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Cold Chain Logistics Distribution Path Planning of Fresh Products in Beijing Subcenter

Author

Listed:
  • Feng Li

    (School of Information, Beijing Wuzi University, Beijing 101149, China)

  • Wenjing Ai

    (School of Information, Beijing Wuzi University, Beijing 101149, China)

  • Tianli Ju

    (School of Information, Beijing Wuzi University, Beijing 101149, China)

Abstract

With the gradual development of a capital city subcenter, numerous residents gradually move to the subcenter, increasing the demand for fresh food. Thus, an adequate supply of fresh food to the subcenter should be guaranteed, while reducing the logistics costs, maintaining the quality and quantity, complying with sustainable development, and cooperating with the city to complete the food basket logistics and distribution. Accordingly, we propose the optimization of logistics distribution paths for fresh products. After field research, we found that the main fresh product distribution point in the Beijing subcenter is the Baliqiao wholesale market, one of Beijing’s vegetable basket projects, and the main distribution targets are large- and medium-sized markets in the subcenter. We optimize a fresh food distribution path model using minimum total cost and carbon emissions as the objective function according to the layout of the subcenter, and the best path is determined using improved ant colony optimization. The optimization results provide a basis for fresh food distribution in the capital city subcenter. We use scientific methods to analyze the travel routes of vehicles transporting fresh products in the subcenter to obtain the best distribution path for logistics companies, aiming to reduce the waste of resources and pollution to the environment by reducing the overall distribution costs and carbon emissions. Therefore, this type of study can benefit logistics companies and the subcenter population while contributing to sustainable development.

Suggested Citation

  • Feng Li & Wenjing Ai & Tianli Ju, 2022. "Cold Chain Logistics Distribution Path Planning of Fresh Products in Beijing Subcenter," Sustainability, MDPI, vol. 14(17), pages 1-25, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:17:p:10622-:d:897920
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    References listed on IDEAS

    as
    1. Zhixue Zhao & Xiamiao Li & Xiancheng Zhou, 2020. "Distribution Route Optimization for Electric Vehicles in Urban Cold Chain Logistics for Fresh Products under Time-Varying Traffic Conditions," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-17, October.
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    4. G. B. Dantzig & J. H. Ramser, 1959. "The Truck Dispatching Problem," Management Science, INFORMS, vol. 6(1), pages 80-91, October.
    5. Miao, Jie & Liu, Aijun & Wang, Ruiyao & Lu, Hui, 2022. "The influence of information asymmetry on the strategic inventory of deteriorating commodity," Omega, Elsevier, vol. 107(C).
    6. Chun-Li Wang & Yang Wang & Ze-Yu Zeng & Cheng-Yu Lin & Qiu-Li Yu & Muhammad Javaid, 2021. "Research on Logistics Distribution Vehicle Scheduling Based on Heuristic Genetic Algorithm," Complexity, Hindawi, vol. 2021, pages 1-8, August.
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    Cited by:

    1. Bin Xu & Jie Sun & Zhiming Zhang & Rui Gu, 2023. "Research on Cold Chain Logistics Transportation Scheme under Complex Conditional Constraints," Sustainability, MDPI, vol. 15(10), pages 1-28, May.

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