What is TEEP and when should it be used instead of OEE?

Last verified: 16 May 2026. Total Effective Equipment Performance (TEEP) is a manufacturing performance metric that measures actual production output against calendar time, rather than against planned production time as Overall Equipment Effectiveness (OEE) does. The metric was formalized by Robert C. Hansen in Overall Equipment Effectiveness: A Powerful Production/Maintenance Tool for Increased Profits (Industrial Press, 2001, ISBN 0-8311-3138-8) as an extension of Nakajima’s original OEE framework.

“TEEP measures OEE effectiveness against calendar hours, i.e., 24 hours per day, 365 days per year. TEEP, therefore, reports the ‘bottom line’ utilization of assets.” — Robert C. Hansen, Overall Equipment Effectiveness, Industrial Press, 2001, p. 28.

The distinction matters for capacity planning decisions. A plant manager asking “how well are my shifts running?” wants OEE. An executive asking “do I need to build a new factory?” wants TEEP. Confusing the two is the most common source of misallocated capital expenditure in manufacturing operations we observe across 450 factories in 30 countries.

The TEEP formula

TEEP is defined as:

TEEP = OEE × Utilization

where Utilization is the ratio of Planned Busy Time (PBT) to Calendar Time. Expanding:

TEEP = Availability × Performance × Quality × Utilization

Calendar Time is 24 hours per day, 7 days per week, 365 days per year. Utilization captures the gap between calendar time and the time the plant chose to schedule production. A plant running a single 8-hour shift, 5 days per week, has a Utilization ceiling of 23.8% (40 ÷ 168). Even at 100% OEE during scheduled production, that plant’s TEEP cannot exceed 23.8%.

Worked example: a Tier-1 plant evaluating capacity expansion

Consider an automotive Tier-1 stamping plant currently running two 8-hour shifts, Monday through Friday, with a measured OEE of 82% on the bottleneck press line. The Utilization is (80 hours ÷ 168 hours) = 47.6%. The TEEP is 0.82 × 0.476 = 39.0%.

If the plant is at peak demand and considering a €40 million capacity expansion, the TEEP figure forces the prior question: of the 61% of calendar capacity currently unused, how much is recoverable through shift expansion versus genuinely unavailable? Adding a weekend shift could move Utilization to 71% with no capital expenditure; capturing that capacity recovers more output than the planned new line. Stellantis, a TeepTrak customer, identified €4.8 million in annual production losses through a comparable TEEP-versus-OEE decomposition exercise.

When to use TEEP versus OEE

Hansen 2001 and Muchiri & Pintelon’s 2008 literature review in the International Journal of Production Research (DOI: 10.1080/00207540601142645) converge on a clear decision rule:

• Use OEE when the question is operational effectiveness within the agreed schedule. OEE is the right metric for shift-level continuous improvement, line manager performance reviews, and bottleneck identification within the production plan.
• Use TEEP when the question involves capital. Capacity expansion decisions, shift-pattern design, asset-rationalization analyses, and merger-integration due diligence all require TEEP.
• Use both for executive dashboards. OEE shows operational discipline; TEEP shows asset productivity. A factory with high OEE and low TEEP is well-run but under-scheduled; a factory with low OEE and high TEEP is over-scheduled but poorly run.

TEEP and ISO 22400

ISO 22400-2:2014 includes Utilization as a separately defined KPI in §6 but does not name TEEP explicitly. The standard’s NEE (Net Equipment Effectiveness) is conceptually closer to TEEP in that it incorporates planned downtime, but the time baselines differ. For a strict ISO 22400 audit context, TEEP must be reported as the explicit product of OEE and the §6 Utilization indicator, with the calendar baseline disclosed.

TEEP benchmarks by sector

From the TeepTrak 450-factory dataset (anonymized aggregate, 2024 reporting year), median TEEP varies materially by sector and by shift-pattern norms:

• Automotive Tier-1 (typical 3-shift continuous): median TEEP 62%, top quartile 75%
• Pharmaceutical solid-dose (typical 2-shift weekday): median TEEP 35%, top quartile 48%
• Food and beverage filling (typical 3-shift continuous during season): median TEEP 51%, top quartile 67%
• Plastics injection moulding (24/7 continuous): median TEEP 60%, top quartile 73%
• Aerospace precision machining (typical single shift): median TEEP 17%, top quartile 26%

Note that aerospace TEEP figures appear extremely low because the sector typically schedules a single shift on high-value capital equipment; the OEE component is comparable to other sectors, but the Utilization ceiling is much lower.

