What is CPNET Seasonal Optimization?

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Seasonal Optimization ties ambient conditions (humidity, temperature, dew point) to your process, quality, and alarms. It learns seasonal/diurnal patterns, flags risk windows (e.g., humid mornings, dry winter nights), and—if enabled—proposes small, constraint-safe recipe offsets so production stays on target year-round.

Built for: steel, plastics, construction materials, and other continuous manufacturing where ambient conditions affect moisture, adhesion, viscosity, cooling, and startup stability.

How customers use CPNET for Seasonal Optimization

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Connect & baseline

Map ambient sensors (or a weather feed) to sites/lines. CPNET backfills seasonal baselines for CTQs (Cpk/spec-ratio), startup duration, scrap %, throughput, and alert load by month, shift, and time-of-day.

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Detect regimes

CPNET clusters ambient regimes (e.g., Dry–Cold / Mild / Hot–Humid) and quantifies how each regime shifts quality and stability for every grade/line.

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Find drivers

Driver analysis (correlation + SHAP) surfaces which setpoints & ranges are most sensitive to humidity/temperature—e.g., die zones, solvent ratios, cooling flows, casting speed.

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Guardrails & checklists

Create seasonal guardrails (bounds, preheat/soak steps, ramp profiles) and handover checklists that auto-apply when a regime is active.

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(Optional) Proactive tuning (Rx+)

When a forecast or sensor trend shows a regime change approaching, Rx+ proposes a batch of 3–5 small, safe adjustments (changeover-aware) to keep CTQs centered without overcorrection.

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Prove the impact

Track before/after Cpk, scrap %, startup time, energy/ton, alert mix by regime and season. Share a Season Report in monthly ops reviews.

Why teams choose Seasonal Optimization

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No more seasonal whiplash – Act before quality drifts with regime-aware alerts.

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Guardrails over guesswork – Season-specific bounds, ramps, and SOPs make tribal knowledge repeatable.

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Proactive, not reactive – Forecast-driven views and (optional) Rx+ offsets prevent scrap and rework.

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Transparent & trusted – Each recommendation shows predicted impact, uncertainty, and the ambient drivers behind it.

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Works with your stack – Historian/MES/LIMS + ambient sensors (or weather feed) in; dashboards, alerts, and reports out.

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Ready to weather-proof production?

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We’ll stand up Seasonal Optimization on your data and build your first Seasonal Playbook—so ambient swings stop swinging your KPIs.