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Optimization Model and Algorithm of Logistics Vehicle Routing Problem under Major Emergency

Author

Listed:
  • Kangye Tan

    (School of Business, Macau University of Science and Technology, Macao 999078, China)

  • Weihua Liu

    (School of Business, Macau University of Science and Technology, Macao 999078, China)

  • Fang Xu

    (School of National Safety and Emergency Management, Beijing Normal University at Zhuhai, Zhuhai 519087, China)

  • Chunsheng Li

    (School of Business, Macau University of Science and Technology, Macao 999078, China)

Abstract

The novel coronavirus pandemic is a major global public health emergency, and has presented new challenges and requirements for the timely response and operational stability of emergency logistics that were required to address the major public health events outbreak in China. Based on the problems of insufficient timeliness and high total system cost of emergency logistics distribution in major epidemic situations, this paper takes the minimum vehicle distribution travel cost, time cost, early/late punishment cost, and fixed cost of the vehicle as the target, the soft time window for receiving goods at each demand point, the rated load of the vehicle, the volume, maximum travel of the vehicle in a single delivery as constraints, and an emergency logistics vehicle routing problem optimization model for major epidemics was constructed. The convergence speed improvement strategy, particle search improvement strategy, and elite retention improvement strategy were introduced to improve the particle swarm optimization (PSO) algorithm for it to be suitable for solving global optimization problems. The simulation results prove that the improved PSO algorithm required to solve the emergency medical supplies logistics vehicle routing problem for the major emergency can reach optimal results. Compared with the basic PSO algorithm, the total cost was reduced by 20.09%.

Suggested Citation

  • Kangye Tan & Weihua Liu & Fang Xu & Chunsheng Li, 2023. "Optimization Model and Algorithm of Logistics Vehicle Routing Problem under Major Emergency," Mathematics, MDPI, vol. 11(5), pages 1-18, March.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:5:p:1274-:d:1089254
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    References listed on IDEAS

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    Cited by:

    1. Rui Song & Wanen Qin & Wen Shi & Xingjian Xue, 2023. "Optimizing Freight Vehicle Routing in Dynamic Time-Varying Networks with Carbon Dioxide Emission Trajectory Analysis," Sustainability, MDPI, vol. 15(21), pages 1-24, October.
    2. Xinhua Gao & Song Liu & Yan Wang & Dennis Z. Yu & Yong Peng & Xianting Ma, 2024. "Consideration of Carbon Emissions in Multi-Trip Delivery Optimization of Unmanned Vehicles," Sustainability, MDPI, vol. 16(6), pages 1-26, March.
    3. Cong Wang & Zhongxiu Peng & Wenqing Xu, 2023. "Robust Bi-Level Optimization for Maritime Emergency Materials Distribution in Uncertain Decision-Making Environments," Mathematics, MDPI, vol. 11(19), pages 1-30, September.
    4. Changlu Zhang & Liqian Tang & Jian Zhang & Liming Gou, 2023. "Optimizing Distribution Routes for Chain Supermarket Considering Carbon Emission Cost," Mathematics, MDPI, vol. 11(12), pages 1-20, June.
    5. Nur Insani & Sona Taheri & Mali Abdollahian, 2024. "A Mathematical Model for Integrated Disaster Relief Operations in Early-Stage Flood Scenarios," Mathematics, MDPI, vol. 12(13), pages 1-22, June.
    6. Yinghui Wu & Haoran Du & Huixin Song, 2024. "An Iterated Local Search Heuristic for the Multi-Trip Vehicle Routing Problem with Multiple Time Windows," Mathematics, MDPI, vol. 12(11), pages 1-16, May.

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