Skip to main content
Calcimator

OEE Calculator

Calculate Overall Equipment Effectiveness from availability, performance, and quality metrics. Identify downtime, speed, and defect losses in manufacturing.

About this calculator

OEE (Overall Equipment Effectiveness) is the standard manufacturing metric for how much of a machine's theoretical capacity actually turns into good product, and it's built from three sub-scores multiplied together: Availability × Performance × Quality. Availability is Actual Run Time ÷ Planned Production Time — the share of scheduled time the equipment was actually running, capturing unplanned stops and changeovers as downtime. Performance is (Ideal Cycle Time × Total Units Produced) ÷ Run Time, capped at 100%, comparing how fast units actually came off the line against the theoretical fastest possible rate — this captures minor stops and reduced speed, not just downtime. Quality is simply Good Units ÷ Total Units Produced, penalizing scrap and rework.

The three multiply rather than average, so a plant running at 95% on each dimension only nets about 86% OEE overall — small losses compound. This calculator classifies the result against widely-cited industry benchmarks: 85%+ is "World Class," 65-84% is typical for discrete manufacturing, 40-64% signals real room for improvement, and below 40% points to significant losses worth investigating. It also reports TEEP (Total Effective Equipment Performance), which multiplies OEE against a full 24/7 calendar (1,440 minutes) rather than just your planned shift — useful for seeing how much capacity is left on the table if you never scheduled the equipment down at all. Watch the units: Ideal Cycle Time is entered in seconds, while Planned and Run Time are in minutes.

Inputs

Results

OEE

68.75%

Classification

Good — typical for discrete manufacturing

Availability87.5%
Performance83.33%
Quality94.29%
Downtime60 min
Defective Units40
Defect Rate5.71%
Actual Cycle Time36 sec
Speed Loss16.67%
TEEP (24/7 basis)22.92%
How to Use This Calculator
  1. Enter Planned Production Time (min), Actual Run Time (min), and Ideal Cycle Time (sec).
  2. Set Total Units Produced and Good Units (First Pass).
  3. Review OEE (%) and Classification.
  4. Use Availability (%) and Performance (%) to inform your decision.
  5. Use the chart to visualize the results and explore different scenarios by adjusting inputs.

How the result changes with Planned Production Time (min)

Planned Production Time (min)OEEClassification
24094.29%World Class
36091.67%World Class
72045.83%Below Average — room for improvement
1,20027.5%Poor — significant losses to address

What each input means

Planned Production Time (min)
Total scheduled production time in minutes (e.g., 480 = 8-hour shift).
Actual Run Time (min)
Actual time the equipment was running. Planned time minus unplanned stops and changeovers.
Ideal Cycle Time (sec)
Theoretical fastest time to produce one unit in seconds.
Total Units Produced
Total number of units produced including both good and defective units.
Good Units (First Pass)
Number of units that passed quality inspection on the first attempt.

How this is calculated

Worked example, using the default values

  1. Identify Input Parameters
    4 parameters
    Planned Production Time (min) = 480, Actual Run Time (min) = 420, Ideal Cycle Time (sec) = 30, Total Units Produced = 700 = 5 input(s) provided
  2. Calculate OEE
    OEE
    68.75 = 68.75
  3. Calculate Classification
    Good — typical for discrete manufacturing = Good — typical for discrete manufacturing
  4. Calculate Availability
    Availability
    87.5 = 87.5
  5. Calculate Performance
    Performance
    83.33 = 83.33

Engine last updated . Checked against 2 independently-derived tests — how we verify calculators. Built by Paul Gunder, a software engineer, not a licensed financial, medical, or legal professional.

Frequently Asked Questions

Why does a plant running at 95% on Availability, Performance, and Quality only get 86% OEE, not 95%?

OEE multiplies the three sub-scores together rather than averaging them, since it's calculating the fraction of theoretical capacity that survives all three loss categories at once. Three 95% factors compound to 0.95 × 0.95 × 0.95 ≈ 0.857, or about 86% — each dimension's loss stacks on the others, which is why small, seemingly-acceptable losses in each category can add up to a much bigger overall gap than any single number suggests.

What's the difference between OEE and the TEEP figure this calculator also reports?

OEE measures effectiveness against your Planned Production Time — the shift or schedule you actually intended to run. TEEP multiplies that same OEE against a full 24/7 calendar (1,440 minutes) instead, so it answers a different question: how much output are you getting relative to running the equipment nonstop, with no scheduled downtime at all. TEEP will always be lower than OEE unless your planned time already covers the full calendar.

Why is Performance capped at 100%, and what does it mean if my run is close to that cap?

Performance compares Ideal Cycle Time × Total Units Produced against Run Time, and this calculator caps the result at 100% because producing units faster than the theoretical ideal rate isn't a real efficiency gain — it usually signals an under-estimated ideal cycle time rather than the line genuinely beating its own physical limit. A Performance score near 100% means the line ran close to its fastest rated speed with minimal minor stops or slowdowns.

I entered Ideal Cycle Time in minutes instead of seconds by mistake — how would that affect the result?

It would badly distort Performance and therefore OEE. The calculator converts your Ideal Cycle Time from seconds to minutes internally before comparing it to Run Time, so entering a minutes value where seconds is expected would make the equipment look 60 times faster than its real ideal rate, likely pushing Performance to the 100% cap and reporting an artificially inflated OEE that doesn't reflect the actual line.

The questions that sit next to this one — chosen by subject, including calculators filed under a different category.

More in Manufacturing, Industrial & Coatings.