A major European manufacturer partnered with Deloitte to enhance production quality using SAP Leonardo IoT and machine learning. By collecting data on 70 parameters per second from its casting process, the company built a dataset of over 5 million records. This enabled real-time predictive quality analysis, identifying potential issues early and optimizing process parameters to uphold high-quality standards. The initiative improved predictive maintenance, provided quantitative insights into billet quality, and supported continuous process refinement, ensuring consistent production performance across the company’s 10 manufacturing sites with 1,500 employees.

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