The World Economic Forum announces today the addition of 21 new sites to its Global Lighthouse Network, a community of world-leading manufacturing facilities and value chains using Fourth Industrial Revolution (4IR) technologies to increase efficiency and productivity, in tandem with environmental stewardship.
By deploying advanced technologies such as robotics and artificial intelligence (AI) in the production chain, more than half of all factories are making an impact on environmental sustainability through their 4IR transformations. A consumer healthcare company, for example, coupled advanced controls with green technology to deploy a sensor-fed automated system to cut energy consumption, resulting in 25% less energy consumed and an 18% reduction in CO2.
The Lighthouse network and its 90 sites are a blueprint for adapting to technology, improving processes and developing workforce skills to scale across the production chain. From pharmaceuticals and medical products and consumer packaged goods to a broad range of advanced industries, these diverse organizations spanning over 75 regions are demonstrating how 4IR technologies can increase profit, with a positive impact on the environment.
Among the 90 Lighthouses, three are receiving a new designation, Sustainability Lighthouses, factories and value chains achieving sustainability and productivity breakthroughs.
A new report, Global Lighthouse Network: Unlocking Sustainability through 4IR, outlines how manufacturers accomplished these results. Download the latest report HERE to learn how lighthouses are leveraging advanced technologies to achieve step-change improvements in sustainability and productivity.
“As discussed at the Forum’s Sustainability Development Impact Summit last week, increased global concern for environmental impact has made sustainability a must-have to maintain business viability. The Sustainability Lighthouses make it clear that by realizing the potential of 4IR technologies in manufacturing, companies can unlock new levels of sustainability in their operations and explore a win-win solution: greater operational competitiveness while simultaneously making commitments to environmental stewardship, leading in a cleaner, more sustainable future as a result,” said Francisco Betti, Head of Shaping the Future of Advanced Manufacturing and Value Chains, World Economic Forum.
Enno de Boer, Partner and Global Head Operations Technology, McKinsey & Company and Global Lead of its manufacturing work, said: “Lighthouses have achieved a sustainability breakthrough. Companies no longer have to choose competitiveness or sustainability because smart manufacturing lets them achieve both. Fourth Industrial Revolution technologies – think artificial intelligence, robotics and the internet of things – amplify human capability and technological innovation to accelerate sustainability while also strengthening competitiveness. From using advanced analytics to predict exactly the inputs and outputs needed for a manufacturing process to augmented reality that simulates a production line so machines can be operated remotely, Lighthouses are reducing resource consumption, waste and carbon emissions, while increasing productivity and profit – all at once.”
The goal of the Global Lighthouse Network is to share and learn from best practices, support new partnerships and help other manufacturers to deploy technology, adopt sustainable solutions and transform their workforces at pace and scale.
The extended network of “Manufacturing Lighthouses” will be officially recognized at Global Lighthouse Network Lighthouses Live on 29 September. The event will feature CEOs and innovators focused on scale-up entrepreneurial solutions to tackle global talent shortages, the climate crisis and advancing sustainable development. Click here to follow the meeting.
The locations receiving new designation as Sustainability Lighthouses are:
Ericsson (Lewisville): Ericsson’s greenfield 5G factory is powered 100% by renewable electricity from on-site solar and green-e® certified renewable electricity from the utility grid. The smart factory integrates sustainable technologies such as thermal ice storage tanks with the industrial internet of things (IIoT) stack to proactively monitor energy usage and is designed to utilize 24% less energy and 75% less indoor water usage, avoiding 97% operational carbon emissions* than comparable buildings. This year it became Ericsson’s first factory globally to achieve LEED Gold® certification.*
Henkel (Düsseldorf):In an effort to improve visibility of factory consumption to drive better decision making, Henkel deployed utility meters on machines integrated in a digital twin that connects and benchmarks 30 factories and prescribes real-time sustainability actions that has led to 38% less energy (kWh/ton) used and has reduced water consumption 28% (m3/ton) and waste 20% (kg/ton) across factory baselines set in 2010.
Schneider Electric (Lexington):In order to capture greater energy consumption granularity, when and where it happens in the plant, the Lexington smart factory leveraged IoT connectivity with power meters and predictive analytics to optimize energy cost. This has led to a 26% energy reduction (GWh), 30% net CO2 reduction, 20% water use reduction, and a Superior Energy Performance 50001TM certification by the US Department of Energy.
*Calculation based on EPA Greenhouse Gas Equivalencies Calculator
The 21 new Lighthouses are:
De’ Longhi Group (Treviso): In order to step up competitiveness, the De’ Longhi Treviso plant invested in digital and analytics to become more agile (reducing minimum order quantity by 92% and lead time by 82%) and more productive (improving labour productivity by 33%) and achieving high standard quality (improving field quality by 33% and obtaining Food and Beverage industry certification).
Flex (Althofen): Confronted with strong competition from lower-cost regions, Flex’s site in Althofen deployed 4IR technologies to improve operational efficiency and agility. By meeting higher regulatory and quality standards, Flex attracted higher-margin and longer lifecycle medical business, increasing revenue by 50% within the same physical footprint.
Johnson & Johnson Vision Care (London): J&J Vision Care transformed customer experience, through personalized 4IR technologies using Adaptive Process Control, AI and robotics to offset increasing complexity (+50% Units), which enabled 100% personalized packaging configurations, an eight percentage point increase in customer-service levels and reduced the carbon footprint for inbound freight by 53%.
Henkel (Toluca):This 1970’s factory characterized by low-mix, high-volume production, set out on a Fourth Industrial Revolution transformation journey centred on people, data transparency and availability to reduce processing costs by 15%, energy consumption by 14% and to enhance plant OEE by up to 90%.
