Production parameter optimization
Automatically adjust machine parameters (temperature, pressure, speed) to maximize yield and quality.
+5%
yield increase
The problem
No reliable steering on production parameter optimization.
The current process is manual or inconsistent.
Decisions come too late due to weak signals.
Industrial performance is inconsistent.
Prerequisites: required data & tools
Required data
- Sensor data
- paramètres machines
- qualité produit
Compatible tools
- MATLAB
- Python (Bayesian optimization)
- Sight Machine
Not sure you have the data? Our Maturity Auditor can assess your situation in two weeks.
Explore the Maturity Auditor →What we implement in 9-18 months
In 9-18 months: Automatically adjust machine parameters (temperature, pressure, speed) to maximize yield and quality. with measured impact on yield increase.
Weeks 1-2
Diagnosis
Weeks 3-6
Build
Week 7+
Delivery
Concrete deliverables
Business framing and decision rules for production parameter optimization
Operational engine for production parameter optimization
Steering dashboard with alerts
Action playbook and governance
Expert insight
Yield gains of 2–8% = major financial impact. Requires domain expertise + data.
— Datasive, expertise terrain
Tech maturity
High
Mature solutions, fast deployment
Medium
Maturing tech, requires customization
Emerging
Cutting-edge innovation, R&D approach
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