Companies today face a wide range of challenges: Increasing cost and competitive pressures, new regulations, and geopolitical uncertainties demand a completely new level of agility and adaptability from manufacturing companies. Manual optimizations and isolated solutions are no longer sufficient to meet these new requirements.
The Data-Driven Factory approach brings together cutting-edge technologies and methods. At the core: Seamless data integration – from market demand and production processes to supply chains and energy procurement. This creates the foundation for holistic digitalization and optimization, as well as for the implementation of AI technologies to enable agile and highly efficient production.
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.
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.
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.
The core of a Data-Driven Factory is a central data platform that continuously processes data from across the entire production and beyond to monitor operations in real-time, detect issues early, and increase efficiency through data-driven insights. The Data-Driven Factory combines the strengths of IoT and AI in a holistic approach by integrating IoT-based data collection with AI analytics, thereby enhancing the AI readiness of companies.
Find out in our case study how Gerolsteiner is gaining real-time transparency across its entire production and making its processes more efficient and flexible thanks to a Data Intelligence Platform.
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