
- TEEP vs OEE: what they are and how they differ
- Visual map: from calendar time to TEEP
- OEE, utilization and TEEP formulas
- Worked example: a line running 2 shifts, 5 days a week
- Which lever pays more: OEE or utilization?
- When to use TEEP and when to use OEE
- Common mistakes and limitations
- Frequently asked questions
TEEP vs OEE: what they are and how they differ
TEEP (Total Effective Equipment Performance) measures how much of all calendar time, 24 hours a day and 7 days a week, an asset spends making good product. OEE measures the same thing, but only within the time production was scheduled. The link is direct: TEEP = OEE × utilization.
OEE answers "how well do we use the time we scheduled?". TEEP answers "how much of the capacity this asset really has are we using?". A machine with 75% OEE that sits idle at night and on weekends has a much lower TEEP, and TEEP is what exposes that hidden room. For the basic OEE calculation, see OEE: how to calculate overall equipment effectiveness.
Visual map: from calendar time to TEEP
The map shows the three layers of time (calendar, scheduled and running) and the numeric example of this article from start to finish.

OEE, utilization and TEEP formulas
OEE = Availability × Performance × Quality
Utilization (loading) = Planned production time ÷ Calendar time
TEEP = OEE × Utilization
- Availability: run time ÷ planned production time. Lost to breakdowns, changeovers and material shortages.
- Performance: actual output ÷ ideal output during run time. Lost to minor stops and reduced speed.
- Quality: good parts ÷ total parts. Lost to scrap and rework.
- Utilization: the share of the calendar in which the plant chose to run. Lost to unstaffed shifts, weekends and holidays.
| Metric | Time base | Question it answers |
|---|---|---|
| OEE | Planned production time | How well do I use the time I scheduled? |
| Utilization | Calendar time | How much of the calendar do I schedule? |
| TEEP | Calendar time (24 h × 7 days) | How much of total capacity becomes good product? |
Worked example: a line running 2 shifts, 5 days a week
Fictional example of a filling line. Weekly calendar time is 168 h × 60 = 10,080 min. The plant schedules 2 shifts of 8 h for 5 days: 80 h = 4,800 min. The ideal cycle time is 0.5 min per part (120 parts/h).
| Step | Calculation | Result |
|---|---|---|
| Run time | 4,800 − 480 (downtime) | 4,320 min |
| Availability | 4,320 ÷ 4,800 | 90.0% |
| Ideal output | 4,320 ÷ 0.5 | 8,640 parts |
| Performance | 7,344 ÷ 8,640 | 85.0% |
| Good parts | 7,344 − 147 (scrap) | 7,197 parts |
| Quality | 7,197 ÷ 7,344 | 98.0% |
| OEE | 0.900 × 0.850 × 0.980 | 75.0% |
| Utilization | 4,800 ÷ 10,080 | 47.6% |
| TEEP | 75.0% × 47.6% | 35.7% |
Shortcut check: 7,197 good parts × 0.5 min = 3,598.5 min of fully productive time. Divided by 4,800 min that gives OEE (75.0%); divided by 10,080 min it gives TEEP (35.7%). The OEE looks healthy, yet the line turns barely more than a third of calendar time into good product.
Which lever pays more: OEE or utilization?
TEEP lets you compare two different decisions on the same yardstick. Using the example line:
| Scenario | OEE | Utilization | TEEP | Good parts/week |
|---|---|---|---|---|
| Baseline (2 shifts, 5 days) | 75.0% | 47.6% | 35.7% | 7,197 |
| A: improvement project lifts OEE to 80% | 80.0% | 47.6% | 38.1% | 7,680 (+483) |
| B: 3rd shift, 5 days, same OEE | 75.0% | 71.4% | 53.5% | about 10,800 (+3,600) |
Five OEE points yield 483 extra parts a week (+6.7%). Adding a third shift yields about 3,600 (+50%), but only pays off if there is demand, staff, maintenance coverage and enough margin to carry the shift cost. Scenario B also assumes OEE holds, which often fails on shifts with less technical support.
The takeaway: before buying another machine, check whether the current one has already exhausted the calendar. To size capacity and utilization, see production capacity: how to calculate utilization and efficiency.
When to use TEEP and when to use OEE
- OEE: daily shop-floor management, shift comparison, loss prioritization and TPM routines.
- TEEP: capacity investment decisions, bottleneck asset analysis, deciding how many shifts to run and negotiating planned downtime.
- Both together: OEE tells you where to improve inside the shift; TEEP tells you whether it is worth opening more production time.
Bottleneck equipment deserves TEEP first, because every lost hour there is a lost hour for the whole plant. See the logic in the theory of constraints. To tie availability losses to maintenance, use MTBF and MTTR.
Common mistakes and limitations
- Mixing time bases: comparing the OEE of a 2-shift plant with the TEEP of a 3-shift one without stating the base.
- Treating 85% as a TEEP target: the 85% benchmark is usually quoted for OEE; the TEEP of an asset that does not run 24 hours a day will never get close, and that is normal.
- Defining "planned" loosely: if stops for lack of orders or material are removed from planned time, OEE improves on paper and the loss disappears from view.
- Using an unrealistic ideal: the ideal cycle time should be the design or best demonstrated rate, not this month's average.
- Optimizing the metric, not the flow: raising TEEP on a non-bottleneck resource only builds inventory. Keep the analysis tied to takt time and demand.
- Ignoring data quality: without reliable stop and scrap records, all three OEE factors are guesses.
Frequently asked questions
What is the difference between TEEP and OEE?
OEE uses planned production time as its base; TEEP uses all calendar time (24 h × 7 days). TEEP = OEE × utilization.
How do you calculate TEEP?
Multiply OEE by utilization. In the example: 75.0% × 47.6% = 35.7%. You can also divide fully productive time (good parts × ideal cycle time) by calendar time.
Can TEEP be higher than OEE?
No. Utilization is at most 100%, so TEEP is equal to or lower than OEE. They match only if the plant schedules 24 hours a day, every day.
What is a good TEEP value?
There is no single benchmark, since it depends on the work calendar and on demand. What matters is tracking the same asset over time and comparing TEEP with OEE.
Does TEEP replace OEE?
No. OEE remains the daily management metric for efficiency; TEEP complements it by showing capacity not yet used.
When does it make sense to add a shift?
When demand is firm, the equipment is a bottleneck, TEEP is low because of calendar (not losses) and the extra shift costs less than the margin it adds.
Sources
- NAKAJIMA, S. Introduction to TPM: Total Productive Maintenance. Cambridge: Productivity Press, 1988.
- HANSEN, R. C. Overall Equipment Effectiveness: A Powerful Production/Maintenance Tool for Increased Profits. New York: Industrial Press, 2001.
- MUCHIRI, P.; PINTELON, L. Performance measurement using overall equipment effectiveness (OEE): literature review and practical application discussion. International Journal of Production Research, 2008.
- ISO 22400-2: Automation systems and integration, Key performance indicators (KPIs) for manufacturing operations management.
Keep studying: trusted sources and links
- ASQ: Quality Resources
- Lean Enterprise Institute: What is Lean?
- Wikipedia: Overall equipment effectiveness
Save this address: Manufatura Enxuta is your school for lean manufacturing. Come back whenever you need to study, with a complete article, a visual map and trusted sources. Follow one of the learning paths or check the A–Z glossary.
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