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Optimization of Location-Routing Problem in Emergency Logistics Considering Carbon Emissions

Author

Listed:
  • Ling Shen

    (College of Mechanical Engineering, Chongqing University, Chongqing 400044, China)

  • Fengming Tao

    (College of Mechanical Engineering, Chongqing University, Chongqing 400044, China
    School of Management Science and Real Estate, Chongqing University, Chongqing 400044, China)

  • Yuhe Shi

    (School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China)

  • Ruiru Qin

    (School of Aeronautic Science and Engineering, Beihang University, Beijing 100191, China)

Abstract

In order to solve the optimization problem of emergency logistics system, this paper provides an environmental protection point of view and combines with the overall optimization idea of emergency logistics system, where a fuzzy low-carbon open location-routing problem (FLCOLRP) model in emergency logistics is constructed with the multi-objective function, which includes the minimum delivery time, total costs and carbon emissions. Taking into account the uncertainty of the needs of the disaster area, this article illustrates a triangular fuzzy function to gain fuzzy requirements. This model is tackled by a hybrid two-stage algorithm: Particle swarm optimization is adopted to obtain the initial optimal solution, which is further optimized by tabu search, due to its global optimization capability. The effectiveness of the proposed algorithm is verified by the classic database in LRP. What’s more, an example of a post-earthquake rescue is used in the model for acquiring reliable conclusions, and the application of the model is tested by setting different target weight values. According to these results, some constructive proposals are propounded for the government to manage emergency logistics and for the public to aware and measure environmental emergency after disasters.

Suggested Citation

  • Ling Shen & Fengming Tao & Yuhe Shi & Ruiru Qin, 2019. "Optimization of Location-Routing Problem in Emergency Logistics Considering Carbon Emissions," IJERPH, MDPI, vol. 16(16), pages 1-18, August.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:16:p:2982-:d:259028
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    References listed on IDEAS

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    Cited by:

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    2. Feiyue Wang & Ziling Xie & Zhongwei Pei & Dingli Liu, 2022. "Emergency Relief Chain for Natural Disaster Response Based on Government-Enterprise Coordination," IJERPH, MDPI, vol. 19(18), pages 1-22, September.
    3. Hailin Wu & Fengming Tao & Bo Yang, 2020. "Optimization of Vehicle Routing for Waste Collection and Transportation," IJERPH, MDPI, vol. 17(14), pages 1-26, July.
    4. 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.
    5. Lin Lu & Song Hu & Yuelin Ren & Kai Kang & Beibei Li, 2022. "Research on Extension Design of Emergency Cold Chain Logistics from the Perspective of Carbon Constraints," Sustainability, MDPI, vol. 14(15), pages 1-21, July.
    6. Qingqing Qiao & Fengming Tao & Hailin Wu & Xuewei Yu & Mengjun Zhang, 2020. "Optimization of a Capacitated Vehicle Routing Problem for Sustainable Municipal Solid Waste Collection Management Using the PSO-TS Algorithm," IJERPH, MDPI, vol. 17(6), pages 1-22, March.
    7. Fang Xu & Yifan Ma & Chang Liu & Ying Ji, 2024. "Emergency Logistics Facilities Location Dual-Objective Modeling in Uncertain Environments," Sustainability, MDPI, vol. 16(4), pages 1-34, February.

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