Scrap optimization
Less waste. More quality. Greater efficiency.
Scrap optimization: measurably improve quality – data-based and automated
Every scrap part costs – material, time, machine performance and trust. Our scrap optimization solution systematically identifies sources of defects, predicts quality problems and supports you in the continuous improvement of your production processes.
With the help of modern data analysis and AI, you can detect anomalies, correlations and causes at an early stage – even before quality problems become visible. The result: less rework, fewer material losses, more stable processes and better customer satisfaction.
Fewer errors, better processes, sustainable savings
Reject optimization – your solution for predictive quality & process reliability.
Rely not only on random samples – but on systematic, learning quality monitoring.
Data-driven root cause analysis
Our models analyze production data, machine signals, environmental conditions and recipes to precisely identify the causes of rejects.
Early detection of quality risks
With time series analysis and AI prediction models, you can detect fluctuations that lead to quality losses - before they are reflected in rejects.
Automatic tracking & clustering
Summarize rejects according to similarity patterns and identify serial defects or batch problems more quickly.
Recommendations for action in real time
Systems automatically suggest optimization measures - e.g. adjustment of parameters, maintenance requirements or material changes.
At a glance
Your benefits with intelligent reject optimization
Cost savings
Reduce reject rates and rework – through preventive process control.
Quality improvement
Increase the first-pass yield rate through data-based root cause analysis.
Transparency & traceability
Understand scrap patterns across lines, products or layers.
Speed of reaction
Eliminate problems as they arise – before they become noticeable in the output.
Scalability
Transfer optimization models to other machines, lines or locations.
Support
How we support you in optimizing rejects
Data acquisition & integration
We connect sensor, production and quality data - structured, historical and live.
Interested?
Let us check together which data offers potential for your quality optimization.
Request now
Analysis models & causal logic
Our algorithms identify relevant influencing variables and visualize complex relationships.
Curious?
Test Predictive Quality in a pilot area with scrap problems.
Make an appointment
Visualization & quality dashboards
Use interactive dashboards to monitor scrap, KPIs and root cause analyses - live and historically.
Convinced?
Start with a prototype and improve your line quality in a targeted manner.
Get in touch with us
Iterative optimization & support
Our experts support you in the continuous reduction of rejects - data-supported, sustainable, measurable.
Find out more?
Use your production data as a tool for quality improvement - with intelligent scrap optimization!
To the project inquiry
Project request
Less waste. More quality. Higher yield.
Our scrap optimization solution makes your production more efficient and robust. Request a consultation now!
Dr. Michael Mederer
Chief Executive Officer
Contact us:
Dr. Michael Mederer
Chief Executive Officer
ed.no1768385838cyh2m1768385838@mm1768385838
+49 (0) 40 – 369 397 93