Digital transformation and upgrading of equipment manufacturing in China

The overall scale of China's manufacturing industry has remained the world's largest for 15 consecutive years, playing an irreplaceable role in driving economic development and participating in international competition. I am very concerned about the transformation and upgrading of the manufacturing industry. In 2024, I visited 218 enterprises covering more than 10 provinces and learned that many places have made good explorations in digital transformation.

Digital transformation has driven enterprises to reduce costs, improve quality, and increase efficiency. Specifically, costs in various aspects such as manpower, logistics, and warehousing have decreased; After digital transformation, the stability of product quality has improved; The delivery time of the product has been significantly shortened, with the highest percentage reaching 30% among the companies I researched, indicating significant results.

In the past two years, I have submitted multiple proposals on topics such as the digital and intelligent transformation of the manufacturing industry and the vigorous promotion of new industrialization. This year, my focus is on promoting artificial intelligence to empower the manufacturing industry. The digital transformation has restructured the allocation structure of production factors in enterprises, providing the basic conditions for the integration of artificial intelligence and manufacturing. I believe that strengthening "artificial intelligence+manufacturing" will be the trend of the industry.

Currently, various new scenarios and applications of artificial intelligence are constantly emerging. I suggest that government departments timely introduce targeted policy measures to create industry models and scenario models that meet the needs of the manufacturing industry. At the same time, support leading manufacturing enterprises, prioritize starting from areas with high potential value and low upgrade risks, select AI technologies and solutions with good scalability, and gradually expand to the entire production process, building demonstration benchmark enterprises.