Site Change story Top five use cases Impact Sanmen Nuclear Power Taizhou, People’s Republic of ChinaCommitted to zero accidents, Sanmen Nuclear Power deployed 40+ 4IR cases, including AI and robotics, to improve operational safety. These efforts maintained a 0% safety accident rate, increased capacity factor by 1.5%, and cut major overhaul periods by 46% while improving labour productivity by 18%.AI-enabled reliability management for nuclear critical equipment 50%Total troubleshooting time Advanced analysis and optimization of nuclear reactor core power 70.18% Time to full power High-risk area inspection utilizing AI robots 60% Inspection time Advanced analysis and management of unit operation risk 55%Safety systems test performed during normal operation Deep simulation-enabled training for nuclear power personnel 1.46%Average capacity factor of unit SANY Renewable Energy Shaoshan, People’s Republic of ChinaFacing various challenges in producing and transporting large wind turbine blades, SANY deployed 29 4IR use cases, including AI and intelligent automation. This resulted in a 20% reduction in defects, a 33% boost in productivity and a 34% cut in delivery time, demonstrating digital technology’s transformative impact on clean energy.Smart real-time quality management platform 19.9%Quality defects per unit area Workforce task optimization based on UWB and AI analysis 31.9% Labour productivity Innovative flexible blade grinding 73.8% Grinding lead time Digital control tower for blade delivery 28.6%Blade damage rate during transportation AI-based blade operation failure prediction and root cause analysis 50% Field failure rate Schneider Electric Monterrey, MexicoTo meet the growing demand for complex products, Schneider Electric’s Monterrey facility integrated digital technologies such as ML-driven forecasting and autonomous robots. These enhancements led to sustained annual growth, a 20% reduction in defects and a 30% reduction in water consumption.ML-enabled forecasting and supplier integration 49.6% Customer lead time AMRs and drones for material handling 115% Cycle count efficiency Deep learning vision systems for inspection and quality robustness 70%Manual inspections controls Connected facilities for process water management 54% Water consumption AI-enabled regional risk monitoring, analysis, and alert system 77% Theft incidents Siemens Erlangen, GermanySiemens Erlangen developed its Green Lean Digital strategy to lead in mid-volume, high-mix manufacturing. With over 100 AI algorithms and extensive use of digital twins, powered by a flexible and modular IT architecture, the site improved labour productivity by 69%, cut time to market by 40% and reduced energy usage by 42%.AI-enabled closed-loop electrical testing 51%False positive rate E2E advanced analytics platform for greenfield semiconductor manufacturing operations 19% Production yield Product digital twin to train AI models for visual inspection/ perception- based robotics 50% Field failure rate AI-enabled automated outbound logistics 5xLabour productivity in affected logistics area Additive manufacturing network platform for spare parts 80% Spare parts lead time Global Lighthouse Network: The Mindset Shifts Driving Impact and Scale in Digital Transformation 38

Global Lighthouse Network 2025