Manufacturing
Predictive operations, MES-ERP integration, and real-time shop floor visibility for Industry 4.0.
Manufacturing competitiveness in the Industry 4.0 era demands real-time visibility from the boardroom to the shop floor. Statvion Infotech connects enterprise resource planning with manufacturing execution, IoT sensor networks, and predictive analytics — enabling manufacturers to eliminate unplanned downtime, optimise OEE, and drive Lean operations at scale.
Unplanned Downtime & OEE Loss
Reactive maintenance strategies lead to costly production stoppages. Without real-time machine telemetry, downtime events are discovered too late — after output targets have already been missed.
Complex Bill of Materials Management
Multi-level BOM changes across product variants cascade through procurement, production scheduling, and costing — creating errors and delays without an integrated PLM-ERP system.
Lack of Real-Time Shop Floor Visibility
Manual production reporting introduces 4–8 hour data lags, making it impossible for plant managers to respond to quality deviations or production bottlenecks before shift-end.
Predictive Maintenance via IoT Sensor Networks
Vibration, temperature, and current sensors feed ML models that predict equipment failure 48–72 hours ahead — triggering automated maintenance work orders in SAP PM before breakdown occurs.
MES-ERP Integration (SAP PP/QM)
Shop floor events — production confirmations, quality inspection results, scrap postings — flow directly into SAP production orders in real time via OPC-UA middleware, eliminating manual reconciliation entirely.
Real-Time OEE & Production Analytics Dashboards
Plant-level and line-level OEE dashboards built on Power BI or SAP Analytics Cloud give shift supervisors live Availability, Performance, and Quality KPIs with drill-down to individual machine level.
Key Offerings
- SAP S/4HANA Manufacturing (PP, QM, PM) Implementation
- Manufacturing Execution System (MES) Integration
- IoT Sensor Networks & Edge Computing Platforms
- Predictive Maintenance AI Models & Dashboards
- OEE Monitoring & Real-Time Production Analytics
- SAP Plant Maintenance (PM) & Enterprise Asset Management (EAM)
- Quality Management System (QMS) Automation
- Lean Manufacturing & Six Sigma Digital Tools
- Factory Floor Barcode, RFID & Vision System Integration
- Digital Twin Modelling for Production Lines
Core Benefits
- 25% reduction in unplanned machine downtime via predictive maintenance IoT
- Real-time shop floor data with sub-5-minute latency into SAP ERP
- Automated quality inspection results eliminating manual QM entry
- BOM change management with cascading cost impact simulation
- Lean ERP configuration reducing production cycle times by up to 20%
"Implemented an IoT-driven predictive maintenance system for a Tier-1 automotive supplier — integrating 140 CNC machines with SAP PM via OPC-UA middleware — reducing unplanned downtime by 25% and improving OEE from 71% to 84% within 9 months."
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