Potential product changes can first be simulated virtually and then
implemented in reality. Real knowledge of energy consumption, for example, is
then fed back into the virtual twin.
Another example: quality data from production can be stored in an IIoT
(Industrial Internet of Things) system like MindSphere and retrieved by the
person processing the glass. This not only saves time but also makes it
easier to achieve all the relevant KPIs (key performance indicators), whether
they’re quality parameters, productivity and efficiency targets, or the use
of resources.
„Our pledge is to enable data-based processes for all the stakeholders
in the supply chain. But the actual added value comes from a comprehensive view
of the value chain. The ideal situation is when you have a uniform database and
the necessary information is forwarded to the correct interfaces.”
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