Shopfloor Matters

First pass yield vs rolled throughput yield: which one tells the truth?

First pass yield measures right first time at one step. Rolled throughput yield multiplies every step. How to calculate both, and what final yield hides.

Illustration: FPY vs RTY

"Our yield is 97%." It sounds good. But which yield? The yield you report and the yield the line actually achieves can be very different numbers.

Final yield: what comes out the end

Final yield is simply good units out divided by units started. If you start 1,000 and ship 970, final yield is 97%.

The problem is that it counts reworked units as good. A part that was fixed twice before it passed looks exactly the same as one that was right first time. That hidden rework costs time and capacity.

First pass yield: right first time, at one step

First pass yield (FPY), sometimes called first time yield, is the share of units that pass a step without rework or scrap. Some manufacturers, particularly in automotive, use first time through quality (FTTQ) for a similar measure, often across a whole process and counting any repair or retest as a failure.

FPY = units passing first time ÷ units entering the step

If 1,000 units enter a welding step and 950 pass without rework, FPY for that step is 95%.

FPY shows how well each step really performs. It's often measured for a single step, or for the line as a whole.

Rolled throughput yield: right first time, all the way through

Rolled throughput yield (RTY) is the probability that a unit gets through every step of the process right first time. You multiply the FPY of each step together.

RTY = FPY step 1 × FPY step 2 × FPY step 3 … and so on

Take a line with four steps, each with an FPY of 95%. RTY is 0.95 × 0.95 × 0.95 × 0.95, which is about 81%. So only 81 units in every 100 make it through without being touched again, even though every step looks good on its own and final yield might be 97%.

Side by side

Final yield First pass yield Rolled throughput yield
Measures Good units out of units started Units right first time at a step Units right first time across all steps
Counts rework as good? Yes No No
Scope Whole process One step, or the line Whole process, step by step
Shows hidden rework? No At that step Across the process
Best for Reporting output Finding weak steps Seeing the true cost of quality

Why it matters

RTY is the metric that reveals the "hidden factory": the rework loops and re-inspections that never show up in final yield. It's popular in Six Sigma for exactly that reason.

The weakest steps drag RTY down fastest, so it also tells you where to focus. Improving one poor step from 80% to 95% lifts RTY far more than polishing a step that's already at 99%.

Where the data comes from

To calculate FPY and RTY you need to know, at every step, which units passed first time and which were reworked. On paper, rework is often not recorded at all.

MES/MOM records each pass, fail and rework against the unit or lot and the operation, so FPY and RTY can be calculated automatically, by product and line. More in Manufacturing KPIs beyond OEE.

If you multiplied your step yields together today, how close would the answer be to the yield you report?

Common questions

What is the difference between first pass yield and rolled throughput yield?

First pass yield measures right-first-time performance at one step, or for the line as a whole. Rolled throughput yield multiplies the first pass yield of each step, showing how many units get through every step without being touched again.

How do you calculate rolled throughput yield?

Multiply the first pass yield of each step together. Four steps at 95% each give an RTY of 0.95 × 0.95 × 0.95 × 0.95, which is about 81%.

Why is final yield misleading?

Final yield counts reworked units as good, so a part fixed twice looks the same as one that was right first time. The rework still costs time and capacity. FPY and RTY expose it, which is why they're widely used in Six Sigma.

Written by Matt Barber · Last updated October 2026

Matt Barber
Written by

Matt Barber

VP & General Manager for the shopfloor at Infor. Started as an MES developer, then ran projects, solution design and product. Writes about the smart factory, shopfloor AI and the MES/MOM foundations underneath them.

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