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1.广州大学管理学院 广州 510006
2.广州番禺职业技术学院现代物流学院 广州 511483
Zou Yifeng, male, Ph. D., associate professor, School of Management, Guangzhou University, 86-13924225470, E-mail: zouyifen@gzhu.edu.cn. Research fields: transportation management, cold chain logistics.
Received:26 August 2024,
Revised:21 October 2024,
Accepted:04 November 2024,
Published:16 June 2025
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Xie Ruhe, Meng Xiangchao, Zou Yifeng, et al. Optimizing the Chilled Meat Supply Chain Based on Time and Temperature in Cold Chain Internet of Things[J]. Journal of refrigeration, 2025, 46(3): 123-129.
Xie Ruhe, Meng Xiangchao, Zou Yifeng, et al. Optimizing the Chilled Meat Supply Chain Based on Time and Temperature in Cold Chain Internet of Things[J]. Journal of refrigeration, 2025, 46(3): 123-129. DOI: 10.12465/j.issn.0253-4339.2025.03.123.
随着冷链物联网技术的发展,实时温度监控和数据共享已成为提升冷鲜肉供应链管理效率的重要手段。通过提出一种基于冷链物联网的时间-温度协调优化策略来提升冷鲜肉供应链的运营效率。基于预测微生物学和系统可靠性理论,研究了时间和温度对冷鲜肉品质变化的影响,构建了冷鲜肉的品质变化模型和冷鲜肉供应链的能耗模型,并以冷鲜鸡供应链为案例进行分析。研究表明:冷鲜肉供应链中存在一个最佳的新鲜度水平,能够使供应链效益达到最大化;当某一环节的新鲜度偏离该最佳新鲜度水平,可通过后续环节调整时间和温度,实现供应链效益的最大化。
With the development of cold chain Internet of Things (IoT) technology
real-time temperature monitoring and data sharing have become important means to improve the efficiency of chilled meat supply chain management. In this paper
a strategy for optimizing time and temperature coordination based on the cold chain IoT was proposed to improve the operational efficiency of the chilled meat supply chain. Based on predictive microbiology and system reliability theory
this study investigated the effects of time and temperature on the quality of chilled meat. A quality-change model for chilled meat and an energy consumption model for the chilled meat supply chain were developed. To illustrate this approach
a case study of a chilled chicken supply chain was conducted. The findings revealed that there is an optimal level of freshness in the chilled meat supply chain that maximizes the benefits of the supply chain. If the freshness level in one stage deviates from this optimal value
subsequent stages can adjust the time and temperature to achieve maximum supply chain efficiency.
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