Filler and Capper Stops: Cap Feed, Torque Faults and Who Starves Whom

Key takeaways

• With little or no buffer, every capper minute is a bottleneck minute.
• Most capper stops start upstream of the capping head: in the hopper, the sorter or the chute.
• "Caps out" is a material problem; "cap feed jam" is a line problem. Keep them apart.
• Torque faults show up as rejects first and as stops when the reject rule trips.
• Fix the cap supply before you touch the capping heads.

On most bottling lines the capper sits right after the filler with almost no buffer between them, so a capper stop is a filler stop. The usual causes are cap supply (hopper empty, sorter or chute jam), crooked or missing caps, and torque faults. Code them apart, because each one has a different owner.

Fabrico, an OEE and light MES platform, logs each stop from the machine signal and asks the operator to confirm the reason in one tap, so "filler stopped" can become "caps out" or "cap chute jam". This guide walks through the cap supply chain, how to code filler and capper stops, and what one shift looks like once they are split.

Why does a capper stop cost as much as a filler stop?

The filler is the bottleneck on most beverage lines by design. The capper is often built into the same machine (a monoblock) or placed right after it, with room for only a few bottles. Filled, open containers cannot wait long either. So when the capper stops, the filler stops within seconds.

That makes the capper different from the labeller or the case packer, which usually have a few minutes of conveyor between them and the filler. A short stop there can end inside the buffer and cost no output. A short stop at the capper always costs output. Our guide to filler OEE on a bottling line explains why line OEE is read at the filler.

Where does the cap supply chain break?

Caps travel a short chain of their own before they reach a bottle: storage, hopper and elevator, sorter or orienter, chute, then the capping head. Each step has its own stops.

Most of these are short stops: the operator clears the chute or the sorter in under a minute and the line runs again. They rarely reach a paper log, which is why the capper often looks better on paper than it is. Our guide to micro stops explains why they hide.

How should filler and capper stops be coded?

• Caps out: material group. The hopper ran empty or the wrong lot was loaded.
• Cap feed jam: short stop at the sorter or chute.
• Crooked or missing cap: short stop at the capping head.
• Torque fault: breakdown or adjustment, depending on whether it needs a technician.
• Cap inspection reject stop: quality group, with the rejects counted in OEE Quality.
• Filler own faults: bottle jam at the infeed, fill level faults, filling valve faults.
• Starved: no bottles from the blow moulder or depalletiser, charged upstream. See stretch blow moulding OEE for that side.

What do torque faults do to OEE?

A capper applies the cap with a set torque. Too little and the bottle can leak; too much and it is hard to open or the cap is damaged. Most lines check torque or cap position after the capper and reject bottles outside the limits.

• Rejects count against Quality: the bottle was made but is not good.
• Stops happen when the inspection rule trips, for example after several rejects in a row, and count against Availability.
• Slow running happens when the crew lowers speed to keep torque in range, and counts against Performance.

So one torque problem can show up in all three OEE factors. Give it one cause in your codes, so the three effects add up to one priority instead of three small ones.

What does one shift at the filler and capper look like?

Sample line (illustrative numbers, not a customer): a water line with a filler and capper monoblock running 500 bottles a minute, no buffer between them, and a contribution margin of $0.04 a bottle, or €0.04 in a euro plant. One filler minute is worth 500 x $0.04 = $20.

• Every minute here is a bottleneck minute, because nothing sits between the filler and the capper.
• The capper and its cap supply caused 50 of the 62 minutes, about 81%, or $1,000 of the $1,240.
• The single biggest item is not a machine fault at all: two "caps out" stops, 18 minutes, a reorder problem.
• The 26 chute jams are the most frequent stop. At half a minute each they looked like nothing, but together they cost $260 this shift.

Which fixes help first?

• A cap level alarm and a reorder point at the hopper, so caps never run out during a run.
• A cap lot check before each changeover, so the right caps are loaded for the next product.
• Sorter speed matched to the line, so the chute stays full at rated speed.
• Chute and head settings per cap size as centerlines, checked at each changeover.
• A torque check routine at the start of each run and after any capper adjustment.

Where does a camera help at the capper?

The machine signal says the capper stopped, and sometimes gives a fault number. It often does not say whether the cause was a jam in the chute, a crooked cap or a cap the wrong way up.

Where a camera watches the chute or the capping head, the clip of the stop shows what happened, and the operator confirms the reason in one tap. The camera does not decide the cause on its own. See how it works on our computer vision OEE page.

Where Fabrico fits

Fabrico is a computer vision enabled Manufacturing Performance Platform. OEE and light MES come first, with computer vision on stops.

• Automatic downtime logging, including the half minute chute jams.
• The operator confirms the reason in one tap, so caps out and cap feed jam get different codes.
• A camera clip as evidence for a stop, where a camera watches the capper.
• Every loss priced in money and ranked, so the capper's share of filler downtime is visible.
• OEE live by line and shift, and one view across plants.

You start with a pilot on one line, with a baseline and a decision date agreed in advance. There is no free plan and there are no tiers: each plant gets a quote. To see how linked machines limit each other, read our guide to finding the real constraint on linked packaging lines.

Frequently asked questions

Why does the capper stop the filler?

Because on most lines there is little or no buffer between them. Filled open containers cannot wait, so the filler stops as soon as the capper does.

What causes cap feed jams?

Caps the wrong way up, damaged or out of spec caps, a sorter running too slow for the line, and chute settings that do not match the cap size.

Should "caps out" be a capper fault?

No. It is a material supply stop. Code it in the material group so it reaches the people who can set a reorder point.

Do torque rejects count in OEE?

Yes. Rejected bottles count against Quality. If the reject rule stops the line, those minutes count against Availability too.

Is the capper part of the filler's OEE?

On a monoblock it is usually measured as one machine. Even then, code capper stops separately so you know which part of the machine to fix.

See your filler and capper stops in a demo

Bring one bottling line and its current stop log. We will show the capper's share of filler downtime and what it cost.

Request a demo · Contact us