Microstops: The Downtime No One Talks About

When people think about downtime, they think about big events.

A machine stops, a line goes down or production halts.

These moments are normally visible, measurable, and investigated.

But they’re not always where the losses come from.

The Problem Isn’t the Big Stops

Some operations are already optimized to handle major downtime:

• Alerts are triggered
• Teams respond quickly
• Root causes are investigated

Big stops get attention.

Microstops don’t (a lot of times they don't even show up in your OEE reports).

What Are Microstops?

Microstops are short interruptions in production:

• A few seconds
• Maybe some few minutes
• Often barely noticeable in isolation

They don’t shut down the line completely but they break the flow.

At the end everything resumes.

Why They Get Ignored

Microstops sit in a blind spot.

They are:

• Too short to trigger alarms
• Too frequent to investigate manually
• Too small to stand out in reports

So they get labeled as “normal”, overtime they become invisible.

The Real Impact

Individually you might feel that microstops don’t matter much.

But collectively, they add up.

Seconds turn into minutes.
Minutes turn into hours.

And beyond lost time, they introduce:

• Process instability
• Increased wear on equipment
• Operator interruptions
• Downstream inefficiencies

The system keeps running but not optimally.

Why They’re Hard to Fix

Microstops are rarely caused by a single issue.

They often come from:

• Small variations in inputs
• Minor control instabilities
• Interactions between subsystems
• Inconsistent operating conditions

There’s no single event to investigate.

Only patterns to uncover.

What Most Systems Miss

Traditional metrics don’t capture microstops well.

Aggregation smooths them out.
Averages hide them.
Reports prioritize larger events.

So the data exists but the insight doesn’t.

What It Takes to See Microstops Clearly

Solving microstops isn’t about reacting faster.

It’s about seeing them differently.

That means:

• Identifying repeated short interruptions, not just major stops
• Understanding how small disruptions propagate through the system

But to do that, you need the right level of detail.

In many systems, microstops are hard to detect because the data is already aggregated or filtered.

When your source of truth is closer to the machine like the PLC, you see something different:

• State changes at high frequency
• Short interruptions that never make it into reports
• The exact sequence of events as they happen

That’s where microstops become visible.

Because they don’t disappear into averages.

They show up as they actually occur.

A Different Way to Look at Downtime

If you only focus on major stops, you’re solving the most visible problems.

Not necessarily the most impactful ones.

Because in many systems, the biggest losses don’t come from one big failure.

They come from hundreds of small interruptions.

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