“No visibility into production metrics, unpredictable downtime.”
Before engaging Maysan Labs
Unplanned Downtime
Maintenance
OEE Tracking
No visibility into production metrics, unpredictable downtime.
IoT platform with predictive maintenance 48 hours ahead.
Assessed 500+ machines, identified data sources and integration points
MQTT broker cluster, real-time stream processing with Python
Trained predictive maintenance models on 2 years of historical data
Real-time dashboards for plant managers, supervisors, and operators
Rolled out across 3 plants, integrated with existing MES and SCADA
TechnoBuilt Industrial gained complete visibility into its manufacturing operations. The predictive maintenance models now provide 48-hour advance warning of equipment failures, reducing unplanned downtime by 65%. Overall Equipment Effectiveness (OEE) improved by 22%, and the system paid for itself within 4 months through avoided downtime and increased production throughput.
“For the first time, we have complete visibility into our production floor. The predictive maintenance alone has saved us millions in avoided downtime.”
Vikram Singh
Director of Manufacturing, TechnoBuilt Industrial
“For the first time, we have complete visibility into our production floor. The predictive maintenance alone has saved us...”
Vikram Singh
Director of Manufacturing, TechnoBuilt Industrial
Have a similar challenge? Let's discuss how we can help your business.
Discuss your project