CPNET turns your time-series, quality, and operations data into preventive actions—predicting drift, flagging risky windows, and recommending safe recipe changes to keep product in spec.
What is CPNET Scrap Reduction?
CPNET Scrap Reduction is a closed-loop workflow that links process signals → quality outcomes → operator actions. It watches your lines in real time, detects startup scrap and steady-state drift, predicts out-of-spec risk, and (with Rx+) proposes batch-ready recipe suggestions that respect your constraints and step sizes.
Built for: steel, plastics, construction materials, and other continuous manufacturing where scrap is costly and windows are tight.
How customers use CPNET for Scrap Reduction
Connect & baseline
Tie in historian/MES/quality data. Select site/line/product family and define CTQs (e.g., gauge, adhesion, density). CPNET backfills a scrap baseline by grade/shift/line.
Label & detect
Use CPNET’s startup detection (start/end, stabilization) and steady-state detection to separate startup scrap from process drift. Map existing scrap cause codes and lot genealogy.
Find drivers
Run Correlation and Importance analyses (XGBoost+SHAP) to identify variables and ranges associated with scrap events and spec ratio spikes.
Optimize recipes (Rx+)
When risk rises, Rx+ proposes a batch of safe, diverse adjustments (DoE mode) with predicted impact and uncertainty—minimizing changeover and honoring constraints
Prove the win
Track scrap % and cost/ton before/after changes by site/line/grade. Capture tribal knowledge with Insightor notes for repeatable fixes.
Why teams choose CPNET for Scrap Reduction
Fewer surprises, fewer bins
Predictive alerts and guardrails stop drift before it becomes scrap.
From diagnosis to action
Not just dashboards—Rx+ suggestions turn insights into safe setpoints your operators can run.
Transparent & trusted
Every alert and suggestion shows drivers, evidence windows, and confidence (no black box).
Industrial guardrails
Hard/soft constraints, trust regions, step sizes, and change-direction preferences are enforced.
Works with your stack
ClickHouse/SCADA/MES/quality data in; Vue/Hig
Ready to stop paying for waste?
With CPNET, your team predicts scrap before it happens and shifts to safe, data-backed settings in minutes—not days.
Let’s talk. We’ll show Scrap Reduction on your line, with your data.
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