Industrial IoT for Manufacturing
OEE and Uptime
Proxus helps manufacturing teams build a clearer view of line performance. Track OEE trends, expose micro-stops, add maintenance context, and connect production data to the decisions that shape throughput and quality.
Manufacturing Data Foundation
From machine connectivity to enterprise integration, a practical foundation for digitizing factory operations. Explore connectivity, review the success story, and see dashboard docs for KPIs.
Real-Time OEE
OEE analysis built from machine signals, production events, and configurable calculation logic.
- ✓ Micro-stop detection
- ✓ Downtime categorization
- ✓ Shift/line comparison
Production Tracking
Structure production context from raw material to finished goods with cycle, batch, and WIP visibility.
- ✓ Work order integration
- ✓ Batch genealogy
- ✓ Real-time WIP
Quality Control
SPC views, defect tracking, and quality workflows to support earlier intervention.
- ✓ SPC/SQC charts
- ✓ Defect Pareto analysis
- ✓ Quality alerts
Predictive Maintenance
Condition monitoring and anomaly detection to support earlier maintenance decisions.
- ✓ Condition monitoring
- ✓ Anomaly detection
- ✓ MTBF/MTTR tracking
Energy Management
Per-machine energy consumption. Correlate with production for true cost-per-part.
- ✓ kWh per machine
- ✓ Peak demand alerts
- ✓ ISO 50001 ready
MES/ERP Integration
Integrate production context with ERP and MES workflows where site requirements call for it.
- ✓ SAP PP/PM integration
- ✓ REST/OPC-UA bridge
- ✓ Real-time sync
Connect Any Machine.
Any Protocol.
Proxus supports 50+ industrial protocols across brownfield and modern equipment. Teams can start with priority assets, then expand coverage as the rollout matures.
Selected Projects
Black Box Operations
Data collection from punch and bending machines was non-existent. Difficulty in optimizing production processes, identifying bottlenecks, and making real-time decisions hindered operational efficiency.
- check_circle Easy integration with Siemens Industrial Edge devices
- check_circle Advanced data collection from Punch & Bending machinery
- check_circle Bi-directional integration with SAP and AWS Cloud
Data Production Gap
Limited data collection from diverse machinery prevented real-time optimization. Energy costs were rising, but without correlation to specific production batches.
- check_circle Unified Namespace integrating OPC UA, Modbus, and MQTT
- check_circle Live integration with Oracle ERP for accurate costing
- check_circle Granular energy analytics per production batch
Related Technical Documentation
Start Building Factory Visibility
Start with one line, one cell, or one reporting gap, then expand toward broader production visibility.