Qail Maintain

Predictive Maintenance for Phinisi and Fast Boat Operations

Move from reactive repair to planned reliability with engine-hour based servicing, failure pattern tracking, and route-aware spare-part coverage.

Status: Production-ready for preventive workflow, reliability KPI close, and engineering review cadence.

Operational scope

Qail Maintain helps fleet teams standardize reliability work across multiple vessels, routes, and engineering shifts.

Preventive work-order cycles

Schedule tasks by engine-hour and calendar; enforce completion evidence before the next dispatch window.

Failure and incident taxonomy

Capture failure mode, subsystem, root cause, and route context so recurring issues are visible at fleet level.

Critical-parts coverage

Set min/max thresholds by vessel class and route risk, then alert before stockouts threaten departures.

Reliability governance

Run weekly engineering close with open backlog, overdue critical tasks, MTBF trend, and readiness for peak periods.

Core KPIs and formulas

KPI Formula Use
Preventive compliance rate Completed preventive tasks / scheduled preventive tasks Detect backlog risk before dispatch impact
MTBF (hours) Operating hours / failure events Reliability trend by vessel and subsystem
MTTR (hours) Total repair duration / repair incidents Repair execution and part availability signal
Dispatch reliability On-time departures / planned departures Commercial service-level metric
Critical stockout rate Critical part stockout events / period Procurement and planning effectiveness

Target profile for mature operations: preventive compliance >= 95% and critical stockout rate = 0 on active routes.

Data contract (minimum fields)

Asset and service registry

  • vessel_id, subsystem, component, serial_no
  • service_interval_hours, service_interval_days
  • criticality_level, route_group

Work order and incident events

  • wo_id, wo_type, opened_at, due_at, closed_at
  • failure_mode, root_cause, downtime_minutes
  • parts_used, labor_hours, verification_status

30-60-90 rollout

0-30 days

Standardize taxonomy, onboard asset registry, and close first preventive cycle for one pilot vessel group.

31-60 days

Turn on MTBF/MTTR dashboard, run weekly reliability review, and enforce critical-part threshold alerts.

61-90 days

Expand to full fleet, measure dispatch reliability uplift, and publish quarterly maintenance ROI report.

Pilot success thresholds

  • Preventive work completion >= 90% in first 8 weeks
  • Overdue critical work orders <= 2% of open backlog
  • Root cause filled on 100% of breakdown incidents
  • Critical route dispatch cancellation from technical issues trending down