SapienStream

Performance Excellence

Foundation Ready

Optimize manufacturing performance through data-driven insights. Foundation infrastructure is ready with basic performance tracking capabilities operational.

Current Performance Tracking

Machine Monitoring
Foundation Ready
Real-time machine status tracking and basic performance metrics collection.
Machine status indicators
Tag value monitoring
Timestamp tracking
Quality status recording
Configuration Management
Implemented
Centralized machine and tag configuration with semantic tagging capabilities.
Machine registry management
Tag definition and metadata
Semantic categorization
API-based configuration

Planned Performance Features

OEE Calculation
Planned
Overall Equipment Effectiveness metrics with availability, performance, and quality tracking.
Availability percentage
Performance efficiency
Quality rate tracking
Composite OEE scoring
Historical OEE trending
Downtime Analysis
Planned
Comprehensive downtime tracking and categorization for root cause analysis.
Downtime event detection
Reason code classification
Duration calculation
Pareto analysis
Trend identification
Throughput Optimization
Planned
Production rate analysis and optimization recommendations for maximum throughput.
Cycle time monitoring
Production rate calculation
Bottleneck identification
Capacity utilization
Optimization recommendations
Energy Efficiency
Planned
Energy consumption tracking and efficiency optimization across manufacturing operations.
Power consumption monitoring
Energy per unit calculations
Peak demand analysis
Cost optimization
Sustainability metrics

Current Performance Data Access

Machine Performance Monitoring
Track basic performance metrics through our current API endpoints
# Get machine status and basic metrics
curl https://sapienstream.com/api/machines/injection_press_001 \
  -H "Authorization: Bearer your_jwt_token"

# Response includes current machine state
{
  "id": "injection_press_001",
  "name": "Injection Molding Press 1",
  "type": "INJECTION_MOLDING",
  "status": "RUNNING",
  "location": "Production Floor A",
  "last_updated": "2024-01-15T10:30:00Z",
  "tags": {
    "cycle_time": {
      "value": 45.2,
      "unit": "seconds",
      "quality": "GOOD"
    },
    "parts_produced": {
      "value": 1247,
      "unit": "count",
      "quality": "GOOD"
    },
    "temperature": {
      "value": 185.5,
      "unit": "celsius",
      "quality": "GOOD"
    }
  }
}

# Monitor specific performance tags
curl https://sapienstream.com/api/machines/injection_press_001/tags/cycle_time \
  -H "Authorization: Bearer your_jwt_token"
Performance Data Collection
Write performance data and track metrics over time
# Record cycle completion
curl -X POST https://sapienstream.com/api/machines/injection_press_001/tags/cycle_time/write \
  -H "Authorization: Bearer your_jwt_token" \
  -H "Content-Type: application/json" \
  -d '{
    "value": 42.8,
    "quality": "GOOD",
    "timestamp": "2024-01-15T10:35:00Z"
  }'

# Update production count
curl -X POST https://sapienstream.com/api/machines/injection_press_001/tags/parts_produced/write \
  -H "Authorization: Bearer your_jwt_token" \
  -H "Content-Type: application/json" \
  -d '{
    "value": 1248,
    "quality": "GOOD",
    "timestamp": "2024-01-15T10:35:00Z"
  }'

# Record quality metrics
curl -X POST https://sapienstream.com/api/machines/injection_press_001/tags/defect_rate/write \
  -H "Authorization: Bearer your_jwt_token" \
  -H "Content-Type: application/json" \
  -d '{
    "value": 0.02,
    "quality": "GOOD",
    "timestamp": "2024-01-15T10:35:00Z"
  }'

Planned KPI Framework

Key Performance Indicators
Comprehensive metrics framework for manufacturing excellence

Production KPIs

Overall Equipment Effectiveness (OEE)
Availability Rate
Performance Efficiency
Quality Rate
Throughput Rate

Efficiency KPIs

Cycle Time Optimization
Setup Time Reduction
Energy Efficiency
Material Utilization
Labor Productivity

Quality KPIs

First Pass Yield
Defect Rate
Scrap Rate
Rework Rate
Customer Complaints

Maintenance KPIs

Mean Time Between Failures (MTBF)
Mean Time to Repair (MTTR)
Planned vs. Unplanned Downtime
Maintenance Cost per Unit
Preventive Maintenance Compliance

Development Timeline

Performance Excellence Roadmap
Our planned approach to comprehensive performance optimization

Phase 1: Core Metrics (Foundation)

Implement fundamental performance calculations and KPI framework.

• OEE calculation engine
• Availability tracking
• Basic downtime analysis
• Cycle time optimization

Phase 2: Advanced Analytics (Next)

Add sophisticated analysis capabilities and trend identification.

• Performance trending
• Predictive maintenance indicators
• Energy efficiency tracking
• Quality correlation analysis

Phase 3: Optimization Engine (Future)

Intelligent recommendations and automated optimization suggestions.

• Performance optimization recommendations
• Bottleneck identification
• Capacity planning tools
• Cost optimization analysis

Phase 4: Continuous Improvement (Advanced)

Self-learning systems and continuous improvement automation.

• Machine learning optimization
• Automated performance tuning
• Predictive performance modeling
• Industry benchmarking

Foundation Ready for Performance Excellence

The infrastructure is in place to begin advanced performance tracking:

Machine registry with detailed metadata
Tag-based data collection system
Timestamp and quality tracking
API access for performance data
Ready for KPI calculation implementation