Track machine performance and calculate Overall Equipment Effectiveness in real-time
Monitor machine uptime, production cycles, reject rates, and downtime causes. Automatically calculate OEE metrics and identify opportunities for improvement. Transform production data into actionable insights.
Manual production tracking misses optimization opportunities and hides efficiency losses
Without real-time monitoring, production managers see only summary data from end-of-shift reports. Efficiency losses go unnoticed throughout the day.
Machine stops without clear cause attribution. Operators' verbal explanations may not capture root causes. Downtime analysis is delayed and incomplete.
Reject rates and quality issues may not be immediately connected to production conditions. Root cause analysis requires manual investigation and data compilation.
Without real-time OEE calculation, you can't identify performance trends or set improvement targets. Equipment baseline is unclear.
Comprehensive production metrics for OEE calculation
Real-time operational status and availability tracking with downtime event logging
Production cycle completion with rate comparison to theoretical maximum speed
Quality defect tracking with correlation to production conditions
Length and frequency of production stops with cause categorization
Real-time Overall Equipment Effectiveness calculation and trending
Downtime and reject cost quantification for prioritization
From sensor to actionable production intelligence
Install proximity, pressure, or vibration sensors on production equipment. Integrate with machine PLC or use wireless gateways. Track cycle sensors and downtime triggers.
Sensors and PLC data transmitted every 1-5 seconds. Event logging for production starts, stops, and quality checks. Local storage and processing.
Real-time OEE calculation: Availability × Performance × Quality. Automatic identification of improvement opportunities and trend analysis.
Immediate alerts on OEE drops. Historical analysis identifies patterns. Performance benchmarking against targets and peer lines.
Production monitoring from equipment to analytics dashboard
Cycle detection and machine position monitoring
Operational state and fault condition detection
Anomaly detection and equipment stress monitoring
Direct connection to machine controllers via industrial protocols
Real-time calculation with availability, performance, quality metrics
Real-time and historical production analytics with drill-down analysis
Comprehensive production monitoring with standard OEE methodology. No dependency on external systems.
Integration with minimal production disruption
Equipment survey and control system documentation. Baseline production metrics collection. OEE baseline calculation. Sensor point identification.
Mounting sensors on production equipment. PLC integration and protocol configuration. Gateway deployment. Network connectivity setup.
OEE model configuration. Reject reason categorization. Performance target setting. Dashboard customization. Operator training.
Real-time OEE monitoring and alerting. Weekly performance reviews. Continuous improvement tracking. Predictive maintenance integration.
Measurable improvements in equipment performance and output
Average throughput improvement through downtime reduction and performance optimization within first year.
Reduction in reject rates through real-time condition monitoring and process optimization.
Elimination of manual data collection and reporting. Automated shift summaries and OEE reporting.
Return through increased output, quality improvement, and labor reduction across production lines.
Production environments demanding performance visibility
Assembly lines, stamping, injection molding with high throughput targets
Packaging lines, filling equipment, quality tracking for food production
CNC machines, multi-spindle operations, high-precision assembly
Compliance-driven production with traceable downtime and quality records
Weaving, knitting, sewing operations with continuous quality monitoring