Manufacturing companies today face a wide range of challenges – increasing cost pressure, new regulations, fragile supply chains, and more. To remain competitive, businesses must enhance agility and adaptability, which requires real-time production insights. The Data-Driven Factory integrates data holistically to improve transparency, efficiency, quality, and sustainability in production. In our whitepaper, you’ll discover real-world examples of how a Data-Driven Factory can be implemented and how your company can benefit from it.
Using a Data Intelligence Platform, Gerolsteiner has succeeded in achieving real-time transparency across its entire production process. This enables the market leader to perform quick and flexible data analyses, identify the need for action early, and plan production processes based on data insights.
Based on a data platform that captures over 50 data points per machine in real time, automated analysis and visualization of OEE data and machine downtime have been achieved. Reports that previously had to be created manually are now available within minutes. This enables early identification of potential issues, accelerates decision-making, and improves the efficiency of operations management.
To identify parameters responsible for quality deviations, real-time production data is linked with operational processes and continuously analyzed for anomalies using ML models. This enables early detection of quality issues and significantly reduces rejects.
A leading German automotive manufacturer utilizes a solution developed by Device Insight to collect and analyze energy and machine data in real-time. This enables predictions and recommendations that make energy management smarter and more efficient. Peak loads can be minimized, and the integration and utilization of PV systems and battery storage significantly improved.
How companies leverage data as a strategic resource to withstand global challenges – for greater resilience, competitiveness, and innovation.
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