On May 27, the Ministry of Industry and Information Technology, National Development and Reform Commission, and National Data Bureau jointly issued the Digital Transformation Implementation Plan for Electronic Information Manufacturing (hereinafter referred to as the Plan), defining the path for industrial intelligent upgrading. As an enterprise in the electronic components field, FOSAN Technology responds to policy orientations through dual practices of technological research and scenario implementation.
The Plan clearly states that by 2027, the CNC (computer numerical control) rate of key processes in above-scale enterprises should exceed 85%, and form more than 100 typical scenario solutions and a resource pool of specialized service providers. By 2030, it will build industrial databases and intelligent product matrices to drive the industry's climb to the high end of the global value chain.
As a strategic industry of the national economy, China's electronic information manufacturing achieved an operating income of 16.19 trillion yuan in 2024 (data source: MIIT 2024 Industry Report). FOSAN Technology has achieved an 82% CNC rate in key processes of electronic component manufacturing and is accelerating the upgrading of intelligent production lines to strive for the world's leading industry level.
Key Core Technology Research
The Plan proposes adopting a "challenger selection" mechanism to break through key transformation technologies and encourages industry-university-research cooperation to build innovation platforms. FOSAN Technology has 联合 (collaborated with) university research teams to tackle key problems in digital design and intelligent detection of high-precision resistive components, achieving a 99.8% defect recognition rate, which strongly improves the accuracy and efficiency of product quality inspection.
Promotion of Advanced General Technologies
In the application of advanced computing, artificial intelligence, virtual reality and other technologies, FOSAN Technology has introduced new-generation advanced highly automated equipment to achieve high automation and intelligence in the production process, improving production efficiency and product quality. These devices realize highly automated and intelligent operation in the production process, greatly improving production efficiency and product quality.
Empowerment by Industry-wide Large Models
The Plan emphasizes building industry-level and scenario-level large models. Based on its own manufacturing data accumulation, FOSAN Technology is collaborating with industry partners to explore the research and development of large models in the field of electronic components, and has completed the annotation of tens of thousands of core process data. Currently, it focuses on promoting the development of equipment fault prediction models. Through real-time collection and analysis of production line sensor data, the accuracy of equipment downtime early warning has been gradually improved.
Implementation of Typical Scenarios
The Plan releases 15 typical scenarios, including digital collaborative R&D, production process optimization, supply chain risk management, and electronic information products empowering the construction of new information infrastructure. FOSAN Technology has achieved data interconnection with upstream and downstream enterprises in supply chain collaboration. Through the intelligent scheduling system, it has shortened the order delivery cycle and effectively improved the overall operation efficiency of the supply chain.
Deepen digital production transformation with three major systems:
Kingdee ERP System: Breaks down data barriers between business and finance, automatically generating vouchers from order to payment. Cost accounting efficiency is increased by 30%, and analysis accuracy reaches 99%, assisting in resource optimization and efficient decision-making.
MES System: Monitors production orders and equipment status in real time, enabling full-link data traceability from material distribution to process flow. Through real-time collection and analysis of production data, it provides decision-making basis for management, driving an 8% increase in production efficiency.
WMS System: Achieves automated warehouse management, automatically allocates storage locations, and implements a first-in-first-out strategy, increasing inventory turnover by 10% and logistics efficiency by 5%.