Most plants claim 60-70% OEE but cannot show the data. Dovient tracks Availability, Performance, and Quality in real time so you know exactly where production hours are lost and how to recover them.
See It in ActionOEE
Availability
88%
Performance
91%
Quality
90%
A × P × Q = OEE
Every minute of downtime falls into one of these six categories. Identify them. Fix them. Improve OEE.
Equipment
Failure
Breakdowns, mechanical failures
Setup &
Adjustment
Changeover, tooling
Idling &
Minor Stops
Jams, sensor issues
Reduced
Speed
Wear, misalignment
Defects &
Rework
Quality issues
Startup
Losses
First run yield
Total
Loss
Available for improvement
When operators manually log downtime events on a tablet or paper sheet, high-frequency micro-stops go unrecorded. Brief interruptions like small jams, misfeeds, and resets significantly impact productivity but are excluded from most OEE calculations because nobody logs them.
Different shifts use different data collection methods. Definitions of planned production time vary. By the time paper logs are entered into spreadsheets and the formatting is fixed, you are looking at a history lesson, not actionable data. Leadership already suspects the numbers are inaccurate.
Unplanned downtime consumes up to 11% of the revenue of Fortune Global 500 companies, totaling $1.4 trillion per year. Most of that is invisible because the data collection method is broken.
Dovient captures downtime reasons in real time from mobile devices with simple dropdown selection. Every minute is categorized. Micro-stops are tracked. Shift handovers are structured. The numbers finally add up.
See Availability, Performance, and Quality metrics live on the shop floor. Drill down into each component to find where losses occur. No delays, no Excel spreadsheets, no guessing.
Updated every minute. Accessible from desktop, tablet, or shop floor monitor.
Live Dashboard
88%
Availability
91%
Performance
90%
Quality
72.4%
Overall OEE
Downtime Log
Operators select from categorized downtime reasons on their mobile device. Planned vs unplanned, equipment vs process. Every minute is accounted for. Capture root causes, not just duration.
Simple dropdown selection. Takes seconds. No training required.
Structured shift reports capture equipment status, pending issues, safety concerns, and production notes. The incoming shift starts fully informed, not relying on verbal communication.
Critical context never gets lost. Every shift begins with perfect visibility.
Shift B → Shift C
Equipment Status
Line 2 pump running hot, monitor closely
Pending WOs
WO-1247 in progress, WO-1251 waiting parts
Safety Note
Confined space permit active in Zone 4
Top Losses This Week
Visual breakdown of where production time goes using waterfall and Pareto charts. See the Six Big Losses categorized so you can prioritize improvement projects with data, not gut feel.
Identify patterns. Find root causes. Target improvements where they matter most.
| Metric | Shift A | Shift B | Shift C |
|---|---|---|---|
| OEE % | 78% | 72% | 68% |
| Top Downtime | Changeover | Jamming | Breakdown |
| Output Qty | 2,340 units | 2,150 units | 2,090 units |
| Reject Rate | 2.1% | 3.4% | 4.2% |
Shift A is outperforming. Use this data to replicate their practices. Identify training gaps in Shift C. Data-driven improvement, not assumptions.
Plants using Dovient see an average 15-point OEE improvement within 6 months, purely from visibility into losses that were previously invisible.
No capital expenditure. No new equipment. Just data-driven focus on the losses that matter most.
Average OEE Improvement
In first 6 months from visibility alone
Less Reporting Time
Auto-generated reports replace manual work
Downtime Categorized
Every minute coded with root cause
Plant Manager, Automotive Supplier
"Before Dovient, OEE was a number the CFO asked about. Now it's something we actually understand and control. We know which shifts are losing time, why, and what to fix. That changes everything."Schedule a Demo
Get real-time visibility into OEE losses and eliminate the blind spots that cost you millions.