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
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