Bei Jing Ri Bao Ke Hu Duan·2025-11-24 23:29Core Viewpoint - Zoomlion Heavy Industry Science and Technology Co., Ltd. has achieved significant advancements in intelligent manufacturing, particularly in the excavator production process, showcasing a new model of shared manufacturing in the construction machinery industry [3][7]. Group 1: Intelligent Manufacturing Achievements - The company has implemented a fully automated production line in its earth-moving machinery park, capable of producing an excavator every six minutes, utilizing 280 industrial robots and nearly 300 AGVs [2][3]. - The earth-moving machinery park is recognized as a "leading intelligent factory" by the Ministry of Industry and Information Technology, marking a significant milestone in the company's smart manufacturing journey [3][7]. - The facility can efficiently produce over 70 different models of excavators and allows for cross-product collaboration with cranes, pump trucks, and aerial work vehicles, establishing a new shared manufacturing model in the industry [3][7]. Group 2: Technological Innovations - The introduction of dual-column flipping robots has reduced the time to flip heavy components from 20 minutes to as fast as 3 minutes, enhancing safety and efficiency in the assembly process [5][6]. - The use of automated adhesive application has improved the uniformity of glue application, reducing the time required from 3 minutes with two workers to just 1 minute with one robot [5][6]. - The company has developed a unique fully automated track laying device, showcasing its commitment to innovation in manufacturing processes [5][6]. Group 3: Supply Chain and Operational Efficiency - The establishment of a "1-hour supply chain ecosystem" has significantly reduced emergency order response times from 48 hours to just 4 hours, leading to an 82% decrease in downtime due to material shortages and saving over 50 million yuan annually [7]. - The intelligent production lines in the earth-moving machinery park have achieved a 100% data collection rate for key processes, indicating a high level of operational efficiency [7]. Group 4: Future Developments - The company is investing in humanoid robot development, leveraging its expertise in heavy machinery to enhance automation in various manufacturing scenarios [9][10]. - The integration of AI and machine learning into the manufacturing process aims to create a self-evolving intelligent manufacturing paradigm, enhancing flexibility and efficiency [10][11]. - The future workforce will require skills in digital tools, human-robot collaboration, and data analysis, as the role of workers shifts from manual tasks to overseeing automated processes [11].