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A time-dependent green location-routing problem with variable speed of vehicles

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  • Arsalan Rahmani

    (University of Kurdistan)

  • Meysam Hosseini

    (University of Kurdistan)

Abstract

Recently Green Location-Routing Problem (GLRP) has been considered by many researchers. The GLRP includes location for depots and routing the vehicles simultaneously by considering environmental aspects. In this work an extension of GLRP in the presence of traffic congestion and based on variable speed is presented. The speed of vehicles (and hence the travel time), fuel consumption and environmental effects are not only dependent on the distance traveled but also they are dependent on the traffic congestion at a different time of the day, as well considered in this paper. For the addressed problem, a nonlinear mixed-integer programming formulation is delivered and then a set of preprocessing rules to linearize the formulation is done. The objective of the proposed model is to minimize the fixed cost of operating depots, delayed and early servicing penalties as well as the costs of the CO2 emissions and the fuel consumption. The amount of fuel consumption and emissions are measured by a widely used comprehensive modal emission model. In the end, a heuristic algorithm based on the PSO algorithm is proposed to solve generated test instances. Computational results over test instances confirm the proposed algorithm can find optimal or near-optimal solutions.

Suggested Citation

  • Arsalan Rahmani & Meysam Hosseini, 2022. "A time-dependent green location-routing problem with variable speed of vehicles," OPSEARCH, Springer;Operational Research Society of India, vol. 59(3), pages 945-973, September.
    • Handle: RePEc:spr:opsear:v:59:y:2022:i:3:d:10.1007_s12597-022-00581-5
    DOI: 10.1007/s12597-022-00581-5
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    References listed on IDEAS

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    1. Bektas, Tolga & Laporte, Gilbert, 2011. "The Pollution-Routing Problem," Transportation Research Part B: Methodological, Elsevier, vol. 45(8), pages 1232-1250, September.
    2. Franceschetti, Anna & Honhon, Dorothée & Van Woensel, Tom & Bektaş, Tolga & Laporte, Gilbert, 2013. "The time-dependent pollution-routing problem," Transportation Research Part B: Methodological, Elsevier, vol. 56(C), pages 265-293.
    3. Mirzapour Al-e-hashem, S.M.J. & Rekik, Yacine, 2014. "Multi-product multi-period Inventory Routing Problem with a transshipment option: A green approach," International Journal of Production Economics, Elsevier, vol. 157(C), pages 80-88.
    4. Demir, Emrah & Bektaş, Tolga & Laporte, Gilbert, 2014. "A review of recent research on green road freight transportation," European Journal of Operational Research, Elsevier, vol. 237(3), pages 775-793.
    5. Raeesi, Ramin & Zografos, Konstantinos G., 2019. "The multi-objective Steiner pollution-routing problem on congested urban road networks," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 457-485.
    6. Govindan, K. & Jafarian, A. & Khodaverdi, R. & Devika, K., 2014. "Two-echelon multiple-vehicle location–routing problem with time windows for optimization of sustainable supply chain network of perishable food," International Journal of Production Economics, Elsevier, vol. 152(C), pages 9-28.
    7. Seyed Mohammad Javad Mirzapour Al-E-Hashem & Yacine Rekik, 2014. "Multi-product multi-period inventory routing problem with a transshipment option : A green approach," Post-Print hal-02313081, HAL.
    8. Koç, Çağrı & Bektaş, Tolga & Jabali, Ola & Laporte, Gilbert, 2016. "The impact of depot location, fleet composition and routing on emissions in city logistics," Transportation Research Part B: Methodological, Elsevier, vol. 84(C), pages 81-102.
    9. Barth, Matthew & Younglove, Theodore & Scora, George, 2005. "Development of a Heavy-Duty Diesel Modal Emissions and Fuel Consumption Model," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt67f0v3zf, Institute of Transportation Studies, UC Berkeley.
    10. Dukkanci, Okan & Peker, Meltem & Kara, Bahar Y., 2019. "Green hub location problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 116-139.
    11. Xiao, Yiyong & Konak, Abdullah, 2016. "The heterogeneous green vehicle routing and scheduling problem with time-varying traffic congestion," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 88(C), pages 146-166.
    12. Wang, Yong & Peng, Shouguo & Zhou, Xuesong & Mahmoudi, Monirehalsadat & Zhen, Lu, 2020. "Green logistics location-routing problem with eco-packages," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    13. Franceschetti, Anna & Demir, Emrah & Honhon, Dorothée & Van Woensel, Tom & Laporte, Gilbert & Stobbe, Mark, 2017. "A metaheuristic for the time-dependent pollution-routing problem," European Journal of Operational Research, Elsevier, vol. 259(3), pages 972-991.
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