Climate Adaptation Unlocking Value Chains with the Power of Technology 2025

Tech and data needs, to enable adaptation across manufacturing systems value chain TABLE 3 Adaptation use caseShared data needs Illustration Tech needs Compr ehend risks and opportunities Build resilience against future impactsDigital supply chain platforms– AI-power ed supply chain management softwar e – Supplier risk assessment systems – AI-driven demand forecasting systems– Real-time supply chain data (sour cing, routing) – Supplier risk data based on climate impacts – Climate patter ns & demand trend dataIBM Watson’ s Supply Chain Platform helps manufactur ers adapt to climate-r elated disruptions, such as hurricanes, by using real-time weather data and AI to adjust operations. CEVA Logistics achieved a 90% increase in data processing speed, ensuring zero downtime during peak periods and mitigating supply chain delays caused by extreme weather like storms. Advanced predictive maintenance– AI algorithms for predictive maintenance – Smart energy load balancing systems – Remote diagnostics systems– Real-time machine data (temperatur e, moistur e) – Equipment wear and tear data – Energy load and demand data – Physical teams and equipment movement, and operational conditions during climate disruptionsSiemens’ Senseye predictive maintenance system reduced unplanned machine downtime by 20% in an East Icelandic aluminium manufacturing plant. Advanced cooling & heating systems– AI-power ed HVAC systems – Heatwave response systems – Energy-efficient climate contr ol systems– Real-time climate and temperatur e data – Factory operational data during extreme weather – Energy usage and efficiency metricsKoç Holding , through its subsidiary Tofaș, implemented a central heating system that optimizes energy usage in production workshops by leveraging outdoor temperature data and historical heating patterns. A machine learning algorithm predicts the necessary heating levels one hour in advance, ensuring precise control, energy savings and reduced harmful gas emissions. Respond dynamically when impact hits Automatic protection systems– AI-power ed flood barriers – Automated equipment relocation systems – IoT sensors for envir onmental monitoring – AI-driven energy storage and distribution management– Envir onmental data (temperatur e, humidity , flood levels) – Equipment location and vulnerability assessments – Weather forecast data – Grid outage and energy demand dataFloodBr eak’s flood barriers at Cummins’ Engine Plant in Indiana provide automatic flood protection without human intervention, ensuring continuous operation during extreme weather .1 2 3 4 Sources: Supply Chain Digital, Siemens, Koç Holding, Floodbreak, BCG analysis.58 Climate Adaptation: Unlocking Value Chains with the Power of Technology 26