Stop using your plant as the experiment.
Cauza finds what really drives your KPIs and tests your ideas on a virtual model of your line, before you touch the real one.
Your plant produces millions of data points a day.
Dashboards show what happened.
Predictions guess what happens next.
Nobody tells you what to change.
Scrap rises every night shift.
Everyone blames the night crew.
The real cause: the hall gets cold, and so do the molds.
So teams experiment on the live line.
One change a week. Every trial costs output and scrap.
- Week 1: Slow the lineResult: no change
- Week 2: Retrain crewResult: no change
- Week 3: New supplierResult: unclear
Cauza tests it on a virtual model of your line first.
Built from the data you already have. No new sensors.
Understand.
What really drives your KPI, and what just moves along with it.
Simulate every option.
Your team's ideas and Cauza's, tested side by side.
Illustrative example.
- Preheat molds before night shiftCauza-18%
- Raise mold temp at nightYour team-14%
- Switch supplierSide effect: +3% costYour team-7%
- Slow line speedSide effect: -5% outputCauza-5%
- Retrain night crewYour team0%
Decide, down to the detail.
Which machine. What time. What to watch.
Ask Cauza why, anytime.
- Molds 3 and 7
- Preheat at 21:30
- Watch scrap rate
Our focus: discrete manufacturing.
The same method works wherever guessing is expensive.
Discrete manufacturing
Process manufacturing
Supply chain
Start like you would with a consultant.
Low effort to start: one KPI and a few hours of your team's time.
- One KPI
- Your data and experts
- One change to test
Supported by
Das Vorhaben Insytes wird im Rahmen des EXIST-Programms durch das Bundesministerium für Wirtschaft und Energie und den Europäischen Sozialfonds Plus (ESF Plus) gefördert.
Bring one KPI and thirty minutes.
We'll tell you honestly whether Cauza fits your line.