Leading the trend of intelligent transformation: How to deal with traditional forging enterprises? Traditional forging enterprises are facing great challenges in intelligent transformation, but also contain great opportunities. The following are some countermeasures: 1. Intensify technological innovation and research and development. Traditional forging enterprises need to strengthen technological innovation, especially in the fields of digitalization, intelligence, automation and other technical improvement and research and development investment. Through simulation technology, robotics, cloud computing and Internet of Things technology, we continuously improve product quality and production efficiency. 2. Introduce advanced equipment and technology. Traditional forging enterprises need to introduce more advanced and efficient forging equipment and technology, including CNC machine tools, intelligent welding equipment, laser cutting equipment, etc., to make the manufacturing process more intelligent and automated, and greatly improve production efficiency and product quality. 3. Build system integration capability. With the rapid development of information technology, traditional forging enterprises need to combine the existing forging production process with digital technology and intelligent equipment, establish a complete and efficient production and manufacturing system, and achieve competitive advantages in lean production management and extreme user experience. 4. Strengthen personnel training. Traditional forging enterprises need to cultivate a high-quality and strong technical team, including design, production, maintenance and management talents, so that they can cope with the rapid technological changes and market demand changes, and continue to create value for the company. In short, traditional forging enterprises need to keep up with the pace of The Times, actively respond to the challenges and opportunities brought by intelligent transformation, and strengthen investment and measures in technological innovation, equipment introduction, system integration and talent training, so as to achieve the transformation and upgrading of intelligent manufacturing.
