Future-Proofing Global Value Chains: Country Preparedness and Beyond

Case studies

Total number of case studies

299

Sectors

21

Locations

59

Topics

9

In a bid to achieve corporate sustainability goals of 70% reduction in Scope 1 & 2 emissions by 2025 over baseline of 2015 and reducing water consumption while tackling rapidly increasing volumes, Unilever Dapada deployed 14 use cases such as ML powered energy optimization through integrated energy management system, digital twin to accelerate eco-friendly formulations. Dapada reduced its scope 1+2 emissions by 54%, its scope 3 emissions by 43% and its water consumption by 36%, and as a result is ahead of its goal to achieve the emission reduction targets.
India | Technology
Unilever - Dapada - Sustainability
In the context of growing demand, Western Digital doubled the site’s petabyte (PB) output between 2017 and 2021 while reducing its environmental footprint per PB to achieve corporate ambitions. This result was enabled by multiple 4IR use cases such as machine learning to dynamically optimize the performance of the water recycling plant and should consumption prediction to detect abnormal energy consumption based on real-time operating data. These measures reduced water consumption by 62% and energy consumption by 51% per PB.
People's Republic of China | Technology
JCET | SanDisk - Shanghai - Sustainability
Facing agility, profitability, and cost to serve challenges, J&J Bangkok site adopted 4IR technology such as collaborative supply chain  control tower, computational fluid dynamics, AI energy optimization, advanced data analytics on logistics. The value chain delivers 47%  revenue growth with 25% inventory reduction, and it reduced 43% end-to-end supply chain lead time, 42% productivity improvement, 20%  carbon footprint optimization.
Thailand | Health
Kenvue - Bangkok
Target domestic high-end product segments and oversea market expansion, Midea Hefei Laundry widely deployed artificial intelligence and IOT technologies across end-to-end value chains to form a faster response and higher efficiency supply chain, resulted in lead time reduction by 56%, customer report defect rate reduction by 36%, labor productivity improvement by 45%.
People's Republic of China | Other
Midea - Hefei
Due to consumer expectations with higher product complexity, Midea Jingzhou, as a 30-year-old factory, adopted flexible automation, IOT and artificial intelligence at scale to transform the manufacturing system, increased labor productivity by 52%, reduced production lead time by 25% eliminated 20% utility consumption per unit reduction.
People's Republic of China | Other
Midea - Hubei
With the ambition to accelerate its digital transformation, Sanofi embarked 2 years ago in a digital & analytics transformation of its  procurement operations and built 4IR products, such as should cost modeling, smart tender analytics, supplier performance analytics. They  delivered 10 % savings while achieving 13% org efficiencies and transformed the way they work.
France | Health
Sanofi - Paris
Facing changing customer demands and a 54% business growth, Schneider Electric implemented 4IR technologies such as IIOT  Infrastructure, predictive/prescriptive analytics and AI deep learning. This has resulted in reduction of field failure by 48% and lead time by  67%, while manufacturing efficiency improved by 9%.
India | Technology
Schneider Electric - Hyderabad
Global Procurement is the main contributor to TEVA's ambitious Gross Margin Improvement Program and contributes to the Free Cash  Flow target, delivering 3x historical COGS savings by end of 2024. To achieve this Global Procurement implemented 4IR technologies  within 1.5 years, increased labor efficiency by 30%, upskilled its workforce and optimized cross-functional processes to break down silos;  and is leading the way for 4IR at Teva
Netherlands | Health
Teva - Amsterdam
Driven by the need to accelerate the pace of innovation and speed of response to consumer demand while augmenting cost  competitiveness in an increasingly challenging market, and acting on sustainability goals, Unilever Dapada deployed digital, automation  and AI-ML across its end-to-end value chain to shorten product development lead time by 50%, reduce manufacturing cost by 39% and  energy by 31%.
India | Chemicals
Unilever - Dapada
To pursue premium product market share with high quality expectation, BOE Fuzhou has widely adopted artificial intelligence and  advanced analytics at fully automated production system to achieve best-in class quality excellence, equipment efficiency and energy  sustainability with new product yield ramp-up period shorten by 43%, cost per unit decreased by 34% and output increase by 30% without  major capex investment.
People's Republic of China | Technology
BOE - Fuzhou
