Site Change story Top five use cases Impact GE HealthCare Beijing, People’s Republic of ChinaServing 160 countries, GE HealthCare Beijing tackled complex manufacturing and quality demands by implementing 45 digital solutions across 26 production lines. By deploying AI for defect detection and deep learning, the site reduced cycle times by 66%, slashed scrap by 66% and lowered customer complaints by 73%.Cloud based real-time production scheduling 40%On time shipment (urgent demand) Automated and closed-loop testing line on edge 66% Production cycle time Deep learning enabled unit sorting & sequencing 70% Testing cycle time AI-enabled CT raw material early defect detection 66% Scrap per unit AI-based vision systems for inspection 73% Customer complaint Jubilant Ingrevia Limited Bharuch, IndiaJubilant Ingrevia deployed 4IR technologies in global brownfield specialty chemical manufacturing and reskilling over 2000 employees. Through 30+ integrated use cases leveraging artificial and machine learning, IoT-based digital twin and predictive platforms, Jubilant Ingrevia’s site reduced the overall process variability by 60% and almost doubled production volume.ML-enabled raw material price prediction model 4.6% Material cost AI/ML-enabled yield optimization 1.3% Yield Advanced analytics enabled optimization of reactor 2% OEE (Availability) Advanced analytics led steam consumption optimization 20% Scope 1 emissions Predictive maintenance for critical equipment 85%Unplanned maintenance hours Mengniu Dairy Ningxia, People’s Republic of ChinaTo meet rising consumer demand for fresher, more nutritious dairy products, Mengniu Dairy’s Ningxia factory implemented over 30 advanced 4IR use cases, from intelligent decision-making to flexible automation. These initiatives, covering milk processing, packaging and testing, led to a 55% reduction in delivery lead time, a 60% decrease in quality defects and a 32% reduction in operational costs, significantly enhancing both efficiency and product quality.AI-driven optimization of raw milk supply 67% Raw milk turnover AI-enabled process monitoring, optimization and controls 42% Raw milk waste One-stop smart laboratory 30% Test lead time Package volume precise control based on e-SPC 67%Package volume fluctuation Big data model monitoring package integrity 88%Package integrity inspection frequency Hisensehitachi Qingdao, People’s Republic of ChinaTo meet global market demands, Hisensehitachi’s Qingdao site implemented 40+ 4IR use cases, boosting product development speed by 37%, increasing labour productivity by 49% and reducing manufacturing costs by 35%.Accelerated product development through integrated simulation 37%Product development cycle High precision flexible automation with computer vision 49% Throughput AI-enabled integrated supply chain planning 38% Prediction error GenAI-enabled performance management of shopfloor and operations 33%Production loss from equipment Skill development with gamified training and mixed reality simulations 43% Training cycle Global Lighthouse Network: The Mindset Shifts Driving Impact and Scale in Digital Transformation 37

Global Lighthouse Network 2025