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Manufacturing & Industry

Industry 4.0, MES and digital twin — without the PowerPoints.

We help manufacturers with MES integrations, IIoT data, digital twin and predictive maintenance. Architecture built for operations, data quality and OT security.

MES & ERP integration

Connecting production systems with enterprise IT. ISA-95, OPC UA, real-time data.

meserpisa95

IIoT & Edge Computing

Data collection from PLC/sensors, edge processing, real-time alerts on deviations.

iiotedgeplc

Digital Twin

Digital twin of the production line. Simulation, optimisation, predictive scenarios.

digital-twinsimulationoptimisation

Predictive Maintenance

ML on operational data. OEE monitoring, fault prediction, maintenance optimisation.

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OEE

OEE

Overall Equipment Effectiveness — a key manufacturing efficiency metric combining availability, performance and quality.

Příklad z praxe: Connecting lines to the IIoT platform with edge processing: data collection from PLCs, normalisation, OEE calculation and immediate alerts.
+12%
OEE improvement
-40%
Unplanned downtime
-25%
Scrap rate
Real-time
Line data
<8 weeks
MES/ERP integration

Why CORE for manufacturing

Manufacturing has clear KPIs: OEE, scrap rate, lead time. Without quality integration and a unified data model, “Industry 4.0” is just a dashboard with no real impact. We build systems that make a measurable difference on the shop floor.

Časté otázky

Integration via the ISA-95 model and OPC UA. Gradual line connection, parallel running, data validation. No big-bang, no downtime.

Yes. Digital twin based on real operational data — scenario simulation, parameter optimisation, bottleneck prediction before making changes in production.

ML models on PLC and sensor data. Component degradation prediction, automatic work order generation, maintenance window optimisation.

Yes. Edge gateway for data collection even from legacy PLCs — Modbus, PROFINET, OPC DA. Normalisation and transfer to the central platform.

Network segmentation (Purdue model), OT traffic monitoring, access control for control systems. Security without impact on the production process.

We start with an audit — mapping data sources, designing instrumentation and edge infrastructure. Gradual rollout line by line with a fast PoC on the pilot line.

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