OEE tells you how well equipment ran during the time it was scheduled to run, but it deliberately ignores all the hours it was never scheduled at all. TEEP closes that gap by measuring effectiveness against every hour on the calendar, which turns a hidden question into a visible number: how much of your equipment's theoretical maximum capacity are you actually capturing? This guide defines TEEP as OEE extended by a utilization factor, explains why it surfaces capacity that OEE conceals, and describes when operators should track it.
TEEP (Total Effective Equipment Performance) in one line: TEEP, or Total Effective Equipment Performance, is OEE multiplied by a utilization (or loading) factor that measures scheduled production time against all calendar time. Where OEE asks how well equipment performed during the time it was scheduled to run, TEEP asks how much of the equipment's full theoretical capacity, based on all 8,760 hours in a year, was actually turned into good output. Adding the utilization factor makes TEEP surface hidden capacity, the unused time OEE excludes, so it is the metric for capacity and investment decisions rather than day-to-day operational improvement.
TEEP builds directly on OEE by adding a fourth factor. OEE is availability times performance times quality, all measured within planned production time. TEEP multiplies that OEE by a utilization factor, sometimes called the loading factor, which is planned production time divided by all calendar time. Because the utilization factor is always one or less, TEEP is always equal to or lower than OEE, and the two are equal only in the hypothetical case where equipment is scheduled to run every hour of every day.
The consequence of the extra factor is a completely different denominator. OEE compares good output against what the equipment could have produced in the time it was scheduled, so a plant running one shift a day can score a high OEE while its equipment sits idle two thirds of the time. TEEP compares good output against what the equipment could have produced running flat out around the clock, so that same plant would show a much lower TEEP, because the utilization factor captures the unscheduled sixteen hours a day the equipment was available but not used.
This makes TEEP a measure of realized capacity rather than operational efficiency. A high OEE and a low TEEP together tell a clear story: the equipment runs well when it runs, but a great deal of its capacity goes untapped simply because it is not scheduled. That combination is invisible if you look at OEE alone, which is exactly the blind spot TEEP is designed to remove.
The reason TEEP matters is that OEE's exclusion of unscheduled time is a feature for one purpose and a liability for another. Excluding unscheduled time is right when you want to judge how well an operation ran during its committed hours, because holding equipment accountable for time it was never meant to run would be unfair and unhelpful. But that same exclusion hides an entire category of opportunity: the capacity available simply by scheduling the equipment for more of the calendar.
TEEP makes that opportunity a number. If a line has an OEE of, say, 85 percent but is scheduled for only forty hours of a 168-hour week, its utilization factor is roughly 24 percent and its TEEP is around 20 percent, meaning it is delivering about a fifth of its theoretical maximum output. The gap between the OEE and the TEEP is the hidden capacity, and it frames a strategic question that OEE never poses: is it cheaper to add shifts on existing equipment than to buy more of it?
That framing is why TEEP is a capacity and investment metric rather than a shop-floor improvement metric. Operators facing rising demand can use it to see whether they should chase more output from equipment they already own before purchasing new assets, and to quantify how much latent capacity a facility holds. It answers the make-versus-buy and add-a-shift questions with data, where OEE alone would leave the untapped hours entirely out of view.
TEEP is not the metric to watch every shift; it is the metric to consult when capacity is the question. Because its utilization factor is driven mostly by scheduling decisions rather than by the equipment's moment-to-moment behavior, TEEP moves when you change how much you schedule, not when an operator clears a jam. That makes it well suited to planning and investment reviews and poorly suited to daily operational improvement, where OEE and the Six Big Losses give more actionable signal.
Computing TEEP requires exactly the data OEE already needs plus one more piece: a faithful record of calendar time and scheduled time. OEE supplies availability, performance, and quality from run time, production counts, and reject counts. The utilization factor additionally needs planned production time and total calendar time, so the reliability of TEEP hinges on accurately capturing when equipment was scheduled versus when it simply sat idle, which is often the weakest link because idle unscheduled time is rarely logged with any care.
A cloud SCADA such as Merobix helps close that gap because it historizes equipment state continuously, over Modbus, DNP3, OPC UA, or MQTT, regardless of whether the equipment was scheduled. That continuous record over full calendar time is precisely what the utilization factor needs, since it shows what the equipment actually did during every hour, not only during committed shifts. With state, counts, and reject data all historized against real calendar time, both OEE and its utilization extension into TEEP can be computed from the same underlying data, so an operator can move between the operational view and the capacity view without maintaining separate systems.
OEE measures how well equipment performed during the time it was scheduled to run, using availability, performance, and quality within planned production time. TEEP multiplies OEE by a utilization factor that compares scheduled time against all calendar time, so it measures good output against the equipment's full theoretical capacity around the clock. TEEP is therefore always equal to or lower than OEE and reveals capacity that goes unused simply because equipment is not scheduled, which OEE hides.
TEEP is OEE multiplied by a utilization factor, where the utilization factor is planned production time divided by all calendar time. For example, a line with 85 percent OEE scheduled for only 40 of a 168-hour week has a utilization factor of about 24 percent, giving a TEEP near 20 percent. That result means the line is delivering roughly a fifth of the maximum output it could produce if it ran flat out at that OEE for every hour.
TEEP is most useful for capacity planning and investment decisions, because it shows how much latent capacity sits unused in equipment that is not fully scheduled. It helps answer whether to add shifts on existing equipment before buying new assets. For day-to-day operational improvement, OEE and the Six Big Losses are more actionable, since they focus on how well the equipment runs during its scheduled time rather than on how much of the calendar it is scheduled for.
This page references the protocol specifications published by the organizations below. Editions, product capabilities, and documentation change over time - confirm current requirements and specifications directly with the source.
Last reviewed: July 27, 2026. Merobix is not affiliated with, endorsed by, or sponsored by these organizations; their names are used only to identify the standards and products discussed.
Merobix reads your field devices into a cloud SCADA - the real thing behind these terms, live in days from any browser.