Digitization of production brings new tools for monitoring, analysis and data processing. Storage and sharing of data in the cloud can be used for simulation of individual processes, their optimization and prediction. By engaging artificial intelligence and creating a digital twin, all processes can be simulated. The evaluated data can then be used for design, operation and long-term management and service.
Benefits of IoT maintenance prediction
The tool comes as a service (SaaS) with a scalable pricing model allowing for an individually calculated return on investment.
Correct identification of returnability (RoI) in a particular predictive maintenance project is a matter of identifying relevant key performance indicators (KPIs) in each particular case and monitoring the impact of deployment on each of them.
reduction in maintenance costs
of increase in productivity of maintenance staff
reduction in unplanned machine downtime
improvement in accuracy of outage forecasts