Industrial IoT for Manufacturers
Supercharge your digital transformation
Industrial IoT – driving transformation in manufacturing
By improving real-time visibility, you can empower your plant operatives to make data driven decisions. Companies can now prevent unplanned downtime, by monitoring the performance and health of their assets and then use predicative maintenance to service those assets before they fail.
Increase flexibility and agility
Companies who create real visibility of their assets and operations can empower their plant operatives to make data driven decisions. By getting the right information to the right person at the right time, we can help you greatly increase your flexibility and agility.
Predict the probability of asset failure and optimise maintenance and repair schedules to minimise disruptions and extend the life of assets. Predictive analytics detects asset anomalies and helps prevent problems before they happen.
Reduce maintenance costs
Make your technicians more effective and give them the tools they need to lower maintenance costs by predicting maintenance issues before breakdowns occur. Detect any irregularities quickly and with ease and avoid expensive and unexpected repairs.
Monitor and control remote assets
Monitor networks, devices and asset performance and security, all remotely. Access data from edge devices that were previously out of reach. Receive detailed reports and real-time alerts on network health and device conditions.
Create digital twins
By creating digital twins, you can increase the reliability of your assets and operations. Achieve improved OEE through reduced downtime and improved performance. Create new business opportunities such as mass customisation, mixed manufacturing, small-batch manufacturing, and more.
Enable machine learning
Streaming real-time granular data from edge devices gives you greater insight and allows you to see when assets are running outside of their normal parameters. This can be modeled and automated responses can be performed based on outcomes.