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Optimizing the Chilled Meat Supply Chain Based on Time and Temperature in Cold Chain Internet of Things
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Ruhe Xie1, Xiangchao Meng1, Yifeng Zou1, Guanghai Liu1, Jing Liao2, Jie Tang2
Journal of Refrigeration | 2025, 46(3) : 123 - 129
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Journal of Refrigeration | 2025, 46(3): 123-129
Optimizing the Chilled Meat Supply Chain Based on Time and Temperature in Cold Chain Internet of Things
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Ruhe Xie1, Xiangchao Meng1, Yifeng Zou1, Guanghai Liu1, Jing Liao2, Jie Tang2
Affiliations
  • 1.School of Management, Guangzhou University, Guangzhou, 510006, China
  • 2.School of Modern Logistics, Guangzhou Panyu Polytechnic, Guangzhou, 511483, China
Published: 2025-06-16 doi: 10.12465/j.issn.0253-4339.2025.03.123
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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.

cold chain  /  fresh food supply chain  /  freshness  /  time-temperature  /  perishable goods
Ruhe Xie, Xiangchao Meng, Yifeng Zou, Guanghai Liu, Jing Liao, Jie Tang. 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
Year 2025 volume 46 Issue 3
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Article Info
doi: 10.12465/j.issn.0253-4339.2025.03.123
  • Receive Date:2024-08-26
  • Online Date:2026-03-13
  • Published:2025-06-16
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History
  • Received:2024-08-26
  • Revised:2024-10-21
  • Accepted:2024-11-04
Affiliations
    1.School of Management, Guangzhou University, Guangzhou, 510006, China
    2.School of Modern Logistics, Guangzhou Panyu Polytechnic, Guangzhou, 511483, China

Corresponding:

Zou Yifeng, male, Ph. D., associate professor, School of Management, Guangzhou University, 86-13924225470, E-mail: . Research fields: transportation management, cold chain logistics.
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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