Integrated Optimization Method for the Full Process Design and Production of Cultural and Creative Products Based on Intelligent Manufacturing
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Abstract
This article proposes an integrated optimization method for full process design and production based on intelligent manufacturing to address the core contradictions of multiple varieties, small batches, high customization of cultural and creative products, and the disconnection from traditional design and production processes, high costs, long cycles, and unstable quality. Using digital twins, AIGC, CPS (Cyber Physical Systems), and flexible manufacturing as the core technologies, an integrated technical framework is constructed that includes intelligent requirement analysis, generative creative design, virtual verification, automated process planning, dynamic production scheduling, and a data -driven closed-loop for quality lifecycle control.
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