Fix it after it breaks. Highest total cost.
Module 04 · Maintenance Management
MAPP VITA — maintain by condition, not by calendar.
MAPP VITA unifies preventive, condition-based and predictive maintenance in one module — so intervention happens when the machine needs it, not when a schedule printed last year says so.
The problem
Calendar maintenance is either too early or too late.
Fixed-interval servicing replaces components that had life left, and misses the ones that degraded faster than average. Both outcomes cost money — one in parts and downtime taken unnecessarily, the other in failures nobody saw coming.
The signals that distinguish the two are usually already available from the drive, the controller or an added sensor.
Reactive
Preventive
Fix it on a schedule. Predictable but wasteful.
Condition-based
Fix it when a measured parameter drifts.
Predictive
Fix it before the trend reaches the limit.
Key capabilities
What MAPP VITA does.
Preventive, breakdown & predictive
All three maintenance strategies managed in a single module with one asset register.
Condition monitoring
Continuous tracking of the parameters that actually indicate degradation on each asset.
Fault & downtime analysis
Failure history analysed by asset, mode and cause rather than logged and forgotten.
Tool & mould tracking
Life counting, change scheduling and location tracking for tooling and moulds.
Spare inventory tracking
Critical spares linked to the assets that consume them, with reorder visibility.
Digital work orders
Raised, assigned, executed and closed digitally with the history attached to the asset.
Utility monitoring
Compressed air, water, power and other utilities monitored for consumption and anomaly.
MTBF & MTTR analytics
Reliability and recovery metrics per asset, trended over time to show whether things are improving.
Benefits
What the maintenance team gains.
- Unplanned downtime reduced by acting on degradation trends early
- Maintenance labour directed to assets that need attention
- Spare parts inventory sized against actual consumption
- Tool changes scheduled against real usage rather than estimates
- Reliability improvement demonstrated with MTBF and MTTR evidence
- Utility anomalies surfaced before they become a cost or compliance issue
Better together: MAPP EYE supplies the machine performance history that makes predictive maintenance genuinely predictive rather than an educated guess.
MTBF
Mean time between failures
MTTR
Mean time to repair
Related modules
Works with
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