Overall Equipment Effectiveness (OEE)
Overall equipment effectiveness (OEE) is a manufacturing metric that measures productive equipment time by multiplying three factors: availability, performance and quality. An OEE of 100 per cent means an asset runs at full speed, with no stops and no defects.
Overall equipment effectiveness (OEE) is a metric that measures how effectively a piece of equipment is used compared with its full potential. It is the product of three factors: availability (the share of scheduled time the asset is actually running), performance (its speed against the ideal rate), and quality (the proportion of good output). The result is a single percentage between 0 and 100.
Why it matters
OEE turns vague impressions of equipment performance into one comparable number, exposing whether losses come from breakdowns, slow running, or defects. A widely cited benchmark for strong manufacturing performance is around 85 per cent, while many operations sit nearer 60 per cent. Breaking OEE into its three factors tells maintenance and production teams exactly where to focus improvement effort rather than guessing.
How MapTrack helps
MapTrack records the runtime, downtime, and failure events that feed the availability factor of OEE, giving teams accurate uptime data per asset instead of relying on manual logs or memory.
Related on MapTrack
Related guides
Automate your maintenance scheduling
Set recurring tasks, track work orders and eliminate missed services with MapTrack.
- No credit card required
- 30 days free trial
- Cancel anytime
Frequently asked questions
How is OEE calculated?
OEE is calculated by multiplying three factors expressed as decimals: availability (actual run time divided by planned production time), performance (actual output divided by the output possible at the ideal rate), and quality (good units divided by total units produced). For example, 90 per cent availability, 95 per cent performance and 99 per cent quality give an OEE of about 85 per cent.
What is a good OEE score?
A frequently cited target for strong manufacturing performance is around 85 per cent for discrete manufacturing, made up of roughly 90 per cent availability, 95 per cent performance and 99 per cent quality. Many operations measure their starting point closer to 60 per cent. The most useful approach is to track your own OEE trend over time rather than chasing a universal number.
What is the difference between OEE and availability?
Availability is only one of the three factors inside OEE. It measures the share of scheduled time an asset is actually running. OEE goes further by also accounting for how fast the asset runs (performance) and how much of its output meets quality standards. A machine can have high availability but low OEE if it runs slowly or produces defects.
Related terms
Asset Availability
Asset availability is the proportion of scheduled time during which an asset is operational and able to perform its intended function. It is commonly expressed as a percentage and calculated as uptime divided by the sum of uptime and downtime over a defined period. Availability is a core reliability measure and one of the three factors in overall equipment effectiveness.
Downtime
Downtime is any period during which an asset is unavailable for its intended function. It can be planned (scheduled maintenance, shutdowns, inspections) or unplanned (breakdowns, failures, waiting for parts). Downtime is typically measured in hours and expressed as a percentage of total available time, providing a key indicator of asset availability.
Equipment Utilisation
Equipment utilisation measures the extent to which available equipment is being productively used, typically expressed as a percentage of available time or capacity. It is calculated by dividing actual usage time (or output) by total available time (or maximum capacity). Utilisation data can come from meter readings, operator logs, GPS tracking, or telematics systems. It is a key operational efficiency metric in asset-intensive industries.
Total Productive Maintenance (TPM)
Total productive maintenance is a holistic maintenance philosophy that aims to maximise Overall Equipment Effectiveness (OEE) by engaging every level of the organisation, from machine operators to senior management, in equipment care. TPM originated in Japanese manufacturing in the 1970s and is built on eight pillars: autonomous maintenance, planned maintenance, quality maintenance, focused improvement, early equipment management, training and education, safety health and environment, and TPM in administration. A core principle is that operators who use the equipment daily are trained and empowered to perform basic cleaning, inspection, and lubrication tasks rather than leaving all maintenance to specialised technicians. This catches early signs of deterioration, frees technicians for complex work, and builds a culture of ownership. Implementation typically begins with a pilot line or asset group to demonstrate results before scaling across the operation, and progress is measured through OEE improvements, reduction in breakdowns, and the maturity of operator-led maintenance routines.
Mean Time Between Failures (MTBF)
Mean Time Between Failures (MTBF) is a reliability metric that measures the average elapsed time between inherent failures of a repairable system during normal operation. It is calculated by dividing the total operational time by the number of failures over a given period. MTBF is typically expressed in hours and is used to compare the reliability of assets, components, or equipment models.
See how MapTrack handles overall equipment effectiveness (oee)
Ready to track every asset?
Join construction, mining and field service teams across Australia.
4.9 on G2 · 4.9 on Capterra
- No credit card required
- 30 days free trial
- Cancel anytime