DePuy Synthes, the Orthopaedics Company of Johnson & Johnson (Bridgewater):Faced with high complexity, cost pressure and operating room inefficiencies, DePuy Synthes deployed “Advanced Case Management”, a Fourth Industrial Revolution program leveraging open API architecture, machine-learning algorithms and a suite of digital tools across its joint restoration implant portfolio (hips and knees) value chain in North America. This reduced the number of instrument trays in the operating room by 63%, implant inventory by 40% and, ultimately, lowered the time to set up the operating room by approximately 15% per location.
Protolabs (Plymouth): Protolabs is a digital native manufacturer that embarked on a transformation journey taking it from a prototype-only provider to a production supplier by leveraging its digital thread to connect customers to its injection-moulding production services. As a result, it outperforms traditional manufacturing competitors by reducing production lead times to as low as one a day and generating a gross margin 20 percentage points above the industry average.
AUO (Taichung): Facing labour shortages, highly customized product requirements and extreme climate conditions in the very competitive industry of display panels, AUO Taichung Fab 3 invested in customized automation and developed a digital analytics and AI development platform to improve productivity by 32% and yield of advanced product by 60%, while reducing water consumption by 23% and carbon emissions by 20%.
CATL (Ningde): Confronted with increasing manufacturing process complexity and demand for high product quality, CATL leveraged AI, advanced analytics and edge/cloud computing to achieve, in three years, a defect rate per billion count at the speed of 1.7s per cell, while improving labour productivity by 75% and reducing energy consumption by 10% a year.
CITIC Dicastal (Qinhuangdao):Faced with rising expectations from automotive OEMs for smaller batch size and higher quality, CITIC Dicastal deployed flexible automation, AI and 5G to build a digital manufacturing system to improve flexibility with a batch size of one and reduce manufacturing costs by 33%.
Foxconn (Wuhan):To meet customer requirements for greater customization and shorter product order lead time, Foxconn Wuhan leveraged advanced analytics and flexible automation at scale to redesign its manufacturing system. This led to an 86% increase in direct labour productivity and cut quality loss by 38% and order lead-time by 29%, down to 48 hours.
Foxconn (Zhengzhou): Faced with a lack of skilled workers, unstable quality performance and demand uncertainty, Foxconn Zhengzhou adopted flexible automation to improve labour productivity by 102%, and utilized digital and AI technologies to reduce quality defects by 38% and improve OEE by 27%.
Haier (Tianjin):To meet increased customer expectations for diversified products, faster delivery and higher quality of service, Haier’s greenfield washing machine factory in Tianjin integrated 5G, IIoT, automation and advanced analytics to accelerate product design by 50%, reduce defects by 26% and save energy consumption per unit by 18%.
Innolux (Kaohsiung):In the context of fierce competition in the panel industry, and faced with increasing quality requirements from customers and severe decline in gross profit, Innolux fab 8 invested in advanced automation, IoT technology and advanced analytics to improve process capability by 40%, reduce yield loss by 33% and, in return, unlock niche product production.
LS ELECTRIC (Cheongju):To respond to an increase in demand and the need to reduce costs, LS ELECTRIC has transformed one of its plants in Cheongju, South Korea, with an IIoT-based automation, machine learning powered inspection and advanced process control, enabling mass customization and lowering production costs by 20%.
SANY (Beijing):Faced with growing demand and rising complexity in the multi-category and small-batch heavy machinery market, SANY Beijing deployed advanced human-machine collaboration automation, AI and IoT technologies to boost labour productivity by 85% and reduce production lead time by 77% from 30 to seven days.
Schneider Electric (Wuxi):Schneider Electric’s 20-year-old electronics parts factory in Wuxi, China, confronted increased demand for product adaptation and order configuration with a flexible production line by deploying 4IR technologies, such as modular cobot stations and AI vision inspection, to reduce time-to-market by 25%, and advanced analytics to auto-generate root-cause analysis and detect anomalies across the supply chain, which have increased on-time delivery by 30%.
Unilever (Taicang):To seize the booming business in e-commerce and big-box channel, Unilever Taicang ice-cream factory deployed one-scan, one-view platform to provide E2E supply chain visibility in manufacturing and food handling for customers, and combined the digital voice of consumers with an agile R&D digital platform to improve innovation lead time by 75%, from 12 to three months.
Western Digital (Penang):With an increase in flash memory demand of more than 2X, stringent quality requirements and the need to optimize costs, Western Digital Penang embarked on lights-out manufacturing journey based on Fourth Industrial Revolution technologies. By automating production and logistics, they were able to deliver 32% factory cost improvement, and transitioned to build-to-order with intelligent planning system, thereby reducing product inventory and order lead time by 50%.
Western Digital (Prachinburi):With rapidly growing demand, rigorous quality requirements and cost pressure for hard disk drive (HDD), Western Digital Thailand leveraged connectivity and advanced analytics technologies to transform a capacity-saturated manufacturing site into a digital operation system, with real-time visibility in suppliers, production, logistics and customers and data-based insights and predictions. This ultimately increased factory output by 123% – avoiding 30% in procurement and production costs – and cut the product return rate by 43%.
Arçelik (Eskisehir):Confronted with rising customer demand and increasing product diversity, Arçelik leveraged its agile studio to deploy, in two years, over 30 advanced use cases in automation, robotics-enabled logistics and data-driven AI systems to enable flexible manufacturing with a return on investment of 1.2 years.
Saudi Aramco (Abqaiq):Motivated by the need to access new levels of quality and sustainability, the world’s largest oil processing and crude stabilization plant has harnessed the power of data, advanced analytics and automation to transform its manufacturing processes, achieving a 21% increase in product quality and 14.5% reduction in energy use.