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Route Planning of Supermarket Delivery through Third-Party Logistics Considering Carbon Emission Cost

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  • Xiao Pan

    (School of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang 050043, China)

  • Dongna Lu

    (School of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang 050043, China)

  • Ning Li

    (School of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang 050043, China)

Abstract

China’s policies about reducing carbon emissions mainly focus on saving energy and reducing pollutant emissions. However, the carbon emissions of the logistics industry remain high. Thus, logistics companies should not only reduce distribution costs, but also consider the impact of carbon emissions when planning distribution routes. This paper studies the supermarket delivery distribution route planning problem considering carbon emissions. Aiming at the lowest economic operating cost composed of fixed cost, driving cost, and carbon emission cost, we propose a grey wolf optimized genetic algorithm to generate delivery route plans, where the social rank and hunting behavior of the grey wolf optimization algorithm are integrated into the selection operation of the genetic algorithm. Finally, a real case of a large third-party logistics enterprise in Beijing is studied. The case study results verify the effectiveness and applicability of the model and algorithm.

Suggested Citation

  • Xiao Pan & Dongna Lu & Ning Li, 2024. "Route Planning of Supermarket Delivery through Third-Party Logistics Considering Carbon Emission Cost," Mathematics, MDPI, vol. 12(7), pages 1-18, March.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:7:p:1002-:d:1365215
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    References listed on IDEAS

    as
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    2. Pawel Sitek & Jarosław Wikarek, 2019. "Capacitated vehicle routing problem with pick-up and alternative delivery (CVRPPAD): model and implementation using hybrid approach," Annals of Operations Research, Springer, vol. 273(1), pages 257-277, February.
    3. Fatemeh Faraji & Behrouz Afshar-Nadjafi, 2018. "A bi-objective green location-routing model and solving problem using a hybrid metaheuristic algorithm," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 30(3), pages 366-385.
    4. Pietro Evangelista & Lodovico Santoro & Antonio Thomas, 2018. "Environmental Sustainability in Third-Party Logistics Service Providers: A Systematic Literature Review from 2000–2016," Sustainability, MDPI, vol. 10(5), pages 1-34, May.
    5. Maaike Hoogeboom & Yossiri Adulyasak & Wout Dullaert & Patrick Jaillet, 2021. "The Robust Vehicle Routing Problem with Time Window Assignments," Transportation Science, INFORMS, vol. 55(2), pages 395-413, March.
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