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Glossary ยท metric

Overall Equipment Effectiveness (OEE)

A composite effectiveness metric summarising a piece of equipment in a single number โ€” the product of Availability, Performance, and Quality โ€” benchmarked against world-class manufacturing.

OEEEquipment Effectiveness IndexTotal Equipment EffectivenessPlant Effectiveness Index
Overall Equipment Effectiveness (OEE) is a composite KPI that summarises the productivity of a production asset as the product of three components: OEE = Availability ร— Performance ร— Quality. The concept was developed by Seiichi Nakajima within the Total Productive Maintenance (TPM) framework and formalised in 'Introduction to TPM' (1988); the ISO 22400-2 standard adopts OEE as an official performance indicator. The three components capture: (1) Availability = (planned run time โˆ’ downtime) / planned run time โ€” measuring losses from failures, setups, and shift changes; (2) Performance = (actual units ร— ideal cycle time) / actual run time โ€” measuring speed loss, minor stoppages, and slow running; (3) Quality = good parts / total parts โ€” penalising defective and reworked parts. The trio mathematically mirrors Nakajima's 'Six Big Losses' taxonomy. OEE benchmarks: 85% is considered world-class (Nakajima, JIPM), 60% is typical manufacturing, 40% is poor. The multiplicative structure is critical: individual components at 90% still yield OEE = 0.9ยณ = 72.9; low OEE often hides one dominant component. SMB application: at least one month of measurement via paper log or MES data, then focus on the bottleneck machine. Preventive maintenance, job-shop scheduling, assembly line balancing, and quality-control problems all map directly to OEE components. References: Nakajima 'Introduction to TPM' (1988); Nakajima 'TPM Development Program' (1989); ISO 22400-2:2014.
ร–rnek

An SMB running a CNC machine for an automotive supplier in Ankara measures over 1 month: planned time 8,640 min, downtime 1,296 min โ†’ Availability 85%. In the run time it produced 4,823 parts with an ideal cycle time of 1.4 min; 4,823 ร— 1.4 / 7,344 = Performance 92%. Of the 4,823 parts, 4,678 passed quality โ†’ Quality 97%. OEE = 0.85 ร— 0.92 ร— 0.97 โ‰ˆ 76%. With a world-class target of 85% there is a 9-point improvement gap; the priority is Availability (85% โ†’ 92% via more-frequent preventive maintenance), which alone lifts OEE to about 82%.

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