Production
Core manufacturing and assembly operations.
The Core Engine: Production & Operations Analytics
The production department is the epicenter of value creation, where raw materials are transformed into finished products. Its performance is governed by a sophisticated ecosystem of data systems and analytics. The modern shop floor generates a torrent of data from multiple interconnected systems that form a hierarchy of control and information.
| Data Source | Description | Importance |
|---|---|---|
SCADA | Real-time 'nervous system' monitoring and controlling physical processes (temperature, pressure, etc.). | Mandatory |
MES | The 'brain' of the shop floor, managing production from work order to finished goods. | Mandatory |
ERP System | Provides master data like BOMs and production orders for context. | Important |
Quality Systems (QMS) | Data on in-process quality checks, defects, and deviations. | Important |
Machine Data (MDC) | Specialized systems capturing machine run times, stops, output counts, and alarms. | Important |
Manual Operator Logs | Contextual data from operators via HMIs, like reasons for downtime or qualitative observations. | Important |
Available Dashboards
Select a dashboard to gain insights into your operations.
Core operational KPIs: production volume, uptime, yield, scrap; essential for daily monitoring.
Descriptive
Analyzes machine run rates, idle times, bottlenecks for efficiency improvements.
Diagnostic
Optimizes schedules based on demand and capacity; critical for throughput and lead time management.
Prescriptive
Forecasts future production volumes with AI-driven insights for proactive planning and resource allocation.
Predictive
Monitors raw materials, energy consumption for cost and sustainability management.
Diagnostic
Uses AI to detect inefficiencies and suggest improvements to enhance productivity.
Cognitive