How do you calculate palletizer capacity?

Multiply cases handled per cycle by the available cycles, then multiply by uptime and first-pass yield. With 12 cases/cycle x 3,600 cycles x 93% uptime x 99% yield you get 39,774 accepted cases against a gross of 43,200.

What is the difference between gross and accepted palletizer capacity?

Gross capacity (43,200 cases here) is the theoretical count if the palletizer never stopped and never mis-stacked. Accepted capacity (39,774 cases) is what survives downtime and rejected builds, and it's the number you should plan shipments around.

What is a good palletizer uptime percentage?

Well-run end-of-line palletizers typically run 92-96% uptime; the 93% used here is realistic. Below ~88% you usually have chronic infeed jams, robot fault recoveries, or stretch-wrapper interlocks worth investigating.

Why does first-pass yield matter on a palletizer?

Crushed cases, leaning stacks, and pattern faults force a re-stack or scrap. At 99% yield the calculator shows 402 cases of quality loss per shift, so even a 1% slip removes hundreds of shippable cases.

How do I find the palletizer's bottleneck contribution?

Compare accepted palletizer capacity to your filler's good-case output. If the palletizer's 39,774 cases sits below filler output, the palletizer is your constraint and downtime or yield gains there flow straight to shipped volume.

Does this account for stretch wrapper or labeler downtime?

Only if those stoppages show up in the palletizer's uptime figure. If the wrapper is a separate metered station, model it as its own capacity step rather than folding it into this calculation.

Bottling, Canning & Filling Lines calculator

Palletizer Capacity Calculator

Palletizer capacity tells you how many good, shippable cases your end-of-line palletizer can actually build once you subtract downtime and rejected pallet builds. Packaging engineers and line managers on high-speed bottling and canning lines use it to confirm the palletizer won't starve the trucks behind a filler running at 1,000+ containers a minute. It matters because the palletizer is the last gate before the warehouse: if it caps out below filler throughput, you accumulate cases on the conveyor, trip line stoppages, and miss dock cutoffs. This calculator separates gross theoretical capacity from the accepted capacity you can promise.

What this calculator does

Estimate accepted case capacity through a palletizer, robot cell, stretch wrapper, or finished-goods palletizing area.
finished cases need to be checked against palletizer, wrapper, or robot-cell capacity before the run backs up
It computes accepted (good) palletizer capacity in cases by multiplying output per cycle by available cycles, then derating for uptime and first-pass pallet yield.

Formula used

Gross accepted palletizer capacity = cases handled per palletizer cycle × available palletizer cycles
Accepted palletizer capacity = gross capacity × uptime × first-pass yield

Inputs explained

Cases handled per palletizer cycle:
Available palletizer cycles per shift:
Palletizer uptime:
First-pass pallet build yield:

How to use the result

Use it during line balancing, capacity sign-off for a new SKU mix, or when a downstream shipping shortfall suggests the palletizer is the constraint.
It assumes a steady case mix and constant cycle output; mixed-SKU pallets, slip-sheet changes, or layer-pattern switches change cases-per-cycle and aren't captured by a single average.

Common questions

How do you calculate palletizer capacity? Multiply cases handled per cycle by the available cycles, then multiply by uptime and first-pass yield. With 12 cases/cycle x 3,600 cycles x 93% uptime x 99% yield you get 39,774 accepted cases against a gross of 43,200.
What is the difference between gross and accepted palletizer capacity? Gross capacity (43,200 cases here) is the theoretical count if the palletizer never stopped and never mis-stacked. Accepted capacity (39,774 cases) is what survives downtime and rejected builds, and it's the number you should plan shipments around.
What is a good palletizer uptime percentage? Well-run end-of-line palletizers typically run 92-96% uptime; the 93% used here is realistic. Below ~88% you usually have chronic infeed jams, robot fault recoveries, or stretch-wrapper interlocks worth investigating.
Why does first-pass yield matter on a palletizer? Crushed cases, leaning stacks, and pattern faults force a re-stack or scrap. At 99% yield the calculator shows 402 cases of quality loss per shift, so even a 1% slip removes hundreds of shippable cases.
How do I find the palletizer's bottleneck contribution? Compare accepted palletizer capacity to your filler's good-case output. If the palletizer's 39,774 cases sits below filler output, the palletizer is your constraint and downtime or yield gains there flow straight to shipped volume.

Last reviewed 2026-05-12.