Maintenance
Upkeep and repair of machinery and equipment.
The Backbone of Uptime: Maintenance & Reliability Analytics
The maintenance department is crucial for ensuring equipment reliability and maximizing production uptime. By analyzing data from various sources, this function moves from a reactive 'fix-it' model to a proactive, predictive strategy, minimizing disruptions and extending asset lifespan.
| Data Source | Description | Importance |
|---|---|---|
CMMS/EAM | Manages work orders, asset history, and maintenance schedules. The core system for maintenance. | Mandatory |
IIoT Sensors (Vibration, Temp) | Real-time data from equipment used for condition monitoring and predictive analytics. | Mandatory |
ERP System | Contains data on spare parts inventory, procurement, and maintenance-related costs. | Important |
MES/SCADA | Provides context on machine operational status, downtime events, and production schedules. | Important |
Spare Parts Inventory System | Detailed data on stock levels, consumption rates, and supplier lead times for parts. | Optional |
Available Dashboards
Select a dashboard to gain insights into your operations.
Real-time monitoring of machine condition, run status, sensor readings.
Descriptive
Tracks maintenance requests, work orders, completion times, and backlog.
Descriptive
Analyzes causes of unplanned downtime, frequency, and duration by machine.
Diagnostic
Forecasts equipment failures using sensor data and historical logs to plan maintenance.
Predictive
Optimizes maintenance schedules based on predicted failures, workload, and resource availability.
Prescriptive
Tracks spare parts usage, stock levels, lead times, and reorder status.
Descriptive & Diagnostic
Monitors maintenance costs, labor efficiency, and impact on production uptime.
Descriptive & Diagnostic
Investigates root causes of maintenance failures and recurring issues.
Diagnostic