Track cycle times, utilization, and throughput
Transparency over production performance and runtimes. By capturing pulse counts, cycle times, utilization, and throughput directly at the machine, production processes become continuously measurable. The resulting data provides a reliable basis for analyzing runtimes, downtimes, and performance deviations of individual assets or production lines.
These people have implemented this use case
Contacts from our partner companies. Open a profile to get in touch directly.









Assets where this use case was implemented
Machines, devices and plants from the projects. The number shows how often.
How have other companies implemented this use case?
Discover verified projects from our network






Monitoring injection mould cooling via IO-Link to cut energy use
From gut feeling to hard data: at RAFI in Bad Waldsee, sensors and the moneo IIoT platform make the injection moulding process transparent. Temperatures, flow rates, compressed air and energy consumption are recorded, visualised and analysed continuously.







Reconfiguring production lines flexibly with the asset administration shell
At the Bosch Rexroth model factory, the Asset Administration Shell connects machines in a standardised way. XITASO adds brownfield machines with a function block.




Protecting mobile racking from downtime through condition monitoring




Detecting compressor operating states based on current consumption








Digital service portal as a white-label solution







Reducing scrap and CO2 in extrusion lines with machine data







Interface connection for CNC machines in live operation




OEE transparency in packaging production – 15% fewer downtimes








Standardised machine connectivity and secure integration via Edge Layer
This use case has already been implemented. We know the people behind it.
Just ask us. We look up how your use case has already been implemented and put you in touch personally.
IoT Building Blocks
Have a concrete IoT project in mind?
We know the vendors who've already done it.
