OEE vs TEEP: What They Measure and Which One to Track

OEE and TEEP both measure equipment effectiveness, but against different clocks. OEE measures your planned production time. TEEP (Total Effective Equipment Performance) measures all calendar time, including hours you chose not to run. The link between them is simple: TEEP = OEE × Utilization. OEE tells you how well you run when you are running. TEEP tells you how much total capacity you actually use.

The core difference

The whole difference comes down to the denominator, the block of time you measure against.

OEE measures Planned Production Time, the time you scheduled to run after planned stops. It answers a focused question: when we intended to produce, how much good output did we get?

TEEP measures all calendar time, every hour of every day. It answers a bigger question: of all the hours this asset could theoretically run, how many turned into good product? Because TEEP counts the nights, weekends, and idle shifts you never scheduled, it exposes capacity that OEE hides.

If you want to improve how a line runs, look at OEE. If you want to know whether you even need another line, look at TEEP. For the mechanics of the first one, see how to calculate OEE.

OEE vs TEEP at a glance

	OEE	TEEP
Full name	Overall Equipment Effectiveness	Total Effective Equipment Performance
Time basis (denominator)	Planned Production Time	All calendar time
Question it answers	How well do we run when we run?	How much of our total capacity do we use?
Factors	Availability × Performance × Quality	OEE × Utilization
Best for	Day-to-day production improvement	Capacity and investment decisions
Who acts on it	Shift and line teams	Operations and finance leadership

The TEEP formula

TEEP adds a fourth factor, Utilization, on top of the three OEE factors.

Utilization (Loading) = Planned Production Time ÷ All Time. This is the share of total calendar time you actually scheduled for production.

TEEP = Availability × Performance × Quality × Utilization, which is the same as TEEP = OEE × Utilization.

A worked example

Continue the OEE example: a line at 75.6 percent OEE on a single 8-hour shift, with Planned Production Time of 450 minutes against 1,440 minutes of calendar time in a day.

Metric	Formula	Calculation	Result
Utilization	Planned time ÷ all time	450 ÷ 1,440	31.25%
TEEP	OEE × Utilization	75.6% × 31.25%	23.6%

The story jumps out immediately. The line runs at a respectable 75.6 percent OEE, but its TEEP is only 23.6 percent, because it sits idle for two-thirds of the calendar. If demand grew, you would not need new equipment. You would need more shifts. OEE alone would never have told you that.

Calculate TEEP

Enter your OEE and the time basis to get utilization and TEEP. The defaults reproduce the worked example above.

OEE, OOE, and TEEP

There is a third metric in the family, and the three differ only by the time basis they use.

• OEE uses Planned Production Time. Best for day-to-day production improvement.
• OOE (Overall Operations Effectiveness) uses all the time the plant is open and staffed. It sits between OEE and TEEP.
• TEEP uses all calendar time. Best for capacity and investment questions.

You do not need all three. Most teams track OEE for operations and glance at TEEP when capacity decisions come up.

Which one should you track?

Track OEE if your question is operational: where are we losing time on the lines we run, and how do we get more good output from scheduled production. It is the metric your shift teams can move week to week.

Track TEEP if your question is strategic: do we have hidden capacity, should we add or drop a shift, and do we actually need that capital request for new equipment. TEEP reframes a capacity problem as a scheduling problem, which is usually far cheaper to solve.

A practical pattern: report OEE continuously, and pull TEEP into the conversation whenever someone proposes buying more equipment. More often than not, the capacity is already sitting in the calendar.

Common mistakes

• Using TEEP as a shop-floor KPI. A low TEEP is often a deliberate business choice, not a performance failure. Do not push teams to chase it.
• Comparing OEE and TEEP head to head. They answer different questions. A high OEE and a low TEEP can both be perfectly healthy.
• Forgetting that TEEP is capped by demand. Running more hours only helps if there is product to sell. TEEP shows the ceiling, not the order book.
• Mixing definitions of Planned Production Time. If your OEE and Utilization use different time bases, the math falls apart.

From measuring capacity to acting on it

OEE and TEEP can both flag the difference between how you run and how you could run, but neither tells you what to do with the finding. Is the right move another shift, a changeover blitz on the worst line, or shifting volume between assets? That decision depends on data scattered across your scheduling, production, and maintenance systems.

This is the part SteelTree handles. It connects to those systems, and where the data is scattered or missing, it captures what it needs directly from the work itself. It turns the finding into a recommendation: where the recoverable capacity actually is, what it would take to unlock it, and which action returns the most this quarter, with the reasoning attached. And because it captures the reasoning behind each decision, the system compounds. It gets sharper at your plant the longer you run it.

See how SteelTree can transform your operational processes →