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JUNE 16, 2026

8 min read

WHAT IS A GOOD OEE, SCRAP RATE, AND FIRST-PASS YIELD? (BENCHMARKS BY PROCESS TYPE)

World-class OEE is anchored at 85 percent as a cross-industry reference, but the right target differs by process type. Here are the benchmark tables for OEE, scrap rate, and first-pass yield across machining, stamping, molding, and assembly, plus why your number is not directly comparable to anyone else's.

Last reviewed: June 16, 2026

World-class OEE is generally anchored at 85 percent as a cross-industry reference point, with meaningful variation by process type. World-class scrap rates run below 1 percent for stamping and below 0.5 percent for precision machining. World-class first-pass yield exceeds 99 percent as a general benchmark; the tables below refine all three by process type and show why no single number applies universally.

The 85 percent world-class OEE figure is a cross-industry anchor, not a universal target. Process type, changeover structure, and data capture method all move the realistic number. OEE.com, a widely cited reference for OEE benchmarks, puts the average for plants with active OEE programs at 60 percent.

An analysis of more than 15,000 connected machines by Symestic found that manually captured OEE runs 8 to 12 percentage points higher than automated capture of the same operation, because operators do not log micro-stops under five minutes.

World-class scrap and first-pass yield targets vary by process type. A 1 percent scrap rate is world-class in stamping and typical in assembly.

Before comparing your number to any benchmark, confirm the measurement method. Planned downtime definitions and ideal cycle time choices move OEE by 10 to 20 points.

WHAT IS A GOOD OEE SCORE IN MANUFACTURING?

The 85 percent figure is the most cited OEE benchmark in manufacturing and also the most misapplied. OEE.com, a widely cited reference for OEE benchmarks, defines 85 percent as world-class and notes that a score of 40 percent is not uncommon in a plant without active OEE management, 60 percent is the average for plants that measure and review OEE, and 85 percent is rare outside high-volume, high-discipline operations.

The 85 percent number is a cross-industry anchor, not a per-process target. The tables in the next section refine it by process type, and the differences matter: assembly lines running short changeovers can reach 88 percent or higher in world-class operations, while machining centers with complex setups and tool wear profiles typically approach 80 percent as their world-class ceiling before automated capture is involved. In a high-mix, low-volume plant running 40 different part numbers per week with frequent changeovers, an OEE of 65 to 70 percent may represent genuinely strong performance.

How a plant classifies changeover time, whether as planned downtime excluded from the denominator or as a stop event counted in Availability, changes the calculated result by 10 to 20 points. The how to calculate OEE walkthrough covers how each definition choice affects the final number.

In plants we have worked with, small and mid-size manufacturers with active OEE programs and manual data capture consistently run 60 to 75 percent on the constraint work center. Getting from 60 to 75 percent is 6 to 12 months of focused work. Getting above 75 percent typically requires automated capture to see the micro-stops that manual logging misses.

OEE, SCRAP RATE, AND FIRST-PASS YIELD BENCHMARKS BY PROCESS TYPE

OEE performance varies by process type because the loss profiles differ. A stamping line running dedicated tooling has a different breakdown pattern than a machining center with complex setups, which differs again from an assembly line with frequent operator-paced variation. The figures below reflect practitioner observation across small and mid-size operations.

PROCESS TYPEWORLD-CLASS OEETYPICAL OEEPROBLEM RANGE
Precision machiningAbove 80%55 to 70%Below 45%
Stamping and formingAbove 85%60 to 75%Below 50%
Injection moldingAbove 80%55 to 70%Below 45%
AssemblyAbove 88%65 to 80%Below 55%

Assembly tends to score higher because changeover time is shorter and unplanned mechanical failure is less frequent than on process equipment. Stamping can reach 85 percent world-class because high-speed presses running dedicated tooling have fewer sources of Availability variation. Machining centers and injection molding have more complex setup and tool wear profiles that make the upper end harder to sustain consistently.

WHAT IS A GOOD SCRAP RATE IN MANUFACTURING?

Across the plants we have run this in, world-class scrap performance is below 1 percent in stamping and below 0.5 percent in precision machining. Plants running 2 to 5 percent are in the typical range for mid-market operations without a structured quality improvement program. Above 8 percent in a mature operation is a signal that active scrap tracking and root cause discipline are absent, not that the process is unusually difficult.

PROCESS TYPEWORLD-CLASS SCRAP RATETYPICALPROBLEM RANGE
Precision machiningBelow 0.5%1 to 3%Above 5%
Stamping and formingBelow 1%2 to 5%Above 8%
Injection moldingBelow 0.5%1 to 4%Above 6%
AssemblyBelow 0.25%0.5 to 2%Above 4%

Assembly has the tightest world-class target because most assembly defects are visual or functional failures preventable with standard work, not equipment-driven variation. Injection molding and precision machining both require sub-0.5 percent world-class targets because part value and setup cost make individual scrap events expensive relative to revenue.

