Research on the Construction of Supply Chains of Digital Twin Aquatic Products Using Artificial Intelligence

Digital twin (DT) can improve the efficiency of data processing, simulation, prediction, and strategy formulation, instrumental in enhancing the performance of aquatic product supply chains in data perception, real-time analysis, intelligent decision-making, and precise execution. The DT-based aquatic product supply chain model encompasses 5 layers: perception, data, operation, function, and application. When constructing the supply chain for aquatic products, the artificial intelligence technologies have to be integrated, and object twinning, process twinning, system twinning, and value chain twinning as 4 stages should be facilitated sequentially to make the supply chain more adaptable and resilient.