As a representative of the cultural enterprises above the scale in Shazhao Street, Yinhe Color Printing built its factory in 2019, covering an area of 200 acres, and has been cooperating with well-known enterprises such as Mengniu, Yili, and China Tobacco for a long time. In 2024, the company aimed at the huge potential of the home appliance packaging market and invested 20 million yuan to introduce two brand-new production lines, specializing in the production of packaging boxes for large household appliances such as Midea, Xiaomi, and TCL, and carried out technological transformation of old equipment, achieving full-process automation from "cardboard in to finished products out".
The difference before and after the technological transformation is not only reflected in the improvement of production efficiency, but also in the stability of product quality. In the past, a large amount of manual handling, positioning and inspection were required on the production line, which was inefficient and prone to errors; now, automated equipment accurately completes each process, significantly improving the consistency of products. The Galaxy Color Printing can start producing an order in just ten minutes from the commissioning, with a connection speed of 120-160 pieces per minute, and it is no problem to produce 100,000 cartons per day. This year, the company has invested about 18 million yuan in equipment renewal and technological transformation, increasing production capacity by 40%, and four lines are running simultaneously, greatly improving production efficiency and the stability of product quality.
The introduction of intelligent management has further improved the operational efficiency and decision-making scientificity of the enterprise. The company has introduced the MES intelligent production management system, which has realized real-time data collection and visualized management. Production supervisors can monitor the operation status, output and efficiency indicators of each equipment in the office, and promptly detect and solve problems in production, providing strong data support for enterprise decision-making.