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Industry Benchmarks

How Does Your Facility Compare?

OEE benchmarks by machine type based on industry standards. Know your targets before you start measuring.

60%

Average Manufacturer

Most manufacturers operate well below potential

75%

Top Quartile

Where competitive manufacturers aim to be

85%

World-Class OEE

The gold standard for manufacturing excellence

Fleet Benchmark Data

Anonymized OEE statistics from Flowstate-connected factories. Updated in real time as more facilities contribute data.

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What These Numbers Mean

A

Availability

How much of the planned production time is the machine actually running? Accounts for breakdowns, setup time, and changeovers.

= Actual Run Time / Planned Production Time

P

Performance

Is the machine running at full speed? Catches slow cycles, small stops, and reduced speed operation that eat into output.

= (Total Pieces x Ideal Cycle Time) / Run Time

Q

Quality

What percentage of parts produced are good on the first pass? Every scrapped or reworked part is wasted machine time.

= Good Pieces / Total Pieces

OEE = Availability x Performance x Quality

A machine at 90% A x 95% P x 99% Q = 84.6% OEE

OEE Targets by Machine Type

Machine TypeAvailabilityPerformanceQualityOEE Target

CNC Machine

CNC

90%95%99%84.6%

CNC Mill

CNC

90%95%99.5%85.1%

CNC Lathe

CNC

90%95%99%84.6%

Industrial Robot

Robotics

95%98%99.5%92.6%

Collaborative Robot

Robotics

95%98%99.5%92.6%

Motor

Power

95%98%99%92.2%

Pump

Power

95%95%99%89.3%

Conveyor

Material Handling

95%98%99.5%92.6%

Injection Molder

Plastics

88%92%98%79.3%

Press Brake

Fabrication

90%93%99%82.9%

Laser Cutter

Fabrication

92%96%99.5%87.9%

Packaging Line

Packaging

85%90%98%75%

Compressor

Utilities

95%97%99%91.2%

Industry benchmarks based on ISO 22400 (KPIs for manufacturing operations management) and OEE Foundation standards.

About This Data

These benchmarks are sourced from published industry standards (ISO 22400, OEE Foundation, and peer-reviewed manufacturing studies). As Flowstate monitors more facilities, we will replace these with anonymized, real-world fleet statistics — giving you transparent benchmarks backed by actual production data, not just research papers.

API: /api/benchmarks/public — machine-readable, no auth required

What OEE Costs You in Dollars

Every percentage point of OEE gap represents lost production capacity you're already paying for.

$26K - $78K

5-Machine Facility

5% OEE improvement across 5 machines at $50-150/hr loaded rate. That's recovered capacity you're already paying for.

$1,040 - $3,120

Per Machine / Year

Each 1% OEE improvement recovers ~20.8 hours of productive capacity per machine per year (one shift).

30 Days

First Measurable Results

5-10% OEE improvement in the first 90 days from visibility alone. Operators change behavior when they know they're being measured.

Where Manufacturers Lose OEE

The biggest improvement opportunities for most manufacturers, ranked by typical impact.

A

availability Losses

Unplanned breakdowns

Fix: Predictive maintenance with vibration monitoring

5-15%

Setup & changeover

Fix: SMED methodology + standardized tooling

5-20%

Material shortages

Fix: Kanban signals from machine data

2-5%
P

performance Losses

Reduced feed rates

Fix: Tool wear monitoring + automatic feed optimization

3-10%

Minor stops / idling

Fix: Real-time alerts when cycle time exceeds target

2-8%

Operator delay

Fix: Machine status displays + shift handoff reports

1-5%
Q

quality Losses

Scrap / rework

Fix: SPC monitoring on critical dimensions

0.5-3%

Startup rejects

Fix: First article inspection tracking

0.2-1%

Frequently Asked Questions

What is a good OEE for manufacturing equipment?
World-class OEE is 85% or above, regardless of equipment type. Most manufacturers operate at 45-65% OEE without monitoring. The top quartile with active monitoring achieve 75-85%. Even a 5-point OEE improvement on a single machine typically saves $3,000-$5,000 per year in recovered production capacity.
How do I calculate OEE for my facility?
OEE = Availability x Performance x Quality. Availability measures uptime vs planned production time (accounting for breakdowns, setup, changeovers). Performance measures actual speed vs ideal cycle time. Quality measures good parts vs total parts produced. World-class targets are 90% Availability, 95% Performance, and 99% Quality = 84.6% OEE.
What is the biggest OEE loss in manufacturing?
The #1 OEE loss for most manufacturers is unplanned downtime (availability loss), typically accounting for 10-25% of lost production time. The second biggest is setup and changeover time. Together, these availability losses usually represent 60-70% of total OEE gap. This is why real-time machine monitoring with automatic downtime detection has the highest ROI.
How much does 1% OEE improvement save?
For a typical machine running one shift (2,080 hours/year), each 1% OEE improvement recovers about 20.8 hours of productive capacity. At $50-250/hour loaded machine rate, that's $1,040-$5,200 per machine per year. For a 5-machine facility improving OEE by 5 points, that's $26,000-$130,000 in annual recovered capacity.
How long does it take to improve OEE?
Most manufacturers see measurable OEE improvement within 30 days of installing monitoring. The first gains come from visibility: operators change behavior when they know the machine is being measured. Typical trajectory: 5-10% improvement in the first 90 days from awareness alone, then 1-2% per quarter from targeted improvements based on downtime Pareto analysis.

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