This invention relates to the field of
tire manufacturing technology, and in particular to a digital twin
system and method for tire production, comprising: a
multimodal data acquisition layer, a holographic quality archive construction layer, an intelligent matching and decision optimization layer, a flexible sorting execution layer, and a data service and interaction platform. It completely breaks down data silos, establishing a complete and structured digital twin archive for each tire, improving
management quality. Furthermore, the
system no longer performs simple binary judgments, but instead seeks the optimal match between tires and orders, maximizing the satisfaction of personalized customer needs and significantly enhancing product added value and customer satisfaction. Secondly, through a multi-objective optimization
algorithm, it can comprehensively consider
multiple factors such as inventory, order priority, and sorting efficiency to achieve intelligent scheduling and optimal allocation of tire inventory, reducing the waste of high-quality tires and the ineffective inventory of substandard tires, thereby improving overall operational efficiency.