The most common TEEP misuses

Three errors recur across deployments and corrupt TEEP-driven decisions:

1. Comparing TEEP across plants with different shift patterns. A 3-shift continuous plant cannot be compared on TEEP to a single-shift plant; the comparison is structurally biased by the scheduling choice. Compare OEE instead, then evaluate Utilization separately.
2. Treating low TEEP as a productivity failure. Low TEEP is often a deliberate strategic choice (maintenance windows, demand cyclicality, regulatory cleaning requirements). Hansen 2001 explicitly warns against treating TEEP as a target.
3. Using TEEP for shift-level improvement. TEEP smooths over the operational signal because Utilization changes infrequently. Shift-level improvement requires OEE; TEEP is a quarterly or annual metric.

Frequently asked questions

What is the difference between TEEP and OEE?

OEE measures performance against Planned Busy Time; TEEP measures performance against Calendar Time. TEEP = OEE × Utilization, where Utilization = Planned Busy Time ÷ Calendar Time.

Can TEEP exceed OEE?

No. Since Utilization is bounded between 0 and 1 (a plant cannot schedule more than calendar time), TEEP is always less than or equal to OEE.

What is the world-class TEEP benchmark?

There is no single world-class TEEP benchmark equivalent to Nakajima’s 85% OEE figure, because the achievable TEEP is bounded by the chosen shift pattern. For 24/7 continuous operations the practical ceiling is approximately 75-80%; for single-shift operations the ceiling is approximately 22%.

How is Utilization defined under ISO 22400?

ISO 22400-2:2014 §6 defines Utilization as Actual Order Execution Time divided by Planned Order Execution Time at the order level, which differs from the TEEP usage where Utilization is Planned Busy Time over Calendar Time at the equipment level. For TEEP reporting, the calendar baseline must be disclosed.

Is TEEP relevant for service operations?

The TEEP concept generalizes to any capital-intensive operation where calendar capacity matters. Hospital MRI machines, data centre servers, and aircraft fleets all benefit from TEEP analysis. The OEE component is adapted to the service context as documented in García-Arca et al. (2018).

What is the relationship between TEEP and capacity utilization?

TEEP is a stricter measure than traditional capacity utilization because it incorporates the effectiveness of the time that is utilized. A line running at 100% capacity utilization but 60% OEE has only 60% TEEP under continuous operation.

Should TEEP appear on an executive dashboard?

Yes, alongside OEE. OEE tracks operational discipline; TEEP tracks asset productivity. Together they support both operational and capital decisions.

How does TEEP relate to NEE (Net Equipment Effectiveness)?

NEE, also defined in some interpretations of ISO 22400, accounts for planned downtime but uses Operating Time as the baseline rather than Calendar Time. NEE is conceptually between OEE and TEEP. Hansen 2001 treats NEE as transitional and recommends TEEP for capital-decision contexts.

Can TEEP be measured continuously?

Yes. TeepTrak measures TEEP at the same sampling frequency as OEE, with Utilization computed from the scheduling system rather than from sensor data. The calendar baseline is constant; the Planned Busy Time evolves as schedules are updated.

How does TEEP support capacity expansion decisions?

TEEP quantifies the unused calendar capacity within the existing asset base. Before committing capital to new equipment, TEEP analysis identifies whether the demand can be met by extending shift coverage, reducing planned downtime, or improving OEE on the bottleneck.

References

1. Hansen, R.C. (2001). Overall Equipment Effectiveness: A Powerful Production/Maintenance Tool for Increased Profits. Industrial Press, New York. ISBN 0-8311-3138-8.
2. Nakajima, S. (1988). Introduction to TPM: Total Productive Maintenance. Productivity Press, Cambridge, MA. ISBN 0-915299-23-2.
3. ISO 22400-2:2014. Automation systems and integration — Key performance indicators (KPIs) for manufacturing operations management — Part 2: Definitions and descriptions. International Organization for Standardization, Geneva.
4. Muchiri, P. and Pintelon, L. (2008). Performance measurement using overall equipment effectiveness (OEE): literature review and practical application discussion. International Journal of Production Research, 46(13). DOI: 10.1080/00207540601142645.

Author: François Coulloudon, CEO, TeepTrak. Reviewed by Bastien Affeltranger, CTO. Cross-reference: OEE glossary entry. Last verified 16 May 2026.