{"id":95262,"date":"2026-05-21T10:33:09","date_gmt":"2026-05-21T10:33:09","guid":{"rendered":"https:\/\/teeptrak.com\/manufacturing-kpis-beyond-oee-teep-mttr-mtbf-2027\/"},"modified":"2026-05-21T10:33:11","modified_gmt":"2026-05-21T10:33:11","slug":"manufacturing-kpis-beyond-oee-teep-mttr-mtbf-2027","status":"publish","type":"post","link":"https:\/\/teeptrak.com\/en\/manufacturing-kpis-beyond-oee-teep-mttr-mtbf-2027\/","title":{"rendered":"KPIs beyond OEE 2027: TEEP, MTTR, MTBF, OLE, energy per unit \u2014 complete manufacturing metrics guide with TeepTrak benchmarks"},"content":{"rendered":"
\nTL;DR \u2014 KPIs beyond OEE in 60 words<\/strong>
\nKey manufacturing KPIs beyond OEE: TEEP<\/strong> (total calendar utilization), MTTR<\/strong> (repair speed), MTBF<\/strong> (reliability), OLE<\/strong> (labor efficiency), energy per unit<\/strong> (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.\n<\/div>\n

For manufacturing leaders looking beyond OEE in 2027<\/strong>, 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.<\/p>\n

Essential manufacturing KPIs beyond OEE<\/h2>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
KPI<\/th>\nFormula<\/th>\nWhat it reveals<\/th>\nWorld-class target<\/th>\n<\/tr>\n<\/thead>\n
TEEP<\/strong><\/td>\nOEE \u00d7 Utilization (Loading)<\/td>\nTotal capacity utilization against all available time (24\/7\/365)<\/td>\nDepends on strategy (3 shifts = 85%+, 1 shift = 30-40%)<\/td>\n<\/tr>\n
MTTR<\/strong><\/td>\nTotal repair time \/ Number of repairs<\/td>\nHow fast maintenance resolves breakdowns<\/td>\n<30 min for critical equipment<\/td>\n<\/tr>\n
MTBF<\/strong><\/td>\nOperating time \/ Number of failures<\/td>\nEquipment reliability (time between failures)<\/td>\n>200 hours for complex equipment<\/td>\n<\/tr>\n
Changeover time<\/strong><\/td>\nTime from last good part A to first good part B<\/td>\nFlexibility and SMED opportunity<\/td>\n<10 min (single digit minutes = SMED target)<\/td>\n<\/tr>\n
First-pass yield (FPY)<\/strong><\/td>\nGood units first attempt \/ Total units started<\/td>\nQuality without rework<\/td>\n>95% (Six Sigma: 99.99966%)<\/td>\n<\/tr>\n
Scrap rate<\/strong><\/td>\nScrapped units \/ Total produced<\/td>\nMaterial waste and quality loss<\/td>\n<2% for most industries<\/td>\n<\/tr>\n
Energy per unit<\/strong><\/td>\nkWh consumed \/ Good units produced<\/td>\nEnergy efficiency, carbon footprint per unit<\/td>\nImproving quarterly (no absolute target)<\/td>\n<\/tr>\n
OLE (Overall Labor Effectiveness)<\/strong><\/td>\nAvailability \u00d7 Performance \u00d7 Quality (for labor)<\/td>\nLabor productivity parallel to OEE<\/td>\n85%+ (same framework as OEE)<\/td>\n<\/tr>\n
Planned vs unplanned downtime ratio<\/strong><\/td>\nPlanned DT \/ (Planned DT + Unplanned DT)<\/td>\nMaintenance maturity<\/td>\n>80% planned (world-class maintenance)<\/td>\n<\/tr>\n
Schedule adherence<\/strong><\/td>\nActual production \/ Planned production<\/td>\nPlanning accuracy, customer delivery reliability<\/td>\n>95%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

How TeepTrak tracks 15+ KPIs automatically<\/h2>\n

TeepTrak Pulse<\/strong> goes beyond OEE with comprehensive manufacturing KPI tracking:<\/p>\n

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  • OEE (A\u00d7P\u00d7Q)<\/strong>: core metric, ISO 22400-2, real-time from edge sensor<\/li>\n
  • TEEP<\/strong>: OEE \u00d7 utilization \u2014 shows hidden capacity in unscheduled shifts\/weekends<\/li>\n
  • MTTR & MTBF<\/strong>: calculated from stop events \u2014 drives predictive maintenance strategy<\/li>\n
  • Changeover time<\/strong>: measured per product\/recipe \u2014 enables SMED programs with data<\/li>\n
  • Energy per unit<\/strong>: kWh from TeepTrak Box energy sensor \u2014 feeds CSRD\/ISO 50001 reporting<\/li>\n
  • Scrap\/rework rate<\/strong>: from operator quality input \u2014 Quality component of OEE<\/li>\n
  • Shift comparison<\/strong>: OEE per shift, per team, per operator \u2014 identifies training needs<\/li>\n
  • Planned vs unplanned downtime<\/strong>: categorized stop reasons \u2014 maintenance maturity indicator<\/li>\n
  • Line balancing<\/strong>: multi-machine OEE waterfall \u2014 identifies bottleneck machine<\/li>\n
  • Throughput rate<\/strong>: units\/hour trend \u2014 Performance deep-dive<\/li>\n<\/ul>\n

    All KPIs calculated automatically from edge sensor data + operator input. ISO 22400-2 standardized across 450+ factories in 30 countries.<\/p>\n

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