A line that looks like it’s running fine can still be bleeding hours. Micro-stops, the 10, 20, 45-second interruptions that never make it onto a shift report, are the most common reason a plant’s real OEE sits well below what the schedule says it should be.
An operator clears a jam, resets a sensor, or waits for a case to feed through, then keeps working. No one writes it down. Multiply that by 40 or 50 times a shift across a line, and the plant has lost an hour or more of run time that never shows up anywhere except a lower yield at the end of the day.
Why micro-stops disappear from the record
Most plants running production monitoring software still rely on paper logs or a supervisor’s memory at the end of shift for the smallest stops. A stop under a minute rarely feels worth writing down in the moment, especially when the operator is focused on getting the line moving again.
That’s the real gap. It isn’t that operators are careless, it’s that manually logging a 15-second stop is more work than the stop itself. The result is a downtime report that only captures unplanned stops over 2 or 5 minutes, while the smaller stops that add up to far more lost time go untracked entirely.
The 15-second threshold that changes what you can see
Nulogy Smart Factory treats a short interruption differently. A server-side timer flags a stop the moment a line goes quiet for 15 seconds, with no operator input required. That single design choice separates real shortstop detection from a manual downtime log: the system catches the interruption whether or not anyone remembers to record it.
Each stop gets classified against the plant’s own reason codes: waiting on materials, a changeover, a quality hold, a mechanical jam. Over a week, that turns a vague sense that “the line has some hiccups” into a ranked list of exactly which shortstops are costing the most minutes, on which asset, on which shift.
What this looks like on the floor
H&T Waterbury, a manufacturer running Nulogy Smart Factory, used shortstop data to cut micro-stoppages by 71%, eliminating 8 of 9 hours of stoppage time on their highest-volume line. That kind of result doesn’t come from a single fix. It comes from finally being able to see which 15-second interruption happens 60 times a shift, a very different maintenance and training conversation than the one plant floor teams have when downtime is reported in daily totals with no detail below 2 minutes.
Visibility drives the fix, but the fix itself is usually simple once the pattern is visible: a guide rail adjustment, a changeover step reordered, a sensor recalibrated.
From detection to a maintenance work order
Micro-stops rarely show up alone. A line that stops every four minutes for 15 seconds is often telling you something about the condition of a specific asset, not just an unlucky shift. Nulogy Maintenance is built into Smart Factory so that machine condition, downtime, and work orders live in the same system rather than three separate spreadsheets. Instead of waiting for a scheduled inspection to catch the wear causing the stoppage, a maintenance lead can see the pattern building and open a work order before it becomes an unplanned line-down event.
Nora, the assistant built into Smart Factory, makes that same data usable without a dashboard. A supervisor can ask “why does Line 5 keep going down?” and get an answer sourced from the actual shortstop history, not a guess based on who happened to walk the floor that day.
Where to start if you don’t track shortstops today
Most plants running paper logs or spreadsheets are only seeing a fraction of their real downtime. If your team already suspects the schedule and the shift-end report don’t agree, shortstop tracking is usually the fastest way to close that gap, and it’s a core part of the plant floor data visibility most teams are missing. Start by asking three questions:
- Does your current system record any stop under 2 minutes, or does it rely on an operator remembering to log it?
- Can you see stoppage minutes broken out by reason code and by asset, not just as a daily total?
- Is that data available in real time, or only after the shift-end report is compiled?
If the answer to any of those is no, the plant is very likely losing more capacity to micro-stops than anyone on the floor can currently prove. See what to look for in equipment downtime monitoring software to see what changes once shortstops are visible.
Ready to see what your own line’s micro-stops actually cost? Request a demo of Nulogy Smart Factory and bring last week’s downtime report. Most plants find hours their current system never counted.
