Abstract: Chinese steel companies face challenges such as technological innovation, product competitiveness, and green and low-carbon development. Intelligent manufacturing has become the key to promoting corporate transformation and upgrading. Through an in-depth analysis of the concept, connotation, and system architecture of intelligent manufacturing in steel enterprises, focusing on the optimization of the entire process of intelligent manufacturing, starting from the key processes of order processing in steel enterprises, a coil cutting algorithm is proposed to optimize the blanking plan. The width range of the cutting coil can be specified, and the needs of sheet and coil orders can be considered for layout, with the goal of minimizing cutting loss and improving the utilization rate, consistency and flexibility of coil processing in steel enterprises. The effectiveness of the algorithm was verified through random simulation experiments and literature experimental examples. The random experiment results showed that the optimized blanking utilization rate was above 97%, which was significantly better than the traditional manual calculation method and greatly shortened the layout time. At the same time The experimental results on literature examples are also higher than those of the comparative algorithms and the cutting operation cost is lower. With the application of intelligent optimization of coil cutting, it will help promote technological progress and industrial upgrading of the entire steel industry.