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Network Optimization of Fresh Products Cold Chain Considering Supply Disruption and Demand Fluctuation Under the Dual-Carbon Policy

Author

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  • Haojie Ran

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

  • Dichen He

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

  • Huajun Tang

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

Abstract

Against global industrial upgrading and China’s “dual-carbon” policy, the cold chain for fresh products faces numerous challenges such as supply disruptions, demand fluctuations, and low-carbon transformation. This study focuses on introducing the key optimization goals of the cold chain network for fresh products: maximizing the service level while minimizing operating costs and carbon emissions. To this end, this study proposes a high-dimensional multi-objective optimization model for the cold chain network of fresh products and designs four resilience strategies to address supply disruption and demand fluctuation scenarios. To solve this model, this study innovatively designs a hybrid algorithm combining neighborhood search and swarm intelligence, integrating the advantages of local exploration and global optimization to balance the relationships among multiple objectives efficiently. In addition, this study conducts a real-world case analysis to verify the effectiveness of the proposed model and the algorithm. Furthermore, by deeply exploring the comprehensive impacts of supply disruptions and demand fluctuations on the cold chain network for fresh products, the mechanism of action of resilience strategies in dealing with supply chain risks is highlighted. The research results provide valuable decision-making support for fresh cold chain enterprises to develop resilient and low-carbon network optimization strategies for cost reduction, efficiency improvement, and sustainable development.

Suggested Citation

  • Haojie Ran & Dichen He & Huajun Tang, 2025. "Network Optimization of Fresh Products Cold Chain Considering Supply Disruption and Demand Fluctuation Under the Dual-Carbon Policy," Mathematics, MDPI, vol. 13(9), pages 1-44, May.
    • Handle: RePEc:gam:jmathe:v:13:y:2025:i:9:p:1539-:d:1650942
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    References listed on IDEAS

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    1. Yong Peng & Yali Zhang & Dennis Z. Yu & Yijuan Luo, 2024. "Multiobjective Route Optimization for Multimodal Cold Chain Networks Considering Carbon Emissions and Food Waste," Mathematics, MDPI, vol. 12(22), pages 1-27, November.
    2. Armin Jabbarzadeh & Behnam Fahimnia & Fatemeh Sabouhi, 2018. "Resilient and sustainable supply chain design: sustainability analysis under disruption risks," International Journal of Production Research, Taylor & Francis Journals, vol. 56(17), pages 5945-5968, September.
    3. Alikhani, Reza & Torabi, S.Ali & Altay, Nezih, 2021. "Retail supply chain network design with concurrent resilience capabilities," International Journal of Production Economics, Elsevier, vol. 234(C).
    4. Hanieh Shekarabi & Mohammad Mahdi Vali-Siar & Ashkan Mozdgir, 2024. "Food supply chain network design under uncertainty and pandemic disruption," Operational Research, Springer, vol. 24(2), pages 1-37, June.
    5. Reza Alikhani & S.Ali Torabi & Nezih Altay, 2021. "Retail supply chain network design with concurrent resilience capabilities," Post-Print hal-03539192, HAL.
    6. Benyamin Moghaddasi & Amir Salar Ghafari Majid & Zahra Mohammadnazari & Amir Aghsami & Masoud Rabbani, 2023. "A green routing-location problem in a cold chain logistics network design within the Balanced Score Card pillars in fuzzy environment," Journal of Combinatorial Optimization, Springer, vol. 45(5), pages 1-33, July.
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