🔧 EIS Module
Equipment Information System - comprehensive solution for equipment, asset and maintenance management with IoT integration and predictive analytics
🎯 Key Business Problems
Unplanned equipment downtime
→ production and revenue losses
High repair costs
→ reactive maintenance more expensive than planned
Low utilization efficiency
→ equipment not operating at full capacity
Difficulty in planning maintenance
→ unclear when and what to service
✅ Solutions
Emergency Stoppage Prevention
Failure prediction 2-4 weeks in advance, 30-50% downtime reduction
Maintenance Cost Optimization
Transition from reactive to predictive maintenance, 20-40% savings
Performance Enhancement
15-25% OEE growth through operating mode optimization
Risk Management
Critical equipment monitoring, accident minimization
Spare Parts Optimization
Accurate demand planning, warehouse stock reduction
🚀 Key Features
1. Equipment Condition Monitoring
- Real-time monitoring: IoT sensor integration
- Telemetry: Collection of temperature, vibration, pressure data
- Health scoring: Automatic condition assessment (0-100%)
- Alert management: Instant notifications
2. Digital Twins
- Virtual models: Digital copies of physical equipment
- Simulation: Behavior modeling under different conditions
- Predictive modeling: State forecasting
- What-if analysis: What-if scenario analysis
3. Predictive Maintenance
- Machine Learning: ML models for failure prediction
- Anomaly detection: Anomaly identification
- Failure prediction: Failure probability prediction
- Risk assessment: Risk evaluation
4. Maintenance Management
- Maintenance workflows: Maintenance order management
- Component tracking: Component monitoring
- Maintenance history: Complete maintenance history
- Compliance tracking: Regulatory compliance
5. Efficiency Analytics (OEE)
Overall Equipment Effectiveness: Availability × Performance × Quality
- MTTR/MTBF: Mean time to repair/between failures
- Equipment utilization: Equipment utilization rates
- Energy efficiency: Energy efficiency metrics
6. Spare Parts Management
- Spare parts catalog: Spare parts catalog management
- Stock optimization: Inventory optimization
- Demand forecasting: Demand forecasting
- Cost tracking: Cost monitoring
🏗️ Technical Architecture
IoT Integration Architecture
IoT Sensors → Edge Computing → Message Queue → Analytics Engine → Dashboard
↓ ↓ ↓ ↓ ↓
Equipment → Preprocessing → MQTT/Kafka → ML Models → Real-time UI
Digital Twin Architecture
Physical Equipment → IoT Data → Digital Model → Simulation → Predictions
↓ ↓ ↓ ↓ ↓
Sensors/Controllers → Streaming → State Sync → AI Engine → Actions
Cross-BC Integration
🔧 EIS BC → WFM (Maintenance Tasks)
📦 EIS BC → PLM (Spare Parts)
📍 EIS BC → Positioning (Equipment Location)
🏭 EIS BC → Core (Asset Registry)
📊 Analytics Capabilities
Equipment Health Analytics
- Health score: 0-100% condition assessment
- Anomaly detection: identification of deviations
- Prediction accuracy: prediction accuracy
- Alert response time: response time
Maintenance Analytics
- Planned vs unplanned: maintenance ratio
- Cost analysis: maintenance costs
- Compliance rate: compliance level
- Performance trends: efficiency trends
Efficiency Analytics
- OEE metrics: overall equipment effectiveness
- Utilization rates: utilization rates
- Energy consumption: energy consumption
- Quality metrics: quality metrics
🔒 Security and compliance
- Safety protocols, Emergency shutdown, Access control, Regulatory compliance
🏭 Industry applications
Manufacturing (assembly lines, CNC machines), Energy (power plants, wind turbines), Oil and gas (drilling equipment, pipelines)
📈 KPIs and Results
🚀 Benefits
For Business
- 30-50% downtime reduction
- Maintenance optimization - 20-40% cost savings
- 15-25% OEE efficiency improvement
- Failure prediction - 70-80% prevention
For IT
- Scalability - from units to thousands of units
- IoT integration - various sensor types
- ML ready - built-in algorithms
- Real-time - instant data processing
🎯 Practical Scenarios
Manufacturing Company
- Predictive maintenance: 60% downtime reduction
- OEE optimization: +25% efficiency
- Quality control: -40% waste
Energy Company
- Asset monitoring: Critical equipment
- Energy efficiency: Consumption optimization
- Compliance: Regulatory requirements
Transportation Company
- Fleet management: Fleet control
- Fuel optimization: Fuel consumption
- Maintenance planning: Maintenance scheduling
🎯 EIS Module - Your Solution
Comprehensive platform for equipment management with IoT integration, predictive analytics, and digital twins
*Optimize equipment, predict failures, boost efficiency!*
📞 Next Steps
- Demo presentation of technical capabilities
- Pilot project in manufacturing/energy
- Integration with existing systems
- Scaling across the entire organization
EIS Module - The Future of Equipment Management is Here! 🚀