Data-Driven Manufacturing for Improved Performance, Efficiency and Innovation
Designed specifically for manufacturing, the Critical Manufacturing IoT Data Platform is a complete, highly scalable solution that combines IoT, equipment integration, data processing and analytics with contextual intelligence from MES. Based in data-driven decision-making within MES, manufacturers will be able to generate transformative insights to unlock the full potential of their manufacturing processes.
The Critical Manufacturing IoT Data Platform acts as a centralized hub for collecting, processing, and visualizing data from various sources within the manufacturing environment. It comes with all the building blocks to ingest, store, process, transform and analyze data in real-time. Being modular modular, open and extensible, allows new functional blocks to be added and seamlessly plugged-in to the application.
What’s in it for manufacturers?
- Unified Data Sources
By unifying data from disparate sources like machine data, IoT sensors, and ERP systems, the data platform empowers you with a holistic view of your manufacturing ecosystem. - Real-Time Visibility
From production line performance to inventory levels, you will have instant access to crucial production data for proactive decision-making and rapid response to operational challenges. - Predictive Maintenance
The advanced analytics capabilities built into the data platform will enable you to implement predictive maintenance strategies, minimizing downtime and maximizing asset utilization. - Risk Mitigation
Proactive measures, such as condition-based monitoring, real-time diagnostics, and predictive analytics, can help identify and mitigate risks before they impact production. - Production Optimization
From historical data and machine learning algorithms, the data platform can identify patterns and trends within your manufacturing processes. Start optimizing production schedules, streamlining workflows, and increasing overall efficiency. - Centralized Data Access
Data manager allows centralized access to data from various sources simplifying data integration and ensuring consistency across the MES ecosystem.