Micro-stops: the invisible killer of your OEE

The micro-stop: the loss nobody sees go by

In any workshop, some losses make noise. The breakdown that pins a line down for an hour, the quality defect that triggers a sort, the changeover that drags on. Everyone sees them, everyone talks about them, and they all end up in a report. The micro-stop, by contrast, makes no noise at all. It lasts a few seconds, the machine starts again, the operator has barely had time to look up, and the incident is already forgotten. It is precisely this discretion that makes it the invisible killer of OEE.

Taken in isolation, a single micro-stop does not deserve a second thought: ten seconds of jamming, a hesitant sensor, a manual reset, and production carries on. But those ten seconds are never isolated. They repeat dozens, sometimes hundreds of times per shift, on every machine, every day. And when you add up all those lost moments across a week, you often discover they weigh more than the big breakdown everyone remembers.

A simple definition, so we agree on terms

A micro-stop is a short machine stop, usually under a few minutes, cleared without any maintenance intervention. No part to replace, no technician to call: the operator clears it, restarts, and the cycle resumes. It is this absence of any formal intervention that sets it apart from a breakdown, and it also explains why it escapes every record.

The causes are familiar to any production manager: a jam at the machine infeed, a poorly positioned product, a sensor that loses the signal for a fraction of a second, an uneven material feed, a detection fault that forces a manual reset. Individually, each one seems trivial. Collectively, they paint the true picture of a line’s performance.

Why the manual log will never see them

The manual log rests on a simple assumption: a human writes down what happens. But a human cannot record a ten-second event that occurs while they are busy running their machine. By the time they realise the line has stopped, it has already restarted. The micro-stop falls into a structural blind spot, not through negligence, but through sheer physical impossibility.

The result is a declared OEE that is systematically more optimistic than reality. The log faithfully records the hour-long breakdown, because it is long, striking and easy to attribute. It ignores the hundred ten-second stops that, end to end, add up to even more lost time. So performance gets steered on the visible tip of the iceberg, while the submerged mass that really drags the yield down goes ignored.

The hidden cost: doing the maths changes everything

Take a deliberately conservative order of magnitude. As a purely illustrative example, if a machine suffers forty micro-stops per shift of fifteen seconds each, that is ten minutes lost per shift. Across three shifts, thirty minutes a day. Over a year of production, that adds up to dozens of hours of capacity gone up in smoke, with no report ever carrying a trace of it. And this calculation does not even account for the loss of pace that often follows each restart.

That lost capacity does not only cost machine time: it translates into delayed orders, overtime to catch up, and sometimes investments contemplated to add capacity that already exists but is being drained away by micro-stops. Recovering those minutes often means freeing up capacity without spending a euro of capex.

Measuring to the second: the only way to make them visible

To act on micro-stops you first have to see them, and to see them you have to measure them automatically. A sensor fitted on the machine records every stop to the second, without depending on an operator being free to write anything down. Every interruption, even a few seconds long, is time-stamped, counted and classified.

You then get what the manual log could never deliver: the real share of micro-stops in the OEE loss, machine by machine, shift by shift. The debate about whether the figure can be trusted ends, because the data is objective and continuous. Setting it up is not a project: the sensor is installed in under an hour, with no production stop, and the first usable data arrives within 48 hours.

From the figure to the cause: the power of sorting by frequency

Measuring is not enough; you have to understand. The strength of automatic measurement is that it lets you rank micro-stops by frequency and duration. You immediately see which causes come back most often and which cost the most cumulated time. It is the direct application of the Pareto principle to a phenomenon that was, until now, invisible.

Very often, two or three dominant causes explain the majority of a line’s micro-stops. A poorly set infeed station, a product type that jams regularly, a misplaced sensor. Once those causes are identified and quantified, improvement stops being a hunch: it becomes a prioritised action plan, with an expected and measurable gain.

Act, then verify the gain in real time

The effective sequence is always the same: measure continuously, rank the losses, act on the two or three dominant causes, then verify the gain. It is that last step that changes everything. Because the measurement is continuous, you see immediately whether the action taken has really reduced the frequency of micro-stops, or whether the problem persists in another form.

This short loop between action and verification transforms the culture on the floor. People no longer argue about whether an improvement worked: they read it in the data, the next day. 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 a new machine, but from visibility on these losses that could not be seen.

Why start with micro-stops

When you want to improve an OEE, the temptation is to aim for the spectacular: the big breakdown, the investment in a faster machine. Yet the most profitable first lever is almost always the micro-stop, because that is where the largest share of recoverable time hides, and because the corrective actions generally demand no heavy investment.

Starting with micro-stops also delivers fast, visible results that build the credibility of the approach with the teams. A gain measured within a few weeks on a recurring cause is worth more than a grand project whose benefits stay theoretical. That is the very logic of the 60-day pilot: prove the value on one line before extending it.

The effect on teams and maintenance

Making micro-stops visible does not only earn OEE points: it changes the teams’ relationship with their equipment. Operators, who endured these stops without being able to document them, finally have data that objectifies what they lived day to day. Maintenance, for its part, can target its interventions at the real causes rather than the loudest symptoms.

This objectification also defuses tension. As long as a line’s performance is discussed from incomplete logs, anyone can dispute the figure. With a continuous, shared measurement, the conversation shifts from the reliability of the data to the action to take. It is a change of posture as much as of figure.

Micro-stops and speed losses: a duo to tackle together

Micro-stops rarely travel alone. They often come with speed losses: after each restart, the machine takes time to return to its nominal pace. These two short losses, invisible to the manual log, form the core of the missing OEE. Tackling them together, with the same real-time measurement, multiplies the gain.

That is why automatic measurement does not just count stops: it also tracks the real pace, second by second. You see not only how many times the machine stopped, but also how fast it actually ran between two stops. This complete view is indispensable to recover capacity as a whole.

On old machines as well as new ones

One objection comes up often: ‘our machines are too old for this kind of measurement.’ The opposite is true. The measurement layer is standalone; it fits onto the machine without depending on its PLC or its age. A twenty-year-old press, a recent automated line, a semi-manual station: all can be instrumented the same way.

This independence from the existing equipment is decisive, because micro-stops particularly affect older machines, precisely the ones people hesitate to instrument. Being able to measure without changing anything in the installation lifts the last obstacle and lets you recover OEE exactly where it is lost most.

Key points to remember

The micro-stop is the costliest loss precisely because it is the most invisible. Too brief to note by hand, it repeats relentlessly and drags OEE down without leaving a trace. Only a measurement to the second makes it visible, ranks it by cause and lets you act on the two or three dominant ones. The gain is verified in real time, with no capex, on old machines as well as new ones. More than 450 plants across 30+ countries already monitor their OEE to the second with TeepTrak.

FAQ

What is a micro-stop in production?
A short machine stop, usually under a few minutes, cleared without any maintenance intervention. Too brief to note by hand, but very frequent: it repeats dozens of times per shift.

Why do my machines stop so often?
Often because of recurring micro-stops invisible to the manual log: jams, sensors, manual resets. Real-time measurement counts them to the second and reveals their dominant causes.

Do micro-stops really cost a lot?
Yes. Cumulated across every shift, they often represent several OEE points and exceed the cost of visible breakdowns, even though they appear in no report.

How do you reduce micro-stops?
By measuring them to the second, ranking them by frequency and duration, then acting on the two or three dominant causes. The gain is then verified in real time.

Do you need new machines to eliminate them?
No. The corrective actions generally demand no capex: you recover capacity through visibility and adjustment, on old machines as well as new ones.