Electric vehicle routing problem with time windows and cargo weight

Warning The system is temporarily closed to updates for reporting purpose.

Rastani, Sina and Yüksel, Tuğçe and Çatay, Bülent (2020) Electric vehicle routing problem with time windows and cargo weight. In: Golinska-Dawson, Paulina and Tsai, Kune-Muh and Kosacka-Olejnik, Monika, (eds.) Smart and Sustainable Supply Chain and Logistics – Trends, Challenges, Methods and Best Practices. EcoProduction, 1. Springer, Cham, Switzerland, pp. 175-190. ISBN 978-3-030-61946-6 (Print) 978-3-030-61947-3 (Online)

Full text not available from this repository. (Request a copy)

Abstract

There is growing interest in the utilization of electric vehicles (EVs) in logis-tics operations as they can cut dependency on fossil fuels, hence, signifi-cantly contribute to the efforts on reducing carbon emissions and air pollu-tion. However, their limited driving range still remains as a major barrier in their adoption despite the advancements in battery technology. In this study, we extend the well-known Electric Vehicle Routing Problem with Time Windows by taking into account the cargo weight, which may play a crucial role in the operational efficiency of the EVs since it can affect the energy consumption significantly. We present the mixed-integer linear pro-gramming formulation of the problem and perform an extensive experi-mental study to investigate the influence of load on the routing decisions. We solve small-size instances using a commercial solver, and for the large-size instances, we develop a Large Neighbourhood Search algorithm. The results show that cargo weight may create substantial changes in the route plans and fleet size.
Item Type: Book Section / Chapter
Subjects: T Technology > T Technology (General) > T055.4-60.8 Industrial engineering. Management engineering
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Industrial Engineering
Faculty of Engineering and Natural Sciences
Depositing User: Bülent Çatay
Date Deposited: 21 Apr 2021 18:37
Last Modified: 21 Apr 2021 18:37
URI: https://research.sabanciuniv.edu/id/eprint/41446

Actions (login required)

View Item
View Item