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Integrated planning for electric commercial vehicle fleets: A case study for retail mid-haul logistics networks

Author

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  • Schiffer, Maximilian
  • Klein, Patrick S.
  • Laporte, Gilbert
  • Walther, Grit

Abstract

Electric commercial vehicles can contribute significantly to sustainable transportation. However, they are still perceived as being less economically viable than internal combustion engine vehicles. To this end, we analyze the deployment of electric commercial vehicles in retail mid-haul logistics fleets for current and future technology scenarios. We develop a novel assessment methodology that combines total cost of ownership calculations with a rich location-routing model. We consider integrated strategic network design and operational routing decisions over a multi-period time horizon, accounting for mixed fleets of electric and conventional vehicles and battery degradation. To solve this problem, we develop a novel matheuristic that embeds a state-of-the-art metaheuristic to take operational routing decisions. With this framework, we analyze a possible transition towards electrified logistics fleets. Starting with a real-world case, we perform sensitivity analyses based on a technology roadmap and further network structures. We discuss cost structures, the time-dependent nature of investment decisions, operational characteristics, and potential emissions savings. We show that in certain cases an electrification of mid-haul logistics fleets is operationally feasible, economically viable, and provides environmental advantages.

Suggested Citation

  • Schiffer, Maximilian & Klein, Patrick S. & Laporte, Gilbert & Walther, Grit, 2021. "Integrated planning for electric commercial vehicle fleets: A case study for retail mid-haul logistics networks," European Journal of Operational Research, Elsevier, vol. 291(3), pages 944-960.
    • Handle: RePEc:eee:ejores:v:291:y:2021:i:3:p:944-960
    DOI: 10.1016/j.ejor.2020.09.054
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    Cited by:

    1. Lera-Romero, Gonzalo & Miranda Bront, Juan José & Soulignac, Francisco J., 2024. "A branch-cut-and-price algorithm for the time-dependent electric vehicle routing problem with time windows," European Journal of Operational Research, Elsevier, vol. 312(3), pages 978-995.
    2. Concettina Marino & Antonino Nucara & Maria Francesca Panzera & Matilde Pietrafesa, 2022. "Assessment of the Road Traffic Air Pollution in Urban Contexts: A Statistical Approach," Sustainability, MDPI, vol. 14(7), pages 1-16, March.
    3. Gao, Yongling & Leng, Mingming & Zhang, Yaping & Liang, Liping, 2022. "Incentivizing the adoption of electric vehicles in city logistics: Pricing, driving range, and usage decisions under time window policies," International Journal of Production Economics, Elsevier, vol. 245(C).
    4. Yang, Wen & Ma, Jianhua & Fan, Ao & Zhang, Jinyi & Pan, Yanchun, 2024. "Effectiveness of policies for electric commercial vehicle adoption and emission reduction in the logistics industry," Energy Policy, Elsevier, vol. 188(C).
    5. Balasundaram Baranidharan & Ieva Meidute-Kavaliauskiene & Ghanshaym S. Mahapatra & Renata Činčikaitė, 2022. "Assessing the Sustainability of the Prepandemic Impact on Fuzzy Traveling Sellers Problem with a New Fermatean Fuzzy Scoring Function," Sustainability, MDPI, vol. 14(24), pages 1-17, December.

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