Asset KPIs
Calculate key performance indicators per asset — reliability, events, maintenance — in daily, weekly, and monthly periods, with snapshot history for trend tracking.
Asset KPIs
Asset KPIs transform each equipment's operational data into concrete, comparable metrics. Instead of working with raw signals or individual alarms, the module calculates industry-standard indicators — availability, reliability, mean time between failures — for each asset over defined periods. The result is a quantitative view of each equipment's individual performance that serves as the basis for prioritizing investments and planning maintenance.
While the AHI is a weighted general health index, KPIs are independent, measurable metrics that speak the same language as engineers, managers, and auditors. A KPI report can be presented in an executive meeting, compared against industry benchmarks, or used to justify replacing a piece of equipment.
The snapshot history lets you see how these indicators evolve over time — an asset may have a good MTBF today but show a sustained downward trend over 6 months, which is as important a warning signal as the current value.
What is it for?
Raw operational metrics (number of alarms, downtime) are useful for the shift operator, but not for making strategic decisions. Standard KPIs allow you to communicate equipment performance in terms that are meaningful to the entire organization and can be compared against internal histories or industry references.
Asset KPIs allow you to:
- Measure the individual reliability of each piece of equipment with standard metrics (MTBF, MTTR, availability)
- Track trends with historical snapshots over configurable periods
- Calculate KPIs in batch for an entire fleet or complete area
- Prioritize maintenance investments based on quantified performance
- Generate equipment performance reports for management meetings
- Detect gradual deterioration that doesn't generate critical alarms but slowly degrades KPIs
How does it work?
The system calculates KPIs by processing the asset's operational events (alarms, shutdowns, maintenance interventions, state changes) within the requested period. The calculation is organized into three categories:
Category: Reliability
| KPI | Formula | Description |
|---|---|---|
| MTBF | Operating hours / Number of failures | Mean time between failures — how long it runs before failing |
| MTTR | Repair hours / Number of repairs | Mean time to repair — how long it takes to return to operation |
| Availability | (Operating hours / Total hours) × 100 | Percentage of total time the equipment was available |
| Reliability | e^(-λt) where λ = 1/MTBF | Probability of operating without failure in the period |
Category: Events
| KPI | Description |
|---|---|
| Total alarms | Number of alarms generated in the period |
| Critical alarms | High or critical level alarms |
| Mean resolution time | Average hours from alarm to closure |
| Recurrence rate | Percentage of alarms that repeat on the same asset |
Category: Maintenance
| KPI | Description |
|---|---|
| Maintenance executed | Number of completed interventions |
| Preventive compliance | Percentage of preventive maintenance completed on time |
| Cost per operating hour | Total maintenance cost / operating hours |
| Maintenance backlog | Work orders open for more than 7 days |
Snapshots are generated automatically at the close of each period (daily at midnight, weekly on Mondays, monthly on the 1st). A manual snapshot can also be generated at any time.
Using from the Dashboard
View KPIs for an individual asset
- Open the asset profile in Assets.
- Select the KPIs tab.
- Choose the analysis period:
- Daily: last 24 hours, or a specific date
- Weekly: current week or select a week
- Monthly: current month or a historical month
- The system displays the calculated KPIs for that period with a comparison against the previous period.
Metrics that improved compared to the previous period appear in green; those that worsened appear in red. This lets you identify at a glance whether the equipment is improving or deteriorating.
Previous period comparison
Each KPI shows:
- Current value for the selected period
- Change (absolute and percentage) compared to the previous period
- Trend (up or down arrow with the history from the last 6 snapshots)
Batch calculation
To calculate KPIs for multiple assets at once:
- Go to Assets and select multiple assets using the checkboxes.
- Click Actions > Calculate KPIs.
- Select the period and KPI categories you want to calculate.
- The system processes all selected assets and generates a consolidated report.
The batch report can be exported as CSV or PDF for presentations and audits.
Snapshot history
In the History tab within each asset's KPIs section:
- List of all available snapshots with date and period
- Trend chart for each KPI over time
- Comparison between any two selected periods
- Option to export the complete history
KPIs are calculated based on events recorded in the system. If there are periods without data (disconnected sensor, equipment with no records), the system indicates the coverage percentage for the period and warns if the calculation is partial.
Key benefits
- Industry-standard metrics that speak the same language across the entire organization
- Individual or batch calculation to analyze specific assets or entire fleets
- Snapshot history for long-term trend tracking
- Automatic comparison with the previous period to detect performance changes
- Quantitative basis to justify maintenance investments or equipment replacement
- Export for management reports, audits, and external analysis
Common use cases
Scenario 1: Monthly fleet performance report The maintenance manager needs to present critical equipment performance in the monthly management meeting. They use batch calculation to generate the month's KPIs for all high-criticality and critical assets. The report shows that fleet MTBF increased from 312 hours to 389 hours compared to the previous month — a result of the predictive maintenance program started 60 days ago. The data supports continuing the program.
Scenario 2: Justify equipment replacement Pump B-03 has 8 years of service. The maintenance manager reviews its KPI history over the last 2 years and sees that MTBF dropped from 1,200 hours to 340 hours, cost per operating hour doubled, and preventive compliance fell to 60% due to corrective frequency. With this documented evolution, they present the case to management: the cost of continuing to maintain the pump exceeds the cost of replacing it.
Scenario 3: Detect early deterioration Motor M-11 has an AHI of 78 (grade B) — apparently fine. But the monthly KPI analysis shows that its availability dropped from 97.2% to 94.8% over the last 3 months and its alarm recurrence rate rose from 12% to 31%. Without reaching a critical alarm, the equipment is showing signs of progressive deterioration. The coordinator schedules a detailed inspection before the AHI drops to grade C.