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Optimization of Cross-Border Logistics Network Cargo Flow Organization Considering Cargo Classification

In: Liss 2023

Author

Listed:
  • Anlin Li

    (Beijing Jiaotong University)

Abstract

In recent years, China’s cross-border logistics industry has developed rapidly. The increase in types of goods and the segmentation of the transportation industry market have led to significant differences in the sensitivity of various types of goods to time. In order to optimize the cargo flow organization and match the goods with the modes of transportation, a mixed integer programming model that considers the classification of goods is proposed to solve the optimal transportation plan for various types of export products in each city to optimize the current cargo flow organization ensures the rational use of transportation resources. The results show that the food processing industry and equipment manufacturing industry are more suitable for transportation by China Railway Express, while products from the metal smelting and metal product industries are more suitable for traditional shipping.

Suggested Citation

  • Anlin Li, 2024. "Optimization of Cross-Border Logistics Network Cargo Flow Organization Considering Cargo Classification," Lecture Notes in Operations Research, in: Daqing Gong & Yixuan Ma & Xiaowen Fu & Juliang Zhang & Xiaopu Shang (ed.), Liss 2023, pages 544-555, Springer.
    • Handle: RePEc:spr:lnopch:978-981-97-4045-1_42
    DOI: 10.1007/978-981-97-4045-1_42
    as

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