Calculator Library / OEE
Turn time, count, and loss data into a practical OEE view with Availability, Performance, Quality, a Six Big Losses Pareto, projected-gain simulation, and saved-run history.
Analyzer
Core formula: OEE = Availability x Performance x Quality
Use one line per loss category as `Category, value`. The standard Six Big Losses labels work best. Enter minutes for downtime and speed losses. Enter rejected units for the two reject categories; the app converts them to ideal-time minutes for Pareto ranking.
Pareto
| Rank | Loss | Value | Share | Cumulative |
|---|---|---|---|---|
| 1 | Breakdowns | 28 | 28.0% | 28.0% |
Trend
| Saved | OEE | A | P | Q | Top Loss |
|---|---|---|---|---|---|
| No saved runs yet. Click Save Run after analyzing. | |||||
Instructions
The simulator is directional. It assumes the chosen loss reduction converts directly into productive time or recovered quality output without changing the other factors.
If your reduced-speed losses are not tracked in minutes today, estimate them as the gap between ideal output and actual output converted into time at ideal cycle.
OEE brings time loss, speed loss, and quality loss into one practical equipment-performance view. This calculator helps teams move from disconnected downtime notes into Availability, Performance, Quality, total OEE, and a ranked Six Big Losses picture.
That makes it useful for production reviews, TPM activity, shift handoffs, and investment prioritization when leaders need to know which loss category is actually dragging output.
| Metric | Formula | Meaning |
|---|---|---|
| Availability | Run Time / Planned Production Time | How much scheduled time was actually available to run. |
| Performance | (Ideal Cycle Time x Total Count) / Run Time | How close actual speed stayed to ideal speed. |
| Quality | Good Count / Total Count | How much output was saleable the first time. |
| OEE | Availability x Performance x Quality | Combined picture of time, speed, and quality effectiveness. |
Suppose a line has 480 planned minutes, 430 run minutes, an ideal cycle time of 45 seconds, 520 total units, and 502 good units. Availability is 89.58%, Performance is 89.76%, and Quality is 96.54%, which produces an OEE near 78.4%.
That result says the line is not failing in only one dimension. The calculator then helps break the losses into categories so improvement effort targets the biggest drag instead of reacting to whichever problem was most visible on one shift.
The answer depends on process type, automation level, mix, and maturity. The real value is comparison over time and by asset family, not a generic benchmark alone.
Because time, speed, and quality losses can hide each other. A line can run often but slowly, or run fast but generate too much scrap.
They are the common TPM loss categories: breakdowns, setup and adjustments, minor stops, reduced speed, startup rejects, and production rejects.
Usually no for first-pass quality logic. If the part required extra work to become saleable, the process still consumed hidden loss.
Using OEE as a report card without using the loss breakdown to drive action. OEE alone is only a summary number.
Use standard work to hold gains after an OEE improvement effort changes method, timing, or line balance.
Use it when speed pressure is colliding with worker strain, repetition risk, or unstable manual work.