What do production stops really cost you?

‘How much does a stop cost us?’: a question few can answer

Ask any production manager: how much does a stop on this line really cost? The answer usually boils down to a cautious estimate based on the lost machine time. Yet that answer, however intuitive, almost always underestimates the real cost, sometimes by a considerable margin. The cost of a stop is not limited to the minutes during which the machine is not producing.

The difficulty is not the calculation; it is the measurement. We know how to convert minutes into euros once we know a line’s hourly margin. The problem is that we do not know the true number of lost minutes, because a large part of them is never recorded. The real cost of stops is therefore first a problem of visibility before it is a problem of calculation.

The visible cost: the easy part

The visible cost is that of the long, declared stop. An hour-long breakdown on a line whose hourly margin is known can be quantified immediately. Most plants know how to estimate that cost, because the event is striking, its duration known, and its impact direct. It is the easy part, and it is also the part on which most analyses concentrate.

But stopping at this visible cost is making the same mistake as someone who would judge an iceberg by its tip. The long, declared stop is real, but it represents only a fraction of the time actually lost on a line. The rest hides in a multitude of short events nobody records, and whose total often exceeds the visible cost itself. The part you measure is reassuring precisely because it is the smaller part.

The hidden cost: where the money evaporates

The hidden cost is the unrecorded micro-stops and speed losses that silently add up shift after shift. A fifteen-second micro-stop costs nothing, apparently. Multiplied by forty per shift, by three shifts, by every working day of the year, it represents a capacity loss nobody has ever quantified because nobody has ever measured it.

To this is added the under-pace after each changeover: the machine runs, but below its target speed, without triggering any alarm. These two short losses form the core of the hidden cost. And because they are diffuse and continuous, they erode the margin without ever causing a crisis. That is precisely what makes them so dangerous: you do not fight them, because you do not see them.

Why the hidden cost often exceeds the visible cost

Intuition pushes us to believe the big breakdown costs more than the small stops. That is rarely true over time. A striking two-hour breakdown once a month represents twenty-four hours a year. Forty fifteen-second micro-stops per shift, across three shifts, often represent far more, not counting the associated loss of pace. The accumulation of the discreet outweighs the exceptional.

This reversal is counter-intuitive, and that is why it is so seldom taken into account. Investment decisions and improvement projects concentrate on the visible breakdowns, while the main source of cost keeps flowing, invisible. Reversing this logic requires first making the hidden cost visible and quantifiable, so that the discreet accumulation can be weighed against the spectacular event on equal terms.

Quantifying with real data, not estimates

The only way to know the real cost of stops is to measure every loss to the second. A sensor fitted on the machine records all the stops, long and short, as well as the real pace, and lets you convert the time actually lost into capacity and cost. The calculation stops being an estimate and becomes factual.

This data changes the conversation. Instead of debating hypotheses about what a stop ‘should’ cost, you read the real figure: so many minutes lost, so many parts not produced, so much margin evaporated, by line and by cause. You finally have a solid basis to decide where to act and how much it brings in. The improvement decision becomes a return-on-investment calculation, not a bet.

From measured cost to profitable action

Once the real cost is established, action becomes obvious and prioritised. You identify the causes that weigh the most in cumulated cost, you act on them, and you verify the gain in real time. Since corrective actions on hidden losses generally demand no heavy investment, the return on investment is often immediate: you recover existing capacity without spending capex.

Every OEE point gained translates directly into margin. This is the mechanism verified at Hutchinson: Hutchinson improved its OEE from 42% to 75% with the same headcount and machines, sensor installed in under an hour. The gain did not come from new equipment, but from visibility on losses that were costing without being seen. Reducing the hidden cost means improving profitability with the resources already in place.

Recovered capacity: the other face of cost

Reducing the cost of stops does not only mean spending less: it means producing more with the same resources. Every minute recovered is a minute of capacity made available again. For a plant under capacity pressure, that is often the difference between having to invest in a new line and meeting demand with the existing equipment.

This perspective changes the nature of the stake. The cost of stops is not only a charge to reduce, it is a capacity to free up. And that capacity, unlike an investment, requires neither installation lead time nor spending: it is already there, locked inside the hidden losses, and you only have to make it visible to recover it.

For an industrial management team, this angle has an added virtue: it makes the trade-off crystal clear. Rather than pitting a quantified capacity investment against vague improvement gains, you compare two equally measured capacities, one to buy, the other to recover. In most cases, the hidden capacity is freed faster and for far less than new capacity. You just have to have measured it to be able to put it in the balance.

Putting the measurement in place without a heavy project

All of this assumes a reliable measurement, and that installs with no project. The sensor is fitted in under an hour, with no production stop, on old machines as well as new ones, and the first cost data is usable within 48 hours. You can thus start with a pilot line, quantify the real cost of its stops, and compare that figure to the initial estimate.

The gap is usually spectacular, and on its own it makes the case for the approach. A free 60-day pilot is enough to establish the real cost on one line and to measure how much can be recovered. The decision to deploy is then taken on facts, not on a promise.

Key points to remember

The cost of a stop far exceeds the visible machine time: it includes a hidden cost made of unrecorded micro-stops and under-pace, which often exceeds the cost of breakdowns. You only quantify it well by measuring every loss to the second, which turns the estimate into a factual calculation. Reducing this hidden cost recovers capacity with no capex and improves margin directly. More than 450 plants across 30+ countries already monitor their OEE to the second with TeepTrak.

FAQ

How do you calculate the real cost of a production stop?
By converting the time actually lost (long stops, micro-stops and under-pace) into capacity and cost, from the line’s hourly margin. This requires measurement to the second, because a large part of the lost minutes is never recorded by hand.

Do micro-stops really cost more than breakdowns?
Often, yes. Cumulated across every shift and the whole year, micro-stops and under-pace frequently exceed the cost of visible breakdowns, even though they appear in no report.

Why is the cost of stops underestimated?
Because only the visible part (long declared stops) is quantified, while the hidden cost, diffuse and continuous, is ignored for lack of measurement. The problem is one of visibility before it is one of calculation.

How do you reduce this cost?
By measuring losses in real time, quantifying the dominant causes in cumulated cost, then acting on them. The actions generally demand no capex: you recover existing capacity, and every OEE point gained translates into margin.

How long does it take to know a line’s real cost?
The sensor is fitted in under an hour and the first cost data is usable within 48 hours. A free 60-day pilot is enough to establish the real cost and the recoverable gain.