Site Change story Top five use cases Impact Taiyuan Heavy Industry Railway Transit Equipment Taiyuan, People’s Republic of ChinaTo meet stringent safety and quality standards for high-speed railways, TZ implemented 40+ 4IR use cases enhancing quality and productivity through the use of AI and flexible automation. These advances led to a 33% reduction in defect rates, a 29% decrease in unit costs and a 33% increase in throughput.AI-enabled material composition recommendation 66% Defect rate Real-time forging quality prediction and control with multi-modal AI 41% Scrap rate Digital twin-enabled furnace and billet temperature control 35%Temperature difference Rapid CNC programming and process parameter design 26% Cycle time Intelligent predictive maintenance and repair solutions 28% Equipment failure rate Zhengzhou Coal Mining Machinery Zhengzhou, People’s Republic of ChinaTo meet the demand for fully customized hydraulic supports and faster delivery, Zhengzhou Coal Mining implemented 48 4IR use cases, including IoT, machine learning and adaptive automation. These innovations transformed the site into a smart factory capable of high- flexibility, high-efficiency production, cutting lead times by 66%, boosting output per worker by 205% and reducing defect rates by 73%.One-click customized product selection enabled by neural network 30% R&D FTE Adaptive bevel cutting enabled by 3D point-cloud registration 90%Defect rate (bevel cutting) Heavy-duty logistics dispatch and execution enabled by advanced analytics 72% WIP inventory cost Flexible loading and welding for irregularly shaped heavy parts 30% OEE Loss capture and closing- loop based on automatic process-level order costing 64%Labour cost per ton produced Wave 13 Site Change story Top five use cases Impact Agilent Technologies Shanghai, People’s Republic of ChinaTo meet growing customer demands for higher lab productivity – more applications in a single instrument – the site leveraged 4IR technologies to overcome product customization and lead time challenges. By merging digital and engineering expertise, the site implemented 50 use cases focusing on in-house development of tailored and cost-effective AI solutions. This digitized engineering know-how enhanced adaptability, precision and speed across its design-to-production cycle, improving productivity by 56% and lead time by 31% with customer satisfaction on delivery exceeding 96%.AI-assisted design of highly- customized GC 75%Customized order design cycle AI-driven planning intelligence for make-to- order (MTO) 31%Order-to-ship lead time GenAI virtual engineers to boost productivity 68%Line ticket closure cycle Low-cost automation toolkit for customized products 56% Labour productivity AI-powered helium gas reduction 82% Helium consumption Global Lighthouse Network: The Mindset Shifts Driving Impact and Scale in Digital Transformation 39

Global Lighthouse Network 2025