Every unplanned stop tracked,
categorized, and eliminated.
MTTR improves 35%. MTBF extends. Recurring failures disappear. Predictive maintenance prevents breakdowns before they happen.
Downtime Reduction
Via visibility & prevention
Tracked Real-time
Trending & alerts
Maintenance
Before failure occurs
Visibility
Every stop categorized
Downtime is a choice, not destiny.
Most facilities accept downtime as inevitable. It's not. Every unplanned stop is a failure to predict or prevent something visible in the data.
Real-time Breakdown Alerts
Machine stops. Immediately categorized: electrical failure vs mechanical vs procedural. Alert goes to supervisor and maintenance in 10 seconds.
Outcome:
Your supervisors respond in 10 seconds instead of 'whenever someone notices.' First-aid diagnostics happen while the problem is fresh. Recovery time improves 40%.
MTTR Trending
Mean Time To Repair tracked per machine, per type of failure, per maintenance technician. Trends reveal which failures take longest to fix.
Outcome:
Your maintenance teams see pump failures average 90 minutes but should take 40. Root cause: technicians search 20 minutes for spare pump in storage. Standardize placement. MTTR drops to 45 minutes.
MTBF Improvement
Mean Time Between Failures — your equipment reliability baseline. Track it for each asset. When MTBF drops, it signals degradation before catastrophic failure.
Outcome:
Your maintenance teams see motor MTBF dropping from 2,000 hours to 1,600 hours. Bearing wear is detected. They schedule replacement during planned downtime, not emergency breakdown.
Downtime Categorization
Every stop logged: is it unplanned or planned? Equipment failure, operator error, material delay, setup time? Automatic categorization shows where to focus.
Outcome:
Your supervisors see downtime breakdown: 45% equipment, 25% changeovers, 20% material delays, 10% operator errors. They attack equipment reliability first. ROI is 5x higher.
Recurring Failure Detection
Belt slip happens on Tuesday and Friday in Shift B. Pump fails every 1,600 hours. Sensor failure clusters around wet weather. Patterns reveal root causes.
Outcome:
Your teams discover recurring failures cost 10x more than one-off failures. Once a pattern is visible, they address the root cause (quality supplier, maintenance interval, environmental protection).
Predictive Maintenance Triggers
Temperature rising 2% per week. Vibration increasing 5% month-over-month. Cycle time drifting 8%. These signal bearing wear, imbalance, hydraulic degradation.
Outcome:
Your maintenance teams schedule interventions before failure occurs. Equipment replacement happens during planned downtime, not emergency. They prevent cascading failures and secondary damage.
Know where downtime is costing you most.
Equipment Breakdown
45% of total downtime cost
Changeovers
Necessary but optimizable
Material Delays
Supply chain issue
Operator Error
Training opportunity
Pattern recognition reveals hidden costs.
The Pattern
Belt slip failure occurs on Tuesday and Friday in Shift B. First 3 weeks: coincidence. Week 4: definitely a pattern.
The Investigation
- • Same machine? Yes, Belt Conveyor #3
- • Same operator? No, different operators on Shift B
- • Same product? Yes, Product Line X on those days
- • Same environment? Yes, building HVAC off on weekends (cold starts on Monday)
The Root Cause
Cold belt tension specs not being adjusted after weekend shutdown. Belt starts Monday 15% under-tensioned for Product Line X parameters.
The Solution
Add cold-start tension check to Monday morning pre-shift procedure. Belt slip stops completely. Recurring downtime eliminated.
35% downtime reduction. Predictably.
Real-time alerts compress response time
From 'whenever noticed' (often hours) to 10 seconds. Early diagnosis prevents secondary damage.
Predictive maintenance prevents breakdowns
Degradation detected early. Maintenance happens during planned downtime, not emergency stops.
Pattern recognition eliminates recurring failures
Repeat failures cost 10x more than one-off failures. Root causes are data-driven, not guesses.
Predict and prevent equipment failures.
Unplanned downtime drops 35%. MTTR improves. Recurring failures disappear. Maintenance becomes proactive, not reactive.
Enable Downtime Intelligence →