Global Lighthouse Network 2025

Page 45 of 52 · WEF_Global_Lighthouse_Network_2025.pdf

Site Change story Top five use cases Impact Midea Chongqing, People’s Republic of ChinaFacing a surge in customized orders – from 31% to 87% – from 42 industries, Midea Chongqing deployed 79 digital use cases powered by machine learning, augmented reality and simulation. This enabled a “Batch Size 1” make-to- order delivery model, optimizing product configuration, intelligent design, agile production and adaptive quality assurance. These measures reduced configuration lead times by 81%, design lead times by 45% and after-sales failure rates by 31% while accommodating a 180% increase in custom orders.One-click intelligent configuration and quotation based on multi-physics simulation 81%Configuration lead time Intelligent customized component design powered by self-developed PLM and heuristic algorithms 49% Design reuse rate Flexible machining enabled by advanced scheduling and dynamic dispatch 32% OEE AR and AI-enabled intelligent operator guidance and error proofing in assembly 53%Qualification period for new operators ML-enabled dynamic optimization and proactive defect alerts in pressure vessel welding 71% Defect rate Sustainability Lighthouses Wave 12 Previously awarded Factory or E2E Lighthouses Site Change story Top five use cases Impact Foxconn Industrial Internet Shenzhen, People’s Republic of ChinaTo meet the consumer electronics industry’s commitment to carbon neutrality, Foxconn Industrial Internet utilized AI, Internet of Things (IoT) and other 4IR technologies to optimize recycling, track carbon footprints and innovate for sustainability. This led to a 42% reduction in scope 3 emissions, a 24% cut in scope 1 and 2 emissions, and increased recycled material content to 55%-75%.Recycling and utilization improvement of metal chips in the value chain 39% Scope 3 emissions Process modelling and IoT-enabled carbon footprint optimization 44% Carbon footprint Sustainable anodizing with AI-powered controls and circularity 72% Scope 3 emissions Midea Hefei, People’s Republic of ChinaAs a top global washing machine producer and sustainability leader, Midea Hefei implemented 24 4IR use cases to reduce emissions and optimize energy use. The site cut scope 1 and 2 emissions by 36.4% and scope 3 emissions by 26.0%. Solar power now provides 31% of energy, 40% of water is recycled, and waste was reduced by 22.1%.Advanced analytics for smart energy forecasting, consumption and dynamic balancing 19.0%Green energy utilization rate Green product design with AI-enabled carbon lifecycle footprint analysis and digital simulation 24.3%Power consumption per cycle AI enhanced logistics network and route optimization for fuel reduction 29.2% Fuel consumption Global Lighthouse Network: The Mindset Shifts Driving Impact and Scale in Digital Transformation 45
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