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Research on the Time-Dependent Vehicle Routing Problem for Fresh Agricultural Products Based on Customer Value

Author

Listed:
  • Daqing Wu

    (College of Economics and Management, Shanghai Ocean University, Shanghai 201306, China
    Department of Nanchang Technology, Economic and Technological Development Zone, 901 Yingxiong Dadao, Nanchang 330044, China)

  • Jiyu Li

    (College of Economics and Management, Shanghai Ocean University, Shanghai 201306, China)

  • Jiye Cui

    (College of Economics and Management, Shanghai Ocean University, Shanghai 201306, China)

  • Dong Hu

    (College of Continuing Education, Shanghai Jianqiao University, Shanghai 202151, China)

Abstract

With continuous improvements in people’s consumption levels, consumers’ demands for safe and fresh agricultural products increase. The increase in the number of vehicles and serious congestion on roads has led to problems, such as the weak timeliness of urban cold chain logistics, high carbon emissions, low customer value and reduced customer satisfaction. In this study, carbon emissions, customer satisfaction, customer value and cost are considered, and an optimization algorithm is established to solve the time-dependent vehicle routing problem in urban cold chain logistics. For road congestion at different time periods during the cold chain distribution process, the segment function is used to express the vehicle speed. According to the characteristics of the model, considering the constraints of the time window and vehicle capacity, an improved NSGA-II algorithm with the local optimization characteristics of the greedy algorithm (G-NSGA-II) is proposed, and the sorting fitness strategy is optimized. In addition, we carry out a series of experiments on existing vehicle routing problem examples and analyze them in a real background to evaluate and prove the effectiveness of the proposed model and algorithm. The experiment results show that the proposed approach effectively reduces the total cost, enhances customer value and promotes the long-term development of logistics companies.

Suggested Citation

  • Daqing Wu & Jiyu Li & Jiye Cui & Dong Hu, 2023. "Research on the Time-Dependent Vehicle Routing Problem for Fresh Agricultural Products Based on Customer Value," Agriculture, MDPI, vol. 13(3), pages 1-23, March.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:3:p:681-:d:1097346
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    References listed on IDEAS

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    Cited by:

    1. Yingdan Zhang & Xuemei Fan & Yingying Cao & Jiahui Xue, 2024. "Exploring Symbiosis: Innovatively Unveiling the Interplay between the Cold Chain Logistics of Fresh Agricultural Products and the Ecological Environment," Agriculture, MDPI, vol. 14(4), pages 1-21, April.
    2. Garside, Annisa Kesy & Ahmad, Robiah & Muhtazaruddin, Mohd Nabil Bin, 2024. "A recent review of solution approaches for green vehicle routing problem and its variants," Operations Research Perspectives, Elsevier, vol. 12(C).
    3. Wen Li & Chenying Liu & Qizhi Yang & Yulan You & Zhihang Zhuo & Xiaolin Zuo, 2023. "Factors Influencing Farmers’ Vertical Collaboration in the Agri-Chain Guided by Leading Enterprises: A Study of the Table Grape Industry in China," Agriculture, MDPI, vol. 13(10), pages 1-14, September.
    4. Shuangli Pan & Huiyu Liao & Guijun Zheng & Qian Huang & Maozhuo Shan, 2024. "Cold Chain Distribution Route Optimization for Mixed Vehicle Types of Fresh Agricultural Products Considering Carbon Emissions: A Study Based on a Survey in China," Sustainability, MDPI, vol. 16(18), pages 1-22, September.
    5. Ivana Semanjski & Sidharta Gautama, 2024. "Sustainable Time-Dependent Cheapest Path Problem with Integrated Collaborative Stakeholders’ Perspectives," Sustainability, MDPI, vol. 16(9), pages 1-19, April.
    6. Vadim Bolshev & Vladimir Panchenko & Alexey Sibirev, 2023. "Engineering Innovations in Agriculture," Agriculture, MDPI, vol. 13(7), pages 1-4, June.

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