CPNET turns Design of Experiments into an adaptive, data-driven loop—so your team gets to better settings faster, with guardrails and full transparency.
What is CPNET DOE?
CPNET DoE is an adaptive experimentation feature in Rx+ that replaces a static, manual DoE. Instead of pre-planning every run, CPNET learns from your historical and live process data, proposes a batch of safe, diverse next settings, explains why they were chosen, and keeps improving as results come back.
Perfect for: steel, plastics, construction materials, and other continuous manufacturing lines where downtime is expensive and process windows are tight.
How customers use CPNET for DOE
Connect & scope
Hookup your historian/SCADA and pick the line, product/grade, and the quality or throughput target.
Define factors & constraints
Choose controllable variables (with bounds/step sizes) and any quality or equipment limits you must respect.
Get a batch of recommendations
CPNET suggests 3–5 candidate recipes that balance exploration with exploitation, honor constraints, and minimize changeover when you run them.
Execute, capture, iterate
Run the suggestions, record actual outcomes (auto-pulled or entered), and CPNET updates predictions and uncertainty for the next batch.
Decide with confidence
See predicted impact ± uncertainty, feasibility, and top drivers for each recommendation—then lock in the settings that work.
Why teams choose CPNET DoE
Faster learning, fewer runs
Adaptive batches focus trials where they matter, cutting time and material compared to fixed fractional designs.
Built-in industrial guardrails
Hard/soft constraints, trust regions, and live checks keep suggestions inside safe, realistic operating windows.
Transparent by design
Every recommendation comes with predicted outcome, uncertainty bands, feasibility, and factor importance—no black boxes.
Works with your stack
Pulls context from your existing data sources; surfaces results in dashboards your engineers already use.
Designed for continuous manufacturing
Optimizes start-ups, grade changes, and steady-state tuning across lines making steel, films/sheets, membranes, insulation, and more.
Ready to modernize your DOE?
Give your R&D and process teams a faster path to optimal settings—without the overhead of large, static test plans.
Let’s talk. We’ll show CPNET DoE on your line, with your data.
- Get Started
