Reduce unplanned downtime

Seebo predictive maintenance aggregates machine and factory equipment data with relevant contextual data, including the product skews, raw materials, and quality levels.

The solution combines machine learning algorithms and intuitive digital twin dashboards for maintenance and operations managers to understand how to prevent machine failure in their production lines, how to optimize maintenance scheduling, and the best way to fix an issue for reduced service time and costs.  

Optimize production throughputand quality

With digital twin dashboards of the factory, coupled with performance metrics at every level – from manufacturing processes, specific operations managers get deep visibility into the performance of manufacturing processes, specific assets, and  to improve productivity of the production line.

Using predictive quality, the solution manages the optimal machine configuration for each product, supports root cause analysis of drops in production quantity, and computes the optimal level of quality versus throughput per product. By tracking quality metrics across the shop floor, manufacturers can ensure product uniformity, reduce defective products, and increase throughput.

Track Key Assets

Sensors and RFID technology enable factory personnel to track the exact location of assets and materials on the production floor, as well as track products throughout the supply chain. With increased visibility, compliance adherence is simplified,product quality is monitored, and theft and loss are minimized. In addition, asset configuration data is always up-to-date, and is quickly and easily accessed to improve operational efficiencies.

Smart Factory Solution - Powered by Smart Technology

Digital Factory Prototype  – Get a working digital prototype of your Smart Factory Solution from the Seebo team, customized to your Industrial IoT use cases, including specific dashboards and performance metrics, rules for critical alerts and warnings, required sensors, and a data connectivity blueprint – all within just 2 weeks. Run simulations inside the prototype to ensure completeness of scope and functionality, or present to management to get buy-in.

Data Connectivity  – Seebo integrates data from existing PLCs and sensors, as well as from ERP and other historian data sources. You may also add new non-intrusive sensors to broaden data collection or manually enter data via mobile apps. Data is securely extracted using OPC UA, or your company’s preferred industrial data connectivity protocol.

Machine Learning and AI  – For more advanced data analytics, teams build custom dashboards with actionable insights powered by machine learning and model-based AI. Insights are generated with the analysis of millions of data points from machines alongside historical data on machine failure, repairs, operating conditions and maintenance requirements. This allows operations managers to predict failure, identify performance anomalies, and perform root-cause analysis.

Smart Factory Dashboards  – Users get a unique and intuitive HMI to visualize and analyze the performance of production lines and machines. By drilling through a digital twin of your deployments based on your model – with smart factory software dashboards and alerts at each level of the digital twin – you will quickly pinpoint performance anomalies and their root cause.