{"id":91994,"date":"2026-05-02T07:10:43","date_gmt":"2026-05-02T07:10:43","guid":{"rendered":"https:\/\/teeptrak.com\/oee-vs-teep-vs-ooe-decision-framework\/"},"modified":"2026-05-02T07:10:45","modified_gmt":"2026-05-02T07:10:45","slug":"oee-vs-teep-vs-ooe-decision-framework","status":"publish","type":"post","link":"https:\/\/teeptrak.com\/en\/oee-vs-teep-vs-ooe-decision-framework\/","title":{"rendered":"OEE vs TEEP vs OOE \u2014 A Decision Framework for Manufacturers"},"content":{"rendered":"

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OEE vs TEEP vs OOE \u2014 A Decision Framework for Manufacturers<\/h1>\n
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TL;DR<\/strong><\/p>\n

OEE measures performance during scheduled production time. TEEP measures performance against all calendar time (24\/7\/365). OOE measures performance during operating time (staffed time). Use OEE for operational improvement (80% of cases), TEEP for strategic capacity decisions (15%), and OOE for shift-addition evaluation (5%). Picking the wrong metric leads to misleading capacity comparisons and bad investment decisions.<\/p>\n<\/div>\n

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OEE measures scheduled production time only; TEEP measures all calendar time (24\/7\/365); OOE measures operating time including staffed-but-idle periods.<\/strong><\/p>\n<\/div>\n

OEE, TEEP, and OOE are three closely-related manufacturing productivity metrics that measure different time periods.<\/strong><\/p>\n

Choosing the wrong one leads to misleading comparisons (a 30% TEEP plant looks worse than a 60% OEE plant on the same operation) and bad strategic decisions (under-investing in capacity expansion because the OEE looks acceptable).<\/p>\n

This guide provides a 4-scenario decision framework to pick the right metric.<\/p>\n

The 3 metrics in 1 sentence each<\/h2>\n

OEE<\/strong> = scheduled-time productivity (Availability \u00d7 Performance \u00d7 Quality on planned production time).<\/p>\n

TEEP<\/strong> = calendar-time productivity (OEE \u00d7 Utilization, where Utilization = scheduled time \u00f7 8,760 hours\/year).<\/p>\n

OOE<\/strong> = operating-time productivity (similar to OEE but includes staffed-but-idle time in the denominator).<\/p>\n

OEE \u2014 when to use it<\/h2>\n

Use OEE when<\/strong>: improving performance during scheduled production, comparing shifts\/lines, setting operator improvement targets. OEE is the right metric for ~80% of operational improvement work.<\/strong><\/p>\n

Mid-market median OEE: 60%. World-class: 85%. Read the OEE guide<\/a>.<\/p>\n

TEEP \u2014 when to use it<\/h2>\n

Use TEEP when<\/strong>: evaluating capacity expansion (add shifts vs buy new equipment), justifying capital investment, comparing against 24\/7 plants. TEEP is the right metric for strategic capacity decisions.<\/strong><\/p>\n

Mid-market TEEP for 2-shift operations: 30-35%. World-class: 60%+ (requires 24\/7 operation). The gap between OEE and TEEP shows your capacity expansion opportunity without buying new equipment<\/strong>.<\/p>\n

OOE \u2014 when to use it<\/h2>\n

Use OOE when<\/strong>: evaluating shift-addition decisions, comparing plants with different shift schedules. OOE captures unstaffed time as recoverable.<\/p>\n

OOE is rarely used outside this specific scenario \u2014 the difference between OEE and OOE matters only for plants considering adding\/removing shifts.<\/p>\n

4-scenario decision framework<\/h2>\n

Scenario 1 \u2014 Operator improvement target.<\/strong> Use OEE. Operators control what happens during their shift, not whether the plant runs nights\/weekends.<\/p>\n

Scenario 2 \u2014 Shift addition decision.<\/strong> Use TEEP first to evaluate the gap; OOE for detailed shift-by-shift analysis.<\/p>\n

Scenario 3 \u2014 Capital investment justification.<\/strong> Use TEEP. If TEEP is 30% and OEE is 70%, adding shifts is cheaper than buying equipment.<\/p>\n

Scenario 4 \u2014 Cross-plant comparison.<\/strong> Use OEE. TEEP comparisons are misleading if shift schedules differ.<\/p>\n

Real-world example \u2014 5-line packaging plant<\/h2>\n

5-line plant, 2 shifts \u00d7 5 days \u00d7 50 weeks = 4,000 scheduled hours\/year. Calendar time = 8,760 hours.<\/p>\n

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  • Utilization = 4,000 \u00f7 8,760 = 45.7%<\/li>\n
  • OEE = 65% (good for 2-shift operation)<\/li>\n
  • TEEP = 0.65 \u00d7 0.457 = 29.7%<\/strong><\/li>\n<\/ul>\n

    The 35-point gap between OEE (65%) and TEEP (30%) signals enormous unused capacity. Adding a 3rd shift (TEEP up to 45%) is often more cost-effective than buying a 6th line.<\/p>\n

    Watch: How TeepTrak Customers Transform OEE<\/h2>\n