Group 1 - The forum focused on the trends and hot topics of intelligent manufacturing under the new development pattern, aiming to promote high-quality development of the real economy [1] - The Ministry of Industry and Information Technology emphasized that intelligent manufacturing systems with self-perception, self-learning, self-decision-making, self-execution, and self-adaptive functions are expected to drive global industrial transformation [1] - Experts highlighted that data elements have become the core production material for intelligent manufacturing, and the deep integration of artificial intelligence with the entire manufacturing chain is accelerating the reconstruction of the industrial ecosystem [2] Group 2 - XCMG Group is focusing on end-to-end generative R&D, agile manufacturing, smart operations, and digital twin factory construction to enhance global customization and agile delivery capabilities in the engineering machinery sector [2] - Baosteel, as a leader in the global steel industry, is advancing through four stages of development towards an AI-driven predictive manufacturing paradigm, emphasizing green, low-carbon, and high-tech initiatives [3] - SAIC-GM-Wuling is transforming traditional assembly lines into reconfigurable manufacturing islands, achieving a 30% reduction in new product manufacturing investment and a 67% reduction in body changeover time [3] Group 3 - Rockwell Automation is actively promoting high-end, intelligent, and green manufacturing, focusing on digital intelligence and zero-carbon innovation to foster collaborative ecosystems within the industry [4] - The roundtable discussion highlighted the opportunities and challenges in intelligent manufacturing, emphasizing the need for technology implementation, industry collaboration, and scenario adaptation [8] - The continuous advancement towards high-end, intelligent, and green manufacturing in China is expected to accelerate the transition to mid-to-high-end manufacturing, contributing to global economic sustainability and industrial transformation [8]
政产学研共话智能制造,凝聚高质量发展合力 |虹桥论坛
Guo Ji Jin Rong Bao·2025-11-08 00:23