Key manufacturing KPIs beyond OEE: TEEP (total calendar utilization), MTTR (repair speed), MTBF (reliability), OLE (labor efficiency), energy per unit (sustainability), scrap/rework rate, changeover time, first-pass yield. TeepTrak Pulse tracks 15+ KPIs automatically from edge sensor data. ISO 22400-2 defines standardized KPI calculations. Broader KPIs = complete picture of manufacturing performance.
For manufacturing leaders looking beyond OEE in 2027, OEE alone doesn’t tell the full story: TEEP reveals hidden capacity in unscheduled time, MTTR/MTBF drive maintenance strategy, energy per unit feeds ESG reporting, and labor efficiency (OLE) closes the loop on total operational performance. This guide covers the 15 essential manufacturing KPIs and how modern platforms track them automatically.
Essential manufacturing KPIs beyond OEE
| KPI | Formula | What it reveals | World-class target |
|---|---|---|---|
| TEEP | OEE × Utilization (Loading) | Total capacity utilization against all available time (24/7/365) | Depends on strategy (3 shifts = 85%+, 1 shift = 30-40%) |
| MTTR | Total repair time / Number of repairs | How fast maintenance resolves breakdowns | <30 min for critical equipment |
| MTBF | Operating time / Number of failures | Equipment reliability (time between failures) | >200 hours for complex equipment |
| Changeover time | Time from last good part A to first good part B | Flexibility and SMED opportunity | <10 min (single digit minutes = SMED target) |
| First-pass yield (FPY) | Good units first attempt / Total units started | Quality without rework | >95% (Six Sigma: 99.99966%) |
| Scrap rate | Scrapped units / Total produced | Material waste and quality loss | <2% for most industries |
| Energy per unit | kWh consumed / Good units produced | Energy efficiency, carbon footprint per unit | Improving quarterly (no absolute target) |
| OLE (Overall Labor Effectiveness) | Availability × Performance × Quality (for labor) | Labor productivity parallel to OEE | 85%+ (same framework as OEE) |
| Planned vs unplanned downtime ratio | Planned DT / (Planned DT + Unplanned DT) | Maintenance maturity | >80% planned (world-class maintenance) |
| Schedule adherence | Actual production / Planned production | Planning accuracy, customer delivery reliability | >95% |
How TeepTrak tracks 15+ KPIs automatically
TeepTrak Pulse goes beyond OEE with comprehensive manufacturing KPI tracking:
- OEE (A×P×Q): core metric, ISO 22400-2, real-time from edge sensor
- TEEP: OEE × utilization — shows hidden capacity in unscheduled shifts/weekends
- MTTR & MTBF: calculated from stop events — drives predictive maintenance strategy
- Changeover time: measured per product/recipe — enables SMED programs with data
- Energy per unit: kWh from TeepTrak Box energy sensor — feeds CSRD/ISO 50001 reporting
- Scrap/rework rate: from operator quality input — Quality component of OEE
- Shift comparison: OEE per shift, per team, per operator — identifies training needs
- Planned vs unplanned downtime: categorized stop reasons — maintenance maturity indicator
- Line balancing: multi-machine OEE waterfall — identifies bottleneck machine
- Throughput rate: units/hour trend — Performance deep-dive
All KPIs calculated automatically from edge sensor data + operator input. ISO 22400-2 standardized across 450+ factories in 30 countries.
Request a demo
TEEP: the KPI that reveals hidden capacity
OEE measures efficiency during planned production time. TEEP (Total Effective Equipment Performance) measures against ALL calendar time (24/7/365). The gap between OEE and TEEP = hidden capacity in unscheduled time.
Example: 85% OEE running 2 shifts (16 hours) = TEEP of 57%. That means 43% of total capacity is unused. This single number tells CFOs whether to buy new equipment or add a shift. TeepTrak calculates both OEE and TEEP automatically.
FAQ: KPIs beyond OEE
What KPIs does OEE software typically track beyond OEE?
Modern platforms like TeepTrak Pulse track: TEEP (total calendar utilization), MTTR/MTBF (maintenance), changeover time (flexibility), energy per unit (sustainability), scrap/FPY (quality), shift comparison, planned vs unplanned downtime, throughput rate, line balancing, schedule adherence. 15+ KPIs from edge sensor data.
Conclusion
OEE is the starting point, not the finish line. TEEP reveals hidden capacity, MTTR/MTBF drive maintenance maturity, energy per unit feeds ESG reporting, OLE closes the labor productivity loop. TeepTrak Pulse tracks 15+ manufacturing KPIs automatically from edge sensor data, ISO 22400-2 standardized, across 450+ factories. The platform that measures more than OEE delivers more than OEE improvement.
0 Comments