Waste Reduction
High scrap rates burden production in many operations in our network and increase costs. IoT sensors and data analysis help to identify and eliminate error sources at an early stage. Real-time monitoring of machine parameters minimizes quality fluctuations and sustainably reduces scrap.
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Assets where this use case was implemented
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Process data analysis reveals the causes of scrap




Camera-based process monitoring increases the quality and efficiency of vacuum systems







Reducing scrap and CO2 in extrusion lines with machine data







Reducing complaints in adhesive tape production through process data analysis




Packaging printing with real-time data: more first-time-right, fewer downtimes






Manufacturing data platform scales multiple use cases in food production








Optimising packaging lines with IoT-based OEE monitoring




Making inaccessible machine data visible – reducing rejects, increasing quality






Preventing complaints – process optimisation in minutes instead of days
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