A production line can run a full eight-hour shift and still lose half its output value without a single breakdown showing up on the log. Two-minute stops nobody records, a changeover that ran long, a batch of parts that missed spec by a hair — none of it looks like a failure until someone adds it up. Overall Equipment Effectiveness is the one number built to catch all three losses at once, multiplying availability, performance, and quality into a single score that tells a facility manager exactly where the shift went. Most plants still calculate it once a month from a spreadsheet, by which point the same losses have already repeated for twenty more shifts. Facilities that turn OEE into a live number instead of a monthly report are the ones closing the gap between 60 percent average performance and the 85 percent mark that strong TPM programmes reach, and that shift starts with OxMaint OEE tracking software.
OEE Tracking · Facility TPM · OxMaint
Availability, performance, and quality captured from every work order, every stoppage, and every part count — rolled into the OEE number your TPM programme is built around, updated by the shift instead of by the month.
85%
OEE score generally recognised as world-class performance under a mature TPM programme
60%
Typical OEE score at an average manufacturing or facility maintenance operation
6
Core losses the OEE formula is built to expose, grouped into three measurable categories
Shift-Level
How often OxMaint recalculates OEE, instead of waiting for a monthly spreadsheet roll-up
OEE is not one measurement — it is three, multiplied together. A weak score in any single category drags the whole number down, which is exactly why facilities need the breakdown, not just the final percentage.
Availability
Measures how much scheduled production time was actually lost to breakdowns, changeovers, and unplanned stops. A machine that should run eight hours but only turns for six is already capped near 75 percent before performance or quality even enter the calculation.
Performance
Measures how close the running equipment gets to its designed cycle time. Minor stops under a few minutes and unrecorded speed reductions are the biggest hidden drag here — they rarely get logged, yet they are usually the largest single loss category on a shop floor.
Quality
Measures the share of output that meets spec on the first pass. Startup rejects after a changeover and in-process defects both count against this number, even when the equipment ran at full speed for the entire shift.
Every OEE gap traces back to one of six losses, sorted under the three components above. Naming the loss is what turns a low OEE score into a specific corrective action instead of a vague complaint about the shift.
01
Availability Loss
Unplanned stops long enough to require a repair work order — the loss every maintenance team already tracks, but rarely ties back to a percentage.
02
Availability Loss
Planned downtime for tooling, product, or format changes that runs longer than the standard, quietly eating into the same planned production window every shift.
03
Performance Loss
Stoppages under five minutes that never generate a work order — jams, misfeeds, sensor faults — yet often add up to the single largest OEE loss on the floor.
04
Performance Loss
Equipment running below its rated cycle time to protect worn tooling or compensate for upstream issues — a loss that shows up in output totals, not in the maintenance log.
05
Quality Loss
Scrap generated while a process stabilises after a changeover or restart, before the line settles back into its normal quality window.
06
Quality Loss
In-process rejects and rework during steady-state running — the loss most likely to be under-reported when quality checks are manual and inconsistent.
OxMaint · Live OEE Tracking
Run time, stoppage reasons, and part counts already pass through every work order your technicians close. OxMaint turns that same data into an OEE score that updates by the shift, not by the quarter.
Tracking Element
Manual Spreadsheet Method
With OxMaint
Run time and stoppage capture
Written on a shift log, entered later if remembered
Logged in real time against the asset and reason code
Minor stop tracking
Rarely captured — folded into unexplained downtime
Timestamped individually and rolled into performance loss
Good versus scrap part counts
Counted at end of shift, often estimated
Logged at work order close, tied to the specific run
Calculation frequency
Weekly or monthly, after data entry catches up
Recalculated automatically every shift
Loss category attribution
One combined downtime number, cause unclear
Sorted into availability, performance, or quality automatically
Trend visibility by asset
Rebuilt manually for every review meeting
Live dashboard, filterable by asset, line, or shift
Step 01
A technician or connected sensor marks the asset as running, stopped, or in changeover, establishing the planned production window for the shift.
Step 02
Breakdowns, changeovers, and minor stops are timestamped and coded as they happen, instead of reconstructed from memory at the end of the shift.
Step 03
Good count and reject count are entered at work order close, tied to the exact run and the exact asset that produced them.
Step 04
OxMaint multiplies the three components the moment the data lands, producing an OEE score without a spreadsheet formula or a manual roll-up.
Step 05
A low score is never left unexplained — the dashboard shows whether the shift lost ground to availability, performance, or quality, by asset and by line.
The OEE-Driven Facility
Under 5 Min
Time to pull the OEE trend for any single asset, shift, or line from the dashboard
3 Categories
Every loss auto-sorted into availability, performance, or quality — never left as one vague downtime figure
Daily
OEE recalculated by the shift instead of rebuilt once a month from a spreadsheet
14 Days
From signup to a live OEE dashboard running against real work order data
Most facilities average close to 60 percent, while world-class TPM programmes operate near 85 percent. The gap between those two numbers is almost always hidden in minor stops and startup rejects rather than major breakdowns. Start a free trial to see where your current score sits.
Uptime only measures availability. OEE multiplies availability by performance and quality, which is why a machine can show 95 percent uptime and still produce a mediocre OEE score once slow cycles and scrap are counted.
Yes. Run state, stoppage reasons, and part counts can be logged manually by technicians at the work order level, which is enough to calculate a full OEE score before any sensor integration is added.
The score updates as soon as run time, stoppage, and part count data are logged, which in practice means a current OEE figure is available shift by shift rather than once a reporting period closes.
No — OEE is the scoreboard TPM is built around, not a substitute for it. The number tells you where losses are happening; the TPM pillars are what fix them. Book a demo to see how the two connect inside OxMaint.
Live In 14 Days · No Spreadsheet Required · OEE From Day One
Availability, performance, and quality calculated automatically · losses sorted by category · dashboards by asset, line, and shift · no monthly roll-up required.






