Advances in the Development of a Digital Twin to Empower the Pre-prepared Cold Food Chain
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Abstract:
The COVID-19 pandemic and stay-at-home economy have contributed to a new consumer trend of “convenience dining,” as represented by pre-prepared foods. Digital technologies have given rise to new application and value creation scenarios, driven innovation across operations, processes, and organizational management, and empowered industrial upgrading. Thus, problems related to the lack of pre-cooling at the origin and poor information in the cold supply chain for pre-prepared foods in China were analyzed, including insufficient cold chain support facilities, irregular cold chain operations, last-mile distribution, and sales losses. The digital twin model can simulate and predict changes in the quality of pre-prepared foods during the cold chain process, while the introduction of technologies such as the Internet of Things and blockchain can enable transport monitoring and the traceability of products. This study proposes leveraging digital twin technology to establish a digital cold chain tracking and tracing system for pre-prepared foods. It aims to develop supply, digital, trust, and benefit chains within the cold pre-prepared food supply chain, exploring a digital pathway tailored to the development of pre-prepared foods in China. Ultimately, this initiative seeks to drive digital transformation and industrial development within the pre-prepared foods and cold supply chain sector.