Facing 20% labor wage increase, YoY 10%+ price reduction request from customer and high fluctuation in customer orders, Bosch  Changsha implemented 45 4IR use cases with automation and AI to increase competitiveness, maintained the market position with 100%  NEV (New Energy Vehicle) customer portfolio penetration and reached carbon neutral.
People's Republic of China | Automotive
Bosch Automotive - Changsha
Facing booming market of water heater and increasing requirement of high-end product and service, Haier Zhengzhou, as a new built  plant, leverages big data, 5G edge computing and UWB solutions to build close connection with supplier, plant and customer, which speed  up order response lead-time by 25%, increase production efficiency by 31% and improve quality performance by 26% since its start in 2020 to 2021.
People's Republic of China | Other
Haier - Zhengzhou
In order to meet 45% increased eCommerce demands, P&G Guangzhou leveraged AI, flexible automation, and digital twins to integrate  multi-systems across value chain to serve omni channels consumers. This increased the responsiveness of their supply chain with 30%  reduction of inventory, 15% reduction of logistics cost and 99.9% on time delivery within 3 years.
People's Republic of China | Chemicals
Procter & Gamble - Guangzhou
Janssen Latina has been deploying 4IR solutions that deliver faster, competitive and agile launches of new products and quality release,  led non conformances reduction by 30% and product release lead time optimization by 84% while reducing energy costs by 10% and  logistics labor costs by 72%
Italy | Health
Johnson & Johnson Janssen - Latina
Facing growth of its product portfolio complexity by 70%, rising quality expectations from customers and labor shortages, LGE re-designed an old factory in Changwon into a digital lighthouse plant leveraging flexible automation, digital performance management, and artificial intelligence to improve productivity by 17%, field quality by 70% while reducing inventory by 25% and energy consumption by 30%.
Republic of Korea | Other
LG Electronics - Changwon
Schneider Electric Le Vaudreuil has implemented industrial internet of things (IIoT) sensors connected to digital platforms, unlocking data to optimize energy management by 25%, reduce material waste by 17% and minimize CO2 emissions by 25%, with the objective to be net-zero carbon by 2025, without offset and ahead of the global Schneider Electric pledge. The smart factory is equipped with a zero-reject water recycling station connected to cloud analytics and monitored by an artificial intelligence (AI) model to predict process drifts, leading globally to 64% in water reduction.
France | Technology
Schneider Electric - Le Vaudreuil - Sustainability
Janssen Sciences Ireland Unlimited Company has been long supporting regional initiatives for sustainability improvement and now enabling the corporate 2030 pledge of carbon neutrality. Through Fourth Industrial Revolution-enabled real-time release, adaptive process control and other sustainability efforts, the site has optimized its processes and reduced carbon emissions per kg of product by 56%, while the site footprint has expanded by 34% to meet growing business needs.
Ireland | Technology
Johnson & Johnson Janssen - Cork - Sustainability
Sandisk achieved a reduction in energy by 41%, water consumption by 45% and material waste by 16% through a vertically integrated smart factory. Fourth Industrial Revolution technologies, such as internet of things (IoT) sensors, digital twin modelling, analytics powered plant management system and lights-out automation with machine learning, increased their sustainability impacts, while the site grew 43% (Compound Annual Growth Rate) in the last four years. This concerted effort enabled the Malaysia Green Building Index (GBI) certification for the site.
Malaysia | Technology
Sandisk - Penang - Sustainability
To compete with growing demand and rising complexities from the multi-category and small-batch heavy machinery market, SANY Beijing extensively deployed advanced automation, AI and IoT technologies to boost labor productivity and upskill their capabilities. As a result, the factory achieved a 100% expansion of its output and 76.7% reduction in the production lead time within 2 years
People's Republic of China | Technology
Sany Group Co. Ltd - Beijing
Motivated by the need to access new levels of efficiency and sustainability, the 70 years old world’s biggest oil processing and crude stabilization plant has harnessed the power of data, advanced analytics and automation to transform its manufacturing processes, achieving 21% increase in product quality, 14.5% reduction in energy use and reducing GHG emissions by 3.8%
Saudi Arabia | Oil & Gas
Aramco - Abqaiq

Future-Proofing Global Value Chains: Country Preparedness and Beyond

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