Chinese Manufacturers Recognized as “Lighthouses” for AI and Sustainability Integration
The World Economic Forum (WEF) has recently released its list of global “lighthouse” factories, highlighting manufacturers that are leading the way in the fourth industrial revolution by incorporating high efficiency, intelligence, and green technologies. One key factor in evaluating these manufacturers is the application of artificial intelligence (AI) and sustainability during production.
The Global Lighthouse Network, launched by the WEF and consulting firm McKinsey in 2018, aims to identify manufacturers actively pursuing innovative technologies. In the latest list of additions, 22 manufacturing enterprises from 10 countries have joined the network, with three Chinese enterprises recognized as “sustainability lighthouses.”
These Chinese firms have reduced carbon emissions by over 20 percent through the use of technologies like AI and the Internet of Things (IoT), as well as process innovations. SANY Renewable Energy, a global provider of wind power solutions, made the list by implementing digital tools in its production processes.
By utilizing AI and automation, these lighthouse factories are able to monitor and manage production parameters in real-time, leading to significant improvements in efficiency and sustainability. The Global Lighthouse Network aims to inspire the global manufacturing industry to adopt similar innovative technologies.
Of the newly-selected lighthouse factories, nearly 60 percent are Chinese, reflecting the country’s rapid transformation in the manufacturing sector towards greenness and intelligence. China’s ongoing efforts to drive operational efficiency and environmental responsibility have resulted in a historic high number of lighthouse factories from the country.
Overall, the application of AI and sustainability is key for manufacturers looking to be recognized as lighthouses in the global manufacturing industry, showcasing the importance of innovative technologies in driving progress and sustainability.
