Zhileng xuebao (Jan 2025)
Research on Optimization of Chilled Meat Supply Chain Based on Time-Temperature in Cold Chain Internet of Things
Abstract
With the development of cold chain Internet of Things technology, real-time temperature monitoring and data sharing have become important means of improving the efficiency of chilled meat supply chain management. In this paper, a time-temperature coordination optimization strategy based on cold chain Internet of Things is proposed to enhance the operational efficiency of the chilled meat supply chain. First, based on predictive microbiology and system reliability theory, the effects of time and temperature on the quality of chilled meat were analyzed, and a quality change model was constructed. Next, through experimental analysis, an energy consumption model for the cold fresh meat supply chain was developed, and the preservation costs of each stage were quantified. It was found that there is an optimal freshness level in the chilled meat supply chain that maximizes supply chain benefits. Further analysis revealed that when the freshness level at a stage deviates from this optimal level, the supply chain benefits can still be maximized by adjusting the time and temperature in subsequent stages. Finally, the chilled chicken supply chain was used as a case study to explore the time-temperature coordination optimization strategy based on cold chain Internet of Things, providing a reference for improving the management efficiency of chilled meat supply chains.
