Intelligent CIO North America Issue 48 | Page 45

CIO OPINION in unplanned downtime and 20 % lower maintenance costs . AI acts as a force multiplier by turning reactive maintenance into proactive , data-driven strategies .
Quality Control and Defect Detection reducing costs . POSCO achieved a 5 % increase in production efficiency and a 10 % reduction in energy consumption , while DuPont reduced raw material consumption by 8 %. AI amplifies the impact of process optimization , making it more dynamic and precise .
ArcelorMittal and Dow Chemical utilize AI-powered computer vision systems and real-time data analysis to inspect products and detect quality issues early . These systems detect defects faster and more accurately , reducing scrap rates and rework costs . Dow Chemical ' s AI models identify deviations in product quality early , significantly cutting waste . Here , AI serves as a force multiplier by exponentially increasing the speed and accuracy of defect detection .
Anomaly Detection
Companies like Baosteel and Dow Chemical use AI to continuously monitor production parameters , detecting anomalies in real-time . This allows for immediate corrective actions , reducing quality issues and process disruptions . AI ' s force multiplier effect ensures quicker identification and resolution of potential problems , maintaining smooth operations .
Process Optimization Energy Management
POSCO and DuPont have implemented AI to optimize their production processes . AI continuously adjusts parameters in real-time , improving efficiency and
Thyssenkrupp and BASF use AI to analyze energy consumption patterns and optimize energy use in real-time . This has led to a 10 % reduction in energy
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