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.
How have other companies implemented this use case?
Discover solution examples from our network
Process data analysis reveals the causes of scrap
26.06.2026Read more →
Camera-based process monitoring increases the quality and efficiency of vacuum systems
01.04.2026Read more →
Reducing scrap and CO2 in extrusion lines with machine data
05.02.2026Read more →
Reducing complaints in adhesive tape production through process data analysis
19.01.2026Read more →
Packaging printing with real-time data: more first-time-right, fewer downtimes
11.12.2025Read more →
Manufacturing data platform scales multiple use cases in food production
20.11.2025Read more →
Optimising packaging lines with IoT-based OEE monitoring
17.10.2025Read more →
Making inaccessible machine data visible – reducing rejects, increasing quality
23.06.2025Read more →
Preventing complaints – process optimisation in minutes instead of days
24.04.2025Read more →
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