TEEP and OEE measure the same underlying losses but against different time bases, which is the single most important thing to understand before comparing them. If you're a plant manager or operations leader deciding which metric to prioritize, the short answer is that OEE tells you how well you're running when you are running, and TEEP tells you how much total capacity is sitting on the table across the full calendar. This guide breaks down how each is calculated, what gap between them actually means, and which one should drive your next decision.
OEE (Overall Equipment Effectiveness) measures equipment performance against planned production time, calculated by multiplying availability, performance, and quality.
OEE only evaluates time the plant intended to run. A machine scheduled for one eight-hour shift a day is judged entirely within that shift; the other sixteen hours don't factor into the score at all. This makes OEE a precise measure of how well a shift performs, but it says nothing about whether that one shift is enough.
TEEP (Total Effective Equipment Performance) measures equipment performance against all available calendar time, calculated by multiplying OEE by utilization.
TEEP answers a different question than OEE: not "how well did we run during our scheduled time," but "how much of the equipment's total possible output are we actually capturing." A machine can post a strong 85 percent OEE and still have a TEEP under 30 percent if it only runs one shift out of three possible shifts a day.
The calculation difference comes down to the denominator: OEE divides by planned production time, while TEEP divides by total calendar time.
This is why the same plant can report a 90 percent OEE and a 30 percent TEEP in the same reporting period. Both numbers are correct. They are just answering different questions.
The gap between TEEP and OEE shows how much unused capacity exists outside scheduled production time, which is capacity a plant can access without buying new equipment.
Plants that only track OEE can end up investing in new equipment to solve a capacity problem that unscheduled time was already capable of solving.
Most plants should track OEE first to fix losses within scheduled production, then bring in TEEP when the question shifts from "are we running well" to "do we have enough scheduled capacity."
Real-time monitoring makes both metrics available automatically, calculated directly from machine data rather than manual shift reports, which removes the tradeoff between tracking one or the other.
Yes, TEEP is always equal to or lower than OEE, since TEEP includes utilization as an additional factor and utilization can never exceed 100 percent. A plant running equipment continuously across all calendar time would have TEEP equal to OEE.
There is no universal benchmark for TEEP the way there is for OEE, since TEEP depends heavily on how many shifts a plant intends to run. A single-shift plant will naturally have a lower TEEP than a three-shift plant even with identical OEE, so TEEP is best compared against a plant's own targets rather than industry averages.
No. TEEP and OEE answer different questions and are typically tracked together. OEE isolates performance losses within scheduled time, while TEEP reveals unused capacity outside that schedule.
Utilization is planned production time divided by total calendar time. A plant running one 8-hour shift, five days a week, out of a possible 24/7 calendar has a utilization rate of about 24 percent.
Yes. Monitoring platforms that pull availability, performance, and quality data directly from machines can calculate OEE continuously and derive TEEP from the same data by adding total calendar time as the denominator, with no manual reporting required.
OEE and TEEP measure the same losses against different time bases: OEE tells you how well scheduled production is running, and TEEP tells you how much of your equipment's total possible output you're actually capturing. Track OEE to fix what's happening during your shifts, and bring in TEEP when the question becomes whether you have enough scheduled capacity in the first place. Start a free 60-day pilot on up to 10 machines and see both numbers calculated automatically from your real production data.