed. This problem is an extension of the MDVLRP, where electric vehicles are used instead of internal combustion engine vehicles. The recent development of this model is explained by the advantages of this technology, such as the diminution of carbon dioxide emissions, and the support that they can provide to the design of the logistic and energy-support structure of electric vehicle fleets. There are many models that extend the classical VRP model to take electric vehicles into consideration, but the multi-depot case for location-routing models has not been worked out yet. Moreover, we consider the availability of two energy supply technologies: the “Plug-in” Conventional Charge technology, and Battery Swapping Stations; options in which the recharging time is a function of the amount of energy to charge and a fixed time, respectively. Three models are proposed: one for each of the technologies mentioned above, and another in which both options are taken in consideration. The models were solved for small scale instances using C++ and Cplex 12.5. The results show that the models can be used to design logistic and energy-support structures, and compare the performance of the different options of energy supply, as well as measure the impact of these decisions on the overall distance traveled or other optimization objectives that could be worked on in the future.
AB - In this paper, the Multi-Depot Electric Vehicle Location Routing Problem with Time Windows (MDVLRP) is addressed. This problem is an extension of the MDVLRP, where electric vehicles are used instead of internal combustion engine vehicles. The recent development of this model is explained by the advantages of this technology, such as the diminution of carbon dioxide emissions, and the support that they can provide to the design of the logistic and energy-support structure of electric vehicle fleets. There are many models that extend the classical VRP model to take electric vehicles into consideration, but the multi-depot case for location-routing models has not been worked out yet. Moreover, we consider the availability of two energy supply technologies: the “Plug-in” Conventional Charge technology, and Battery Swapping Stations; options in which the recharging time is a function of the amount of energy to charge and a fixed time, respectively. Three models are proposed: one for each of the technologies mentioned above, and another in which both options are taken in consideration. The models were solved for small scale instances using C++ and Cplex 12.5. The results show that the models can be used to design logistic and energy-support structures, and compare the performance of the different options of energy supply, as well as measure the impact of these decisions on the overall distance traveled or other optimization objectives that could be worked on in the future.
KW - Electric vehicle
KW - Multi-depot
KW - Time windows
KW - Vehicle location routing problem
UR - http://www.scopus.com/inward/record.url?scp=85020124556&partnerID=8YFLogxK
U2 - 10.5267/j.ijiec.2017.4.001
DO - 10.5267/j.ijiec.2017.4.001
M3 - Article
AN - SCOPUS:85020124556
SN - 1923-2926
VL - 9
SP - 123
EP - 136
JO - International Journal of Industrial Engineering Computations
JF - International Journal of Industrial Engineering Computations
IS - 1
ER -