These figures are first-pass scrap only: units destroyed and not shipped. They do not include rework. A plant tracking only scrap rate can show 1 percent scrap while absorbing a 15 percent rework burden that never surfaces in the number.

WHAT IS A GOOD FIRST-PASS YIELD IN MANUFACTURING?

First-pass yield measures the percentage of units that pass all quality checks on the first attempt with no rework. It is a stricter measure than scrap rate because rework counts as a failure even when the part eventually ships. The cross-industry anchor for world-class first-pass yield is above 99 percent, but the right target by process type varies, as the table below shows.

PROCESS TYPEWORLD-CLASS FPYTYPICALPROBLEM RANGE
Precision machiningAbove 99.5%95 to 99%Below 90%
Stamping and formingAbove 99%94 to 98%Below 88%
Injection moldingAbove 99.5%94 to 98%Below 88%
AssemblyAbove 98%92 to 97%Below 85%

Assembly world-class is set at above 98 percent rather than 99 percent because multi-step assembly processes have more sources of first-attempt variation than single-operation stamping or machining. The figures above reflect practitioner observation. Published benchmarks for first-pass yield are less standardized than OEE benchmarks because the definition varies: some operations include in-process inspection failures, others count only end-of-line failures. Before using any external FPY benchmark, confirm whether rework is included in the denominator of the source.

WHY YOUR NUMBER IS NOT DIRECTLY COMPARABLE TO ANYONE ELSE'S

The largest problem with manufacturing benchmarks is measurement method. Two plants can calculate OEE using different definitions and produce numbers that look identical but measure different things.

The most significant distortion is manual versus automated data capture. An analysis of more than 15,000 connected machines by Symestic found that manually captured OEE runs roughly 8 to 12 percentage points higher than automated capture of the same operation. The reason is predictable: operators do not log micro-stops under five minutes, do not record short pauses between parts, and sometimes do not capture stop events that resolved before the supervisor arrived. Automated capture sees everything. Manual capture sees what people choose to write down.

This means a plant running 72 percent OEE on manual logs may be running 60 to 64 percent against an automated baseline. Neither number is wrong as a measure of the data it captures. But comparing one to the other produces conclusions that are off by 8 to 12 points.

Three other sources of incomparability:

Planned downtime definition. Some plants exclude all planned downtime (breaks, scheduled maintenance, changeover) from the OEE denominator, making the score look higher. Others count changeover in stop time, making Availability look lower. There is no universal standard.

Ideal cycle time. Performance is actual output divided by target output at ideal cycle time. A plant using a soft or historical average as the ideal cycle time will consistently show 95 to 100 percent Performance while hiding real speed losses. A plant using true design speed will show a lower Performance number that reflects the actual gap.

High-mix vs high-volume. A plant running one part number for eight hours has a fundamentally different OEE problem than a plant running 12 changeovers per shift. Comparing OEE between these operations without accounting for changeover structure is not meaningful.

The right benchmark is your own trend line, measured the same way every month, moving in the right direction. To see what the gap between current performance and world-class means for EBITDA at your revenue size, the Sharpen ROI calculator runs that estimate in 20 seconds.

FREQUENTLY ASKED QUESTIONS

IS 85 PERCENT OEE REALISTIC FOR A PLANT WITHOUT AUTOMATED CAPTURE?

It is possible but unlikely. According to the Symestic analysis of more than 15,000 connected machines, manually captured OEE runs 8 to 12 points higher than automated capture, so a manually measured 85 percent may reflect actual performance closer to 73 to 77 percent. The 85 percent benchmark was developed in high-volume, near-automated environments.

WHAT SCRAP RATE IS ACCEPTABLE IN PRECISION MACHINING?

World-class precision machining runs below 0.5 percent scrap, based on practitioner observation across small and mid-size operations. A rate of 1 to 3 percent is typical for a mid-market machining operation without a structured root cause program. Above 5 percent signals the absence of active process control and scrap analysis.

HOW IS FIRST-PASS YIELD DIFFERENT FROM SCRAP RATE?

Scrap rate counts only units destroyed and not shipped. First-pass yield counts any unit that did not pass all quality checks on the first attempt, including rework. A plant with 1 percent scrap and 12 percent rework has an 87 percent first-pass yield, and tracking only scrap rate hides the rework burden entirely.

DOES THE OEE BENCHMARK CHANGE FOR HIGH-MIX, LOW-VOLUME SHOPS?

Yes. The 85 percent world-class figure is a cross-industry anchor that applies most cleanly to high-volume, dedicated-tooling operations. A high-mix shop with frequent changeovers will see its OEE reduced by changeover time regardless of how well the line runs between changeovers, making OEE more useful as a trend metric than as an absolute benchmark.

WHAT IS THE MOST COMMON REASON OEE IS LOWER THAN EXPECTED?

Availability losses are the most common driver of low OEE in the plants we have assessed. Unplanned downtime including breakdowns and material shortages accounts for more total lost time than Performance or Quality losses in most mid-market operations, and Availability is the component most distorted by manual capture because stops under five minutes are routinely not logged.

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