How do you calculate robot batch capacity?

Multiply parts per robot cycle by cycles per batch window to get gross capacity, then multiply by uptime and first-pass yield as decimals. With 4 parts/cycle over 600 cycles at 88% uptime and 97% yield, gross is 2,400 and good capacity is 2,048.64 parts.

What is the difference between gross and good batch capacity?

Gross capacity (2,400 in the default case) assumes the cell never stops and never scraps a part. Good capacity (2,048.64) is what you can actually ship after subtracting 288 parts of uptime loss and 63.36 parts of first-pass yield loss.

Why does an 88% uptime cost 288 parts?

Uptime is applied to the full gross figure: 2,400 x (1 - 0.88) = 288 parts never made because the robot was stopped for jams, changeovers or faults during the window.

What is a good first-pass yield for a robotic cell?

Well-tuned assembly and material-handling cells run 98-99.5% first-pass yield; 97% as used here is realistic for a newer or vision-dependent cell. Each yield point lost on a 2,400-part batch costs about 21 good parts.

How do I increase good batch capacity without a faster robot?

Attack uptime and yield rather than cycle speed. Cutting downtime from 12% to 6% on the default cell adds roughly 144 good parts, and every yield point recovered adds about 21 more — often cheaper than a faster gripper or end effector.

Should I plan production to gross or good capacity?

Always plan to good capacity. Committing customers or downstream stations to gross (2,400) ignores the 351 parts of combined loss and sets you up to miss the batch.

Robotics & Automation calculator

Robot Batch Capacity Calculator

Robot Batch Capacity tells you how many good parts a robotic workcell will actually deliver over a defined batch window once you account for downtime and first-pass yield. Automation engineers, cell integrators and production planners use it to size batches, quote lead times and reality-check the marketing throughput number on a robot datasheet. The gap between gross and good capacity is where most schedule slippage lives — a cell that theoretically makes 2,400 parts but reliably ships far fewer will blow a promise date. Running this number before committing to a delivery keeps your batch plan honest.

What this calculator does

Estimate good parts per batch run on a robotic cell from parts per cycle, cycles per batch window, cell uptime, and first-pass yield.
Use it when committing to a batch size on a robot cell so the good parts the batch will actually produce is on one page, not the brochure number.
It computes good parts delivered per batch by multiplying parts-per-cycle and available cycles, then derating for cell uptime and first-pass yield.

Formula used

Gross batch capacity = parts per robot cycle x cycles per batch window
Good batch capacity = gross batch capacity x expected cell uptime x expected first-pass yield

Inputs explained

Parts per robot cycle:
Cycles per batch window:
Expected cell uptime:
Expected first-pass yield:

How to use the result

Use it when planning a robotic batch run, sizing a delivery window, or comparing a proposed cell's realistic output against its nameplate rate.
Uptime and yield are single average figures — if downtime clusters (a fixture jam mid-batch) or yield drifts with tool wear, actual good count can miss this estimate.

Current U.S. benchmarks

Global copper trades at $13,484 per tonne (IMF via FRED, May 2026), up 41.5% in a year, and U.S. industrial electricity averages 8.66 cents per kWh. Both feed electrified-hardware unit economics.

Common questions

How do you calculate robot batch capacity? Multiply parts per robot cycle by cycles per batch window to get gross capacity, then multiply by uptime and first-pass yield as decimals. With 4 parts/cycle over 600 cycles at 88% uptime and 97% yield, gross is 2,400 and good capacity is 2,048.64 parts.
What is the difference between gross and good batch capacity? Gross capacity (2,400 in the default case) assumes the cell never stops and never scraps a part. Good capacity (2,048.64) is what you can actually ship after subtracting 288 parts of uptime loss and 63.36 parts of first-pass yield loss.
Why does an 88% uptime cost 288 parts? Uptime is applied to the full gross figure: 2,400 x (1 - 0.88) = 288 parts never made because the robot was stopped for jams, changeovers or faults during the window.
What is a good first-pass yield for a robotic cell? Well-tuned assembly and material-handling cells run 98-99.5% first-pass yield; 97% as used here is realistic for a newer or vision-dependent cell. Each yield point lost on a 2,400-part batch costs about 21 good parts.
How do I increase good batch capacity without a faster robot? Attack uptime and yield rather than cycle speed. Cutting downtime from 12% to 6% on the default cell adds roughly 144 good parts, and every yield point recovered adds about 21 more — often cheaper than a faster gripper or end effector.

Last reviewed 2026-05-12.