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Research on Cold Chain Logistics Transportation Scheme under Complex Conditional Constraints

Author

Listed:
  • Bin Xu

    (School of Shipping Economics and Management, Dalian Maritime University, Dalian 116026, China)

  • Jie Sun

    (School of Shipping Economics and Management, Dalian Maritime University, Dalian 116026, China)

  • Zhiming Zhang

    (School of Shipping Economics and Management, Dalian Maritime University, Dalian 116026, China)

  • Rui Gu

    (School of Shipping Economics and Management, Dalian Maritime University, Dalian 116026, China)

Abstract

A mathematical model is proposed to minimize the sum of vehicle fixed cost, fuel cost, carbon-emission cost, cooling cost, time-penalty cost and split-compensation cost, on the basis of considering the three-level cold-chain-logistics network of manufacturer, distribution center, and seller. The model is constructed based on the constraints of customer time window, vehicle load, demand-splitable, and semi-open driving of multiple distribution centers. We to divide the customer areas according to geographical locations and to carry out the transportation processes in stages. The target solution, which includes vehicle routing, service time and type, cargo details, etc., has been formulated. A two-stage hybrid-heuristic-path-scheme solution algorithm that combines a taboo table, a genetic algorithm, an optimal-path-generation algorithm, a load-capacity-constraint algorithm, and a time-window-constraint algorithm is designed in view of the complexity of the model and the uniqueness of the solution scheme. This paper aims to reasonably plan the resource allocation of cold chain logistics enterprises, reduce the comprehensive cost of cold chain transportation, improve customer satisfaction, and respond to the green logistics policy advocated by the state by reducing vehicle transit time and fuel consumption, and promote energy conservation and emission reduction.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:8431-:d:1153097
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    References listed on IDEAS

    as
    1. 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.
    2. Gaoyuan Qin & Fengming Tao & Lixia Li, 2019. "A Vehicle Routing Optimization Problem for Cold Chain Logistics Considering Customer Satisfaction and Carbon Emissions," IJERPH, MDPI, vol. 16(4), pages 1-17, February.
    3. Haiou Xiong & Tingsong Wang, 2021. "Research on Cold Chain Logistics Distribution Route Based on Ant Colony Optimization Algorithm," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-10, May.
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