Availability × Performance × QualityProduction Intelligence · Module
OEE
Measure efficiency with precision. Identify losses instantly — on the same Core as Quality Intelligence, Energy Intelligence, and Operator.
- Continuous OEE across Availability, Performance, and Quality
- Automatic loss categorization with Pareto by shift and line
- Shift timeline and historical trending for data-driven improvement
Illustrative sceneOutcomes
What you'll gain
- Live OEE tracking with trend analysis
- Detailed event timeline for root-cause analysis
- Quality and yield performance metrics
- Exportable reports for management review
Trusted math
Formulas (locked)
Run Time / Planned Production Time(Ideal Cycle Time × Total Count) / Run TimeGood Count / Total CountProduct tour
Inside OEE
A real-time view of Availability, Performance, and Quality with trends, shifts, and totals — your single source of truth for performance.
Illustrative product scenario — not a customer deployment or live plant feed.
Shift timeline
FaultCOPM
OEE ring gauges · Availability × Performance × Quality
Simulated live · not plant feedOEE over time · 30 days
Illustrative daily series
OEE last 30 days
Plant rollup · illustrative
55%OEE
▼ −12%
- 68%Availability▼ −14%
- 82%Performance▼ −5%
- 99%Quality▲ +1%
OEE last 12 months
Plant rollup · illustrative
50%OEE
▼ −16%
- 65%Availability▼ −18%
- 79%Performance▼ −8%
- 99%Quality▲ +1%
Production Intelligence
OEE · by line
OEEAvailabilityPerformanceQualityTechnical availability
| Eq. station | OEE | Availability | Performance | Quality | Tech. avail. |
|---|---|---|---|---|---|
| Line A | 72% | 84% | 91% | 97% | 88% |
| Line B | 62% | 74% | 89% | 96% | 79% |
| Packer 1 | 79% | 90% | 94% | 98% | 92% |
| Packer 2 | 54% | 69% | 86% | 95% | 73% |
| Filler | 68% | 82% | 90% | 97% | 86% |
| Cartoner | 47% | 63% | 82% | 94% | 71% |
Simulated live scenario — production deployments bind this layout to governed Core OEE (A×P×Q).
Color cues highlight what’s healthy and what needs attention. Filter Running / Idle / Downtime. Drill into any machine.
78.4%OEE
86%A
94%P
97%Q
Live status, counters, and loss reasons. Same A×P×Q numbers on Operator tablet and Executive rollup.
78%Packer A
61%Packer B
81%Filler 1
54%Cartoner
Day on the floor
How it changes your day
- Real-time performance replaces end-of-shift guesswork
- Single source of truth for OEE, A, P, and Q
- Bottlenecks and chronic losses surface early via trends and Pareto
- Faster production reviews with the loss evidence already reconciled
- Actionable alerts when KPIs cross thresholds
- Audit-ready history by line, shift, and product
Accuracy
Data accuracy you can trust
Formula locked: OEE = Availability × Performance × Quality. Site policy for planned downtime is documented — never invented for a screenshot.
- Product-aware ideal cycle time
- Shift-aware windows
- Operator events for downtime and speed-loss reasons
- Energy reported beside OEE — never folded into the product
Review your factory improvement case
Bring one production line, its current data sources, and a priority loss. We will map the measurement, workflow, and proof of value.