The 2026 Manufacturing OEE Benchmark Report: how your lines compare

Most plants run at around 60 percent OEE while believing they run far higher. This benchmark sets out the documented OEE distribution by sector, normalized to ISO 22400-2, and shows exactly how top-quartile plants close the gap to world-class. It covers both US lines reporting to ISO 22400-2 and UK manufacturers framing the same losses against the national productivity gap. Download the full report for the sector tables, the Six Big Losses map and the 60-day pilot plan.

What OEE is, and why it beats throughput alone

Overall Equipment Effectiveness multiplies Availability, Performance and Quality into one figure between zero and one hundred percent. ISO 22400-2 fixes the definitions so a line in Chicago and a line in Birmingham are measured identically. Unlike raw throughput, OEE exposes the losses, micro-stops, speed loss and rework, that never appear on a daily production report.

The OEE distribution: 60, 75, 85

The median plant runs near 60 percent OEE, the top quartile near 75, and world-class near 85, with discrete manufacturing averaging 66 to 67. The gap is not exotic technology; it is the systematic removal of recurring losses.

The uncomfortable part is the measurement gap: plants on manual logs typically overstate real OEE by 8 to 15 points. The space between the median and world-class is the hidden factory, 30 to 45 percent of capacity that already exists and is simply not converted into good output.

• Median plant: about 60 percent OEE
• Top quartile: about 75 percent
• World-class: about 85 percent
• Manual logs overstate true OEE by 8 to 15 points

OEE by sector

Absolute OEE varies by process type, so sector figures are indicative ranges normalized to ISO 22400-2 rather than league positions. Automotive and electronics lines lose most to changeover and micro-stops; aerospace and high-mix work to machine utilization; food, pharma and plastics to sanitation, line clearance and cycle-time loss. In every sector the distance to world-class is dominated by a few repeatable losses.

The Six Big Losses

Every loss maps onto the three OEE rates: breakdowns and changeover hit Availability; minor stops and speed loss hit Performance; startup scrap and process defects hit Quality. Top-quartile plants capture the signal for each one automatically, in real time, instead of reconstructing it at the end of a shift.

What separates top-quartile plants

They measure automatically so the baseline is honest. They attach a reason code to every stop so the Pareto is actionable. They run daily huddles in front of live numbers. And they standardize the OEE definition across every line and site so group reporting compares like with like.

Proof: Hutchinson and Nutriset

These are TeepTrak published references measured to ISO 22400-2. Hutchinson raised OEE from 42 to 75 percent across 40 sites in 12 countries using the TeepTrak Box. Nutriset lifted packaging OEE from 62 to 80 percent in four weeks and cut changeover by 40 percent with SMED using TeepTrak Pulse. Payback on real-time OEE typically lands in the 3 to 12 month range.

From benchmark to action in 60 days

The fastest way to find your own position is to measure one line for 60 days. TeepTrak runs this as a free pilot: connect one line, including legacy assets with no PLC, and let real data replace estimates. First losses are visible within two weeks, a ranked Pareto within a month, and a defensible before-and-after by day 60.

Frequently asked questions

What is a good OEE score?

World-class OEE is around 85 percent, the top quartile of plants reaches about 75 percent, and the median sits near 60 percent. Discrete manufacturing averages 66 to 67 percent. Because manual logs typically overstate OEE by 8 to 15 points, the first priority is an honest, automatically measured baseline.

How is OEE calculated under ISO 22400-2?

OEE is Availability times Performance times Quality. ISO 22400-2 standardizes the definitions of planned time, losses and good count so that results are comparable across lines, sites and countries.

How quickly can OEE improve?

TeepTrak references show fast movement: Nutriset went from 62 to 80 percent in four weeks, and Hutchinson reached 75 percent across 40 sites. Documented payback on real-time OEE is typically 3 to 12 months, and a free 60-day pilot is usually enough to prove a before-and-after on one line.