Dynamic scheduling and optimization of intelligent manufacturing production lines based on digital twins

With the digital transformation of the manufacturing industry, intelligent manufacturing production lines have become the key to improving production efficiency and competitiveness. This article explores the dynamic scheduling and optimization methods of intelligent manufacturing production lines based on digital twins. By constructing a digital twin model, the real-time status of the production line is accurately mapped, dynamic scheduling decisions are made using real-time data, and optimization algorithms are used to continuously improve the scheduling plan. Research has shown that this method can effectively address various uncertainties in the production line and improve equipment utilization Shorten the production cycle and provide strong support for the efficient operation of intelligent manufacturing.