Solution
Downtime Reduction
Capture every downtime event automatically, categorize it with structured reason codes, and analyze frequency and duration patterns across machines, lines, and shifts — turning unplanned stoppages from an invisible cost into a measurable, manageable operational problem.
Business challenge
Downtime is the single largest source of lost production in most factories, yet it is also one of the most poorly understood. Events are recorded manually — if at all — with descriptions that vary by shift, operator, and machine. 'Machine stopped' or 'waiting for material' tells maintenance and operations nothing about the root cause, the pattern, or the frequency. Without a standardized, structured record of every stoppage, it is impossible to distinguish between a one-time incident and a recurring failure mode on a specific asset. Weekly downtime reviews are based on reconstructed events rather than actual data, and improvement programs target the loudest complaints rather than the highest-impact problems. The result is that the same machines stop for the same reasons shift after shift — because the data to identify and break the cycle has never been captured in a form that enables analysis.
Factobrain solution pattern
Factobrain logs each downtime event the moment a machine transitions from RUN or PREPARATION to STOP — recording the start time, the machine state at event onset, and the duration automatically. Operators assign a reason code from a standardized, plant-defined list — distinguishing between planned stops, mechanical failures, material shortages, tooling issues, operator availability, and other categories relevant to your operation. Every event is stored with its full context: which shift, which operator, which job, which batch. Time-based charts display downtime frequency and cumulative duration across machines, lines, and shifts — making it immediately clear which assets stop most often, which reason categories dominate, and which shifts experience more stoppages than others. This data drives structured downtime review meetings grounded in facts, and supports targeted maintenance, tooling, and process improvements that address the actual causes of production loss.
ROI signals to monitor
- Automatic capture of every stoppage event — no manual logging required, no events missed at shift change
- Standardized downtime reason codes across all shifts, enabling meaningful cross-team and cross-line comparison
- Clear identification of the highest-frequency and highest-duration downtime causes per machine and line
- Shift-level downtime trends showing whether specific shifts or operators experience more stoppages than others
- Faster root-cause analysis because every event is recorded with machine state, job, batch, and shift context
- Measurable improvement tracking — downtime frequency and duration trends show whether interventions are working
Move from use case to deployment plan
Book a demo to map this use case to line selection, KPI baselines, and rollout milestones.