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数智协同推动制造业转型升级
Jing Ji Ri Bao· 2025-05-16 21:53
Core Viewpoint - The data from the Ministry of Industry and Information Technology indicates that China's digital product manufacturing industry sales revenue grew by 12% year-on-year in the first quarter, while smart device manufacturing sales revenue increased by 13.2%, reflecting the accelerated digital and intelligent transformation of the manufacturing sector [1] Group 1: Industry Transformation - Traditional manufacturing remains the backbone of China's manufacturing sector, with the added value of steel, non-ferrous metals, and machinery accounting for nearly 80% of total manufacturing, serving as a crucial material foundation for economic development and meeting people's needs [1] - The digitalization level of manufacturing has become a significant indicator of national technological strength and innovation capability, with a strategic focus on promoting the transformation and upgrading of manufacturing through digital intelligence [1] Group 2: Policy Support - Both central and local governments are actively promoting the transformation and upgrading of the manufacturing industry, with clear implementation paths in key areas [2] - Various national policies, such as the "Guiding Opinions on Accelerating the Transformation and Upgrading of Traditional Manufacturing" and "Digital Transformation Action Plan," have been introduced to enhance the comprehensive strength and digital intelligence level of the manufacturing sector [2] Group 3: Technological Integration - The integration of digital technologies like artificial intelligence and big data into traditional manufacturing can significantly improve production efficiency, reduce costs, and enhance product quality [3] - Some companies have successfully implemented industrial internet platforms and data-driven customization models, drastically lowering costs for customized products [3] Group 4: Challenges and Shortcomings - Current challenges in the digital transformation of manufacturing include inadequate top-level design, element circulation, enterprise awareness, and standardization [3] - Many enterprises lack a clear strategic goal and practical path for digital transformation, often equating it to merely purchasing automation equipment and software systems [3] Group 5: System and Mechanism Improvement - There is a need to improve the policy system to guide resources towards manufacturing, creating incentives for companies to embrace digital transformation [4] - Establishing a unified national market and a multi-level financial service system tailored to the manufacturing sector can facilitate efficient resource allocation and support [4] Group 6: Performance Evaluation - Enhancing the standardization level of digital intelligence collaboration is crucial for leading the transformation and upgrading of traditional industries [5] - A comprehensive evaluation system based on national standards should be established to monitor and assess the digital intelligence collaboration level in manufacturing [5]