Towards Sustainable Urban Logistics: An Optimization-Simulation Approach for Electric Vehicles Routing in Short Food Supply Chains
Amina El Yaagoubi,
Adnane Cabani,
Mohamed Charhbili and
Jaouad Boukachour
Additional contact information
Amina El Yaagoubi: JUNIA - JUNIA - UCL - Université catholique de Lille
Post-Print from HAL
Abstract:
The deployment of electric vehicles represents a promising solution to reduce air pollutant emissions and transport costs, especially in urban areas and short supply chains. This paper focuses on the Electric Vehicle Routing Problem in Short Food Supply Chains (EVRP-SFSCs), with the aim of reducing total energy consumption and ensuring efficient delivery of local produce. The study proposes an optimization and simulation approach, using a mixed integer linear program to minimize energy consumption while respecting various structural and operational constraints related to energy, capacity, and delivery requirements. In addition, the Simulation of Urban MObility software is used to simulate the optimized routes, considering dynamic traffic flow constraints and vehicle dynamics. The results highlight the importance of considering different dimensions and parameters for sustainable routing in SFSCs.
Date: 2023-09
References: Add references at CitEc
Citations:
Published in Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future, 1136, Springer Nature Switzerland, pp.212-224, 2023, Studies in Computational Intelligence, 978-3-031-53445-4. ⟨10.1007/978-3-031-53445-4_18⟩
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04556667
DOI: 10.1007/978-3-031-53445-4_18
Access Statistics for this paper
More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().