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Research on optimal hub location of agricultural product transportation network based on hierarchical hub-and-spoke network model

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  • Wang, Min
  • Cheng, Qing
  • Huang, Jincai
  • Cheng, Guangquan

Abstract

The optimal location of the hub of agricultural product transportation network is of great practical significance for improving the transportation efficiency and ensuring the freshness of agricultural products. The pure hierarchical hub-and-spoke transport network is used to model the agricultural products transportation, a genetic algorithm with two layers of chromosome coding is used to select the optimal hubs which ensure that all agricultural products are delivered on time and the total network cost is minimized. Moreover, sensitivity analysis was performed to explore the impact of the cost loss rate and delivery limit time on the location of hubs. Finally, the feasibility and advantages of our method were verified through the agricultural product transportation data of 48 states in the United States. The results shown that the total cost was reduced by 16.73% by compared with the direct routing transport. Through sensitivity analysis, it was found that when the cost loss rate decreased, the total transportation cost decreased, the number of hubs increased, and the ratio of hub cost to total transportation network cost increased. The experiments show that our model can effectively improve the efficiency of agricultural products transportation.

Suggested Citation

  • Wang, Min & Cheng, Qing & Huang, Jincai & Cheng, Guangquan, 2021. "Research on optimal hub location of agricultural product transportation network based on hierarchical hub-and-spoke network model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    • Handle: RePEc:eee:phsmap:v:566:y:2021:i:c:s0378437120307500
    DOI: 10.1016/j.physa.2020.125412
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    References listed on IDEAS

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    Cited by:

    1. Lei, Xinyue & Chen, Junlan & Zhu, Zhenjun & Guo, Xiucheng & Liu, Pei & Jiang, Xiaohong, 2022. "How to locate urban–rural transit hubs from the viewpoint of county integration?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
    2. Mohamed Amine Gargouri & Nadia Hamani & Nassim Mrabti & Lyes Kermad, 2021. "Optimization of the Collaborative Hub Location Problem with Metaheuristics," Mathematics, MDPI, vol. 9(21), pages 1-31, October.
    3. Yang, Yun & Ma, Changxi & Ling, Gang, 2022. "Pre-location for temporary distribution station of urban emergency materials considering priority under COVID-19: A case study of Wuhan City, China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 597(C).
    4. Feng Yang & Zhong Wu & Xiaoyan Teng & Shaojian Qu, 2022. "Robust Counterpart Models for Fresh Agricultural Product Routing Planning Considering Carbon Emissions and Uncertainty," Sustainability, MDPI, vol. 14(22), pages 1-17, November.
    5. Amirhossein Baghestani & Mohammadhossein Abbasi & Saeed Rastegar & Amir Reza Mamdoohi & Atoosa Afaghpoor & Mahmoud Saffarzadeh, 2023. "Logistics Village Location with Capacity Planning Problem, an MILP Model Approach," Sustainability, MDPI, vol. 15(5), pages 1-14, March.

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