Assets, locations, hierarchies, and criticality are tracked in one record.
- Hierarchical asset trees
- Criticality and condition scoring
- Warranty, lease, and document tracking
- Asset history with movements and status changes
EAM 9 feature areas
Enterprise Asset Management.
Assets, work orders, and spare parts. Maintenance that actually keeps the line running.
Maintenance work is planned, dispatched, executed, and closed with evidence.
- Corrective, preventive, and predictive work types
- Parts reservation and issue
- Labor and time capture
- Failure code and root-cause reporting
Calendar, meter, route, and usage triggers create work before failures.
- Time-based PM cycles
- Meter-based PM triggers
- Route-based PMs
- Auto work-order generation and skipped-PM reporting
Sensor data and condition signals help surface failures earlier.
- IoT signal ingestion
- Vibration and temperature monitoring
- Anomaly detection
- Predicted-failure alerts with work-order creation
Storeroom inventory stays linked to the assets and jobs that consume it.
- Asset-to-part linkage
- Critical spare designation
- Min-max replenishment
- Work-order issue and return flows
Usage data drives PMs, warranties, and asset performance history.
- Hour, cycle, mileage, and custom meter types
- Mobile meter reading capture
- Exception alerts for unusual readings
- Usage-based maintenance forecast
Technicians can execute work from the floor, field, or plant.
- Mobile work order list
- Checklist, photo, and note capture
- Barcode asset lookup
- Offline-ready work capture patterns
Labor, parts, downtime, and outside service costs roll up by asset.
- Planned versus unplanned cost tracking
- Budget and variance views
- Cost per asset, site, and category
- Financial handoff for capitalization or expense
Asset performance is measured over time, not only after a breakdown.
- MTBF and MTTR tracking
- Failure trend analysis
- Bad-actor asset lists
- Preventive versus reactive maintenance ratio
EAM FAQ
Enterprise Asset Management — questions buyers actually ask.
Does NexliOne EAM support preventive and predictive maintenance?
NexliOne is designed to support this workflow. NexliOne EAM covers calendar-based PMs, meter-based triggers, route-based PM cycles, and predictive maintenance driven by IoT signal ingestion, vibration and temperature monitoring, and anomaly detection. Predicted-failure alerts can generate work orders before equipment goes down.
Can NexliOne EAM ingest IoT sensor data for condition-based monitoring?
NexliOne is designed to support this workflow. The predictive-maintenance area ingests IoT signals, runs anomaly detection, and emits predicted-failure alerts that can create work orders. Sensor data is stored alongside the asset history so MTTR and recurrence patterns are visible per asset.
How does NexliOne EAM handle spare parts inventory tied to assets?
Spare parts are linked to the assets they serve, with critical-spare designation, min-max replenishment, asset-to-part mapping, and spares forecasting. When a work order issues parts, the asset history reflects the issue and the inventory is decremented current.
Does NexliOne EAM include a mobile technician interface for work orders?
NexliOne is designed to support this workflow. Technicians see work orders, parts reservations, time capture, failure code reporting, and labor capture from a mobile device. Work orders close on the device and roll up to per-asset cost in the asset history immediately.
Can NexliOne EAM track meter readings and usage-based PM cycles?
NexliOne is designed to support this workflow. Meter readings (hours, cycles, miles, custom units) drive usage-based PM triggers alongside calendar PMs. The system prevents skipped PMs from going unnoticed with skipped-PM analysis and reporting against your maintenance program.
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