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Three respectable 90% terms multiply to 73%. OEE is a product, not an average, and that is the whole point of it.
Overall Equipment Effectiveness
—%
Availability times performance times quality
Loss Breakdown
Availability
—%
Performance
—%
Quality
—%
Availability Loss
—min
Performance Loss
—min
Quality Loss
—min
Everything depends on what counts as planned time and what counts as an ideal rate, and those two definitions are where OEE comparisons between plants usually fall apart — excluding planned maintenance and changeovers from planned time flatters availability, and setting the ideal rate to a conservative practical figure rather than the nameplate flatters performance. Fix both definitions before comparing anything, including against your own past. Expressing each loss back in minutes is the useful part: it puts the three on one scale so the largest is visible, which the percentages alone do not do.
Using this calculator
About the Textile OEE: Availability, Performance & Quality Multiplier
The formula
This is the expression the tool evaluates. Every term is named underneath, with the unit it must be supplied in.
Each input feeds the expression evaluated in the browser; the symbol table below names every term and its unit.
Symbols used above
Symbol
Stands for
Unit
plannedTime
Planned Production Time
min
downtime
Unplanned Downtime
min
idealRate
Ideal Production Rate
units/min
totalOutput
Total Output
units
defectiveOutput
Defective Output
units
oee
Overall Equipment Effectiveness
%
availability
Availability
%
performance
Performance
%
quality
Quality
%
availabilityLoss
Availability Loss
min
performanceLoss
Performance Loss
min
qualityLoss
Quality Loss
min
How the result is derived
Step by step, from the values you type to the figure on screen.
The 5 inputs are read from the form on every keystroke: Planned Production Time, Unplanned Downtime, Ideal Production Rate, Total Output and Defective Output.
Each value is checked against the accepted range in the input table below. A value outside its range stops the calculation rather than producing a misleading figure — the results blank out and a message appears.
The validated values are substituted into the expression above, which resolves Overall Equipment Effectiveness together with every supporting figure in one pass — no value is carried over from a previous entry.
The supporting outputs — Availability, Performance, Quality, Availability Loss, Performance Loss and Quality Loss — come from the same pass, so they always describe the same case as the headline figure.
Results are rounded for display only. The full-precision value is used throughout the chain, so reading a rounded intermediate figure back into the tool by hand can shift the last digit.
What each input means
Where to read each value on the floor, the unit it must be in, and the range the tool accepts.
Input
Unit
Accepted range
Default
What it means
Planned Production Time
min
30 to 10080 min
480
Unplanned Downtime
min
0 to 5000 min
62
Ideal Production Rate
units/min
0.001 to 1000 units/min
0.42
Nameplate rate for the machine and article, in metres, kg or pieces per minute.
Total Output
units
0.1 to 500000 units
158
Defective Output
units
0 to 500000 units
6.5
What the tool returns
The headline figure and every supporting value it is built from.
Output
Unit
What it tells you
Overall Equipment Effectiveness (headline result)
%
Availability times performance times quality
Availability
%
Performance
%
Quality
%
Availability Loss
min
Performance Loss
min
Quality Loss
min
Worked example
Given
Planned Production Time
480 min
Unplanned Downtime
62 min
Ideal Production Rate
0.42 units/min
Total Output
158 units
Defective Output
6.5 units
The tool loads with this case already solved — the Overall Equipment Effectiveness shown above is its answer. Change one value and the difference from this baseline is the sensitivity of the result to that variable.
How to use it
Work through the input groups in order — Time and Output. The defaults are a realistic case, so you can change one value at a time and watch what moves.
There is no calculate button. Every figure recalculates as you type or drag, which is what makes this usable for a what-if sweep rather than a single answer.
Read Overall Equipment Effectiveness in the dark results panel — that is the headline figure, expressed in %.
Check the supporting rows underneath (Availability, Performance, Quality, Availability Loss, Performance Loss and Quality Loss) before acting on the headline — they are where an implausible input usually shows itself first.
Reset to defaults returns every field to the reference case, which is the quickest way to check whether a surprising result came from the tool or from an input you had changed earlier.
Where this is used
Process planning — establishing Overall Equipment Effectiveness before a trial is booked, so machine time and material in Machine Performance & OEE are committed against a calculated figure rather than an estimate.
Costing and quotation — Overall Equipment Effectiveness is an input to the cost sheet, and quoting from a worked number rather than a remembered one is what keeps a margin intact.
Troubleshooting — when the floor result drifts from plan, entering the measured values (starting with Planned Production Time) shows how much of the gap in Overall Equipment Effectiveness each variable explains.
Teaching and study — the accepted ranges bracket normal Machine Performance & OEE practice, so moving one variable at a time shows the shape of the relationship rather than a single answer.
Assumptions and limits
Everything depends on what counts as planned time and what counts as an ideal rate, and those two definitions are where OEE comparisons between plants usually fall apart — excluding planned maintenance and changeovers from planned time flatters availability, and setting the ideal rate to a conservative practical figure rather than the nameplate flatters performance. Fix both definitions before comparing anything, including against your own past. Expressing each loss back in minutes is the useful part: it puts the three on one scale so the largest is visible, which the percentages alone do not do.
Every input is bounded to the range normal practice occupies (Planned Production Time 30 to 10080 min, Unplanned Downtime 0 to 5000 min and Ideal Production Rate 0.001 to 1000 units/min, and so on for the rest). Those bounds are guard rails against typing errors, not a claim that the formula fails one unit outside them.
The calculation is deterministic: the same inputs always give the same result. It carries no allowance for machine condition, operator skill, ambient conditions or lot-to-lot material variation unless an input above explicitly represents one.
Nothing is sent anywhere. The maths runs in your browser, so the numbers you type never leave the page.
Questions people ask
What do I need to know before using the Textile OEE: Availability, Performance & Quality Multiplier?
Have these to hand: Planned Production Time, Unplanned Downtime, Ideal Production Rate, Total Output and Defective Output. With those entered, the tool returns Overall Equipment Effectiveness immediately.
What exactly is Overall Equipment Effectiveness?
Availability times performance times quality. It is reported in %. It is derived from Planned Production Time, Unplanned Downtime, Ideal Production Rate, Total Output and Defective Output, and is the figure the rest of the Machine Performance & OEE calculation is built around.
Which units does this calculator expect?
Enter Planned Production Time in min, Unplanned Downtime in min, Ideal Production Rate in units/min, Total Output in units and Defective Output in units. Mixing unit systems is the most common cause of a result that looks an order of magnitude wrong — convert before typing, not after reading.
What are the other figures under the main result?
They are the intermediate quantities the calculation passes through: Availability, Performance, Quality, Availability Loss, Performance Loss and Quality Loss. They are shown because a headline number nobody can trace is a number nobody trusts — checking them against your own expectation is the fastest way to confirm the inputs were read as you intended.
Can I rely on this for a production decision?
Everything depends on what counts as planned time and what counts as an ideal rate, and those two definitions are where OEE comparisons between plants usually fall apart — excluding planned maintenance and changeovers from planned time flatters availability, and setting the ideal rate to a conservative practical figure rather than the nameplate flatters performance. Fix both definitions before comparing anything, including against your own past. Expressing each loss back in minutes is the useful part: it puts the three on one scale so the largest is visible, which the percentages alone do not do. Treat the output as an engineering estimate that narrows the trial window, not as a substitute for the trial.