Zoomlion Recognized as a Leading Smart Factory at the Global Intelligent Manufacturing Conference 2025
At the World Intelligent Manufacturing Conference held on November 27, 2025, Zoomlion Heavy Industry Science & Technology Co., Ltd. (stock number: 1157.HK) earned recognition as one of the top 15 leading smart factories in the industry. This accolade reflects the company's breakthrough in collaborative mixed production for multiple types of heavy machinery, thereby creating a collaborative smart factory cluster for construction equipment. By integrating flexibility, scalability, and automation, Zoomlion's production model sets a new benchmark for the digital and intelligent transformation of the industry.
The company has notably tackled a significant challenge faced by the sector — efficiently manufacturing heavy equipment in small quantities with varied models on a shared mixed production line. Within its Smart Industrial City, Zoomlion constructed a collaborative intelligent excavator factory, achieving three globally unique milestones. It became the first company to implement comprehensive intelligent manufacturing across six core phases, operate a mixed production line for over 100 models, and integrate collaborative production across multiple equipment categories.
This shared manufacturing model supports a modular, highly scalable cluster for construction machinery, designed for interoperability that encompasses key equipment categories and connects hundreds of manufacturing steps. Three shared manufacturing centers enable the integration of multiple plants, increasing the utilization of steel plates to over 90% and reducing construction costs by 15%. Automated logistics have replaced storage with real-time transport, cutting inventory by 70% and ensuring precise distribution. Combined with a cross-regional FE platform and a flexible shared supply chain model, Zoomlion has established a comprehensive ecosystem that enhances efficiency and drives digital transformation across the entire industry.
The collaborative intelligent manufacturing model pioneered by Zoomlion delivers unparalleled efficiency fueled by data and AI. In its intelligent excavator factory, AI encompasses over 80% of processes, facilitating self-organizing production with zero setup times. The complete cycle, from cutting steel plates to final assembly, takes just 6.5 days, and an excavator rolls off the line every six minutes. This factory, boasting the industry's shortest cycle time and production period, supports a market-oriented, customized production approach while drastically reducing inventory and eliminating discrepancies between production and demand.
The success of this model has already demonstrated scalability worldwide. Zoomlion has implemented its intelligent production system in over 20 factories around the globe, simultaneously driving innovations in areas like agricultural machinery, energy equipment, and emergency vehicles. Building on advancements in AI and robotics, the company plans to deepen technology integration, accelerate innovations in next-generation processes, and share its intelligent manufacturing model with global partners from various industries.
This recognition at the 2025 conference not only underscores Zoomlion's achievements in advancing smart manufacturing but also positions the company as a leader in driving future industry innovations.
The company has notably tackled a significant challenge faced by the sector — efficiently manufacturing heavy equipment in small quantities with varied models on a shared mixed production line. Within its Smart Industrial City, Zoomlion constructed a collaborative intelligent excavator factory, achieving three globally unique milestones. It became the first company to implement comprehensive intelligent manufacturing across six core phases, operate a mixed production line for over 100 models, and integrate collaborative production across multiple equipment categories.
This shared manufacturing model supports a modular, highly scalable cluster for construction machinery, designed for interoperability that encompasses key equipment categories and connects hundreds of manufacturing steps. Three shared manufacturing centers enable the integration of multiple plants, increasing the utilization of steel plates to over 90% and reducing construction costs by 15%. Automated logistics have replaced storage with real-time transport, cutting inventory by 70% and ensuring precise distribution. Combined with a cross-regional FE platform and a flexible shared supply chain model, Zoomlion has established a comprehensive ecosystem that enhances efficiency and drives digital transformation across the entire industry.
The collaborative intelligent manufacturing model pioneered by Zoomlion delivers unparalleled efficiency fueled by data and AI. In its intelligent excavator factory, AI encompasses over 80% of processes, facilitating self-organizing production with zero setup times. The complete cycle, from cutting steel plates to final assembly, takes just 6.5 days, and an excavator rolls off the line every six minutes. This factory, boasting the industry's shortest cycle time and production period, supports a market-oriented, customized production approach while drastically reducing inventory and eliminating discrepancies between production and demand.
The success of this model has already demonstrated scalability worldwide. Zoomlion has implemented its intelligent production system in over 20 factories around the globe, simultaneously driving innovations in areas like agricultural machinery, energy equipment, and emergency vehicles. Building on advancements in AI and robotics, the company plans to deepen technology integration, accelerate innovations in next-generation processes, and share its intelligent manufacturing model with global partners from various industries.
This recognition at the 2025 conference not only underscores Zoomlion's achievements in advancing smart manufacturing but also positions the company as a leader in driving future industry innovations.
Topics Heavy Industry & Manufacturing）
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