Publication detail

Designing a multi-period dynamic electric vehicle production-routing problem in a supply chain considering energy consumption

Hajiaghaei-Keshteli, Mostafa Rahmanifar, Golman Mohammadi, Mostafa Gholian-Jouybari, Fatemeh Klemes, Jirf Jaromfr Zahmatkesh, Sasan Bokhari, Awais Fusco, Gaetano Colombaroni, Chiara

Original Title

Designing a multi-period dynamic electric vehicle production-routing problem in a supply chain considering energy consumption

Type

journal article in Web of Science

Language

English

Original Abstract

The coordinated decision-making approach for considering sequential activities of the supply chain results in additional benefits by optimizing production, inventory, and distribution operations. Accordingly, this paper proposes a mixed integer linear mathematical model to optimize a multi-period production routing problem utilizing electric vehicles. The proposed model optimizes the total cost associated with fixed and variable production, holding inventory, and routing, including the fixed cost of utilizing electric vehicles and travel time. However, mileage limitation is one of the main restrictions of utilizing electric vehicles in performing deliveries which is strongly affected by the consumed energy. Although optimization of the routes of vehicles can facilitate using them, considering the variation of travel speed network links during different times of the day because of traffic conditions can obviously affect the required energy to perform the assigned deliveries. To the best of our knowledge, this paper is the first to study simultaneous multi-period dynamic production routing problems using a set of heterogenous electric vehicles whose travel time of links can vary by dividing each production period into several hourly time intervals to capture different traffic conditions. Finally, a series of capable and hybrid metaheuristic algorithms are designed and implemented to solve this problem in a real-case dimension, and all proposed algorithms are compared.

Keywords

Dynamic routing; Electric vehicles; Integrated production; Metaheuristics; Vehicle routing

Authors

Hajiaghaei-Keshteli, Mostafa; Rahmanifar, Golman; Mohammadi, Mostafa; Gholian-Jouybari, Fatemeh; Klemes, Jirf Jaromfr; Zahmatkesh, Sasan; Bokhari, Awais; Fusco, Gaetano; Colombaroni, Chiara

Released

1. 10. 2023

Publisher

ELSEVIER SCI LTDTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND

Location

ELSEVIER SCI LTDTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND

ISBN

0959-6526

Periodical

Journal of Cleaner Production

Number

421

State

United Kingdom of Great Britain and Northern Ireland

Pages count

21

URL

https://www.sciencedirect.com/science/article/pii/S095965262302629X?via%3Dihub

BibTex

@article{BUT187504,
  author="Hajiaghaei-Keshteli, Mostafa and Rahmanifar, Golman and Mohammadi, Mostafa and Gholian-Jouybari, Fatemeh and Klemes, Jirf Jaromfr and Zahmatkesh, Sasan and Bokhari, Awais and Fusco, Gaetano and Colombaroni, Chiara",
  title="Designing a multi-period dynamic electric vehicle production-routing problem in a supply chain considering energy consumption",
  journal="Journal of Cleaner Production",
  year="2023",
  number="421",
  pages="21",
  doi="10.1016/j.jclepro.2023.138471",
  issn="0959-6526",
  url="https://www.sciencedirect.com/science/article/pii/S095965262302629X?via%3Dihub"
}