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Logistics Network Distribution Optimization Based on Vehicle Sharing

Author

Listed:
  • Tao Yang

    (School of Continuing Education, Chongqing University of Education, Chongqing 400067, China)

  • Weixin Wang

    (Research Centre for International Business and Economics, School of International Business and Management, Sichuan International Studies University, Chongqing 400031, China)

Abstract

The development of the sharing economy has provided new ideas for a vehicle-sharing urban logistics network cooperative distribution strategy. In view of the lack of dispatching capacity or transportation capacity of logistics enterprises with multiple distribution centers, this paper proposes a vehicle-sharing urban logistics network cooperative distribution strategy. Based on the comprehensive consideration of a multi-distribution center, multi-model, rental vehicle, load, speed, fuel consumption, and other factors, the calculation method of vehicle energy consumption is introduced, the network collaborative distribution model with vehicle sharing is established, and an adaptive genetic algorithm combined with a scanning algorithm is designed. Finally, the validity and reliability of the mathematical model and algorithm are validated and analyzed by an example. The research results show that vehicle sharing can improve the efficiency of the distribution network and effectively reduce costs.

Suggested Citation

  • Tao Yang & Weixin Wang, 2022. "Logistics Network Distribution Optimization Based on Vehicle Sharing," Sustainability, MDPI, vol. 14(4), pages 1-12, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:4:p:2159-:d:748979
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    References listed on IDEAS

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    Cited by:

    1. Zhao Zhang & Chun-Yan Xiao & Zhi-Guo Zhang, 2023. "Analysis and Empirical Study of Factors Influencing Urban Residents’ Acceptance of Routine Drone Deliveries," Sustainability, MDPI, vol. 15(18), pages 1-27, September.
    2. Zahra Sadat Hasanpour Jesri & Kourosh Eshghi & Majid Rafiee & Tom Van Woensel, 2022. "The Multi-Depot Traveling Purchaser Problem with Shared Resources," Sustainability, MDPI, vol. 14(16), pages 1-26, August.

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