- \n
- On packaging lines, micro-stops cluster at the end of the line.<\/li>\n
- Labelers, case packers, conveyors, sensors and format settings are the main sources.<\/li>\n
- Without automatic measurement they stay invisible in reports.<\/li>\n
- A Pareto on lost time and verified quick actions bring the count down.<\/li>\n<\/ul>\n<\/div>\n
Why packaging is where micro-stops thrive<\/h2>\n
A packaging line chains several machines linked by conveyors, with high speeds and frequent format changes. Each machine has its own detections (product present, label present, case opened) and each one can trigger a stop of a few seconds. An operator restarts, the line runs again, and nobody writes anything down: the stop was too short to deserve a line in the logbook.<\/p>\n
The problem is repetition. A 30 second stop is nothing. The same stop 80 times per shift is 40 minutes of lost production, not counting the accumulation and conveyor clearing it causes upstream. When the lead machine sets the pace, every micro-stop at the end of the line ends up blocking it, and the loss spreads.<\/p>\n
The five zones where most micro-stops start<\/h2>\n
From one plant to another, the same families of causes come back. Use the table below as a checklist for a first walk along the line.<\/p>\n
\n\n
\n \nZone<\/th>\n Frequent causes<\/th>\n What to measure<\/th>\n Possible quick action<\/th>\n<\/tr>\n<\/thead>\n \n Labeler<\/td>\n Label break or peel, poor gap detection, end of reel, glue setting<\/td>\n Stops per hour and per label reference<\/td>\n Gap sensor setting standard per reference, reels prepared before changeover<\/td>\n<\/tr>\n \n Case packer, cartoner<\/td>\n Badly formed case, empty blank magazine, damp or warped board, worn suction cups<\/td>\n Short repeated stops, linked or not to a batch of cases<\/td>\n Visual check of suction cups, magazine refill rule, dry storage of blanks<\/td>\n<\/tr>\n \n Conveyors and accumulation<\/td>\n Fallen products, overlaps, misplaced guides, buffer too short<\/td>\n Starved or blocked stops at machine infeed<\/td>\n Guide positions marked per format, clean transfers, review accumulation thresholds<\/td>\n<\/tr>\n \n Sensors and detection<\/td>\n Dirty or misaligned photo eye, false faults, worn cable<\/td>\n Stops with no visible cause that disappear after cleaning<\/td>\n Sensor cleaning at shift start, secure and mark sensor positions<\/td>\n<\/tr>\n \n Format settings<\/td>\n Incomplete changeover, settings done from memory, unstable first hour<\/td>\n Density of micro-stops in the hour after a changeover<\/td>\n Setting sheet per format with numeric values, validation on a short first batch<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n Jams run through all these zones: they are the visible symptom, rarely the cause. A recurring jam at the labeler can come from a badly set conveyor upstream or from a product arriving in the wrong orientation. That is why measurement must cover the line, not just the machine that stops.<\/p>\n
![\"Four](\"https:\/\/teeptrak.com\/wp-content\/uploads\/2026\/11\/teeptrak-solo-a7-en.png\")
<\/figure>\nMeasure automatically, or you see nothing<\/h2>\n
Manual entry does not work for micro-stops. An operator who restarts a labeler every five minutes has neither the time nor the will to log each stop. Tracking sheets capture long breakdowns and miss the rest. As a result, the Pareto of declared stops puts breakdowns first while the lost time is elsewhere.<\/p>\n
Automatic measurement changes the picture. Every stop is time stamped with its duration, even if it lasts ten seconds. You can set a threshold (for example, any stop under two minutes is a micro-stop), look at counts per hour, per shift, per product, and above all link them to line events: format change, reel change, shift start. Operators then only need to qualify the few recurring stops that the data brings out, instead of logging everything.<\/p>\n
Example: a tray packing line over one week<\/h2>\n
For example, imagine a tray packing line with a labeler, a case packer and manual palletizing. The figures below are fictitious and only illustrate the method. Over one week, automatic measurement records about 1,800 stops shorter than two minutes, roughly 19 hours of lost production, while the logbook mentioned only a handful.<\/p>\n
In this example the Pareto by machine reads: labeler 8 hours, case packer 5.9 hours, accumulation conveyor 3.4 hours, other 1.7 hours. On the labeler, stops cluster in the hour after each reel change. On the case packer, they rise sharply on Monday morning, after a weekend where blanks stayed near an open dock door. Two causes, two simple actions: a reel preparation and setting standard, and dry storage for blanks. Neither needs capital spending.<\/p>\n
A five step method to reduce micro-stops<\/h2>\n
- \n
- Measure the whole line for two weeks.<\/strong> Without changing habits, to get a reliable baseline: count, duration, split by machine and by hour.<\/li>\n
- Build the Pareto on lost time, not on count.<\/strong> A thousand five second stops weigh less than two hundred one minute stops. Cumulative time sets priorities.<\/li>\n
- Cross with line events.<\/strong> Format change, reel change, new batch of blanks, shift start: most micro-stops have an identifiable trigger.<\/li>\n
- Launch quick actions on the top three causes.<\/strong> Sensor cleaning and marking, setting standards per format, refill rules for consumables. Actions the shop floor team can sustain.<\/li>\n
- Check the effect with data.<\/strong> Compare the following week with the baseline. If the cause does not drop, the action targeted the wrong cause.<\/li>\n<\/ol>\n
This short loop matters more than sophisticated analysis. A team that tackles three causes a month and checks the result improves faster than one that produces a full diagnosis once a year.<\/p>\n
What TEEPTRAK brings to a packaging line<\/h2>\n
TEEPTRAK measures OEE, downtime and micro-stops on each machine in real time. A module wired into the electrical cabinet and a sensor at the line record machine activity without any PLC connection, so machines of different ages and brands on the same line can be equipped. Installation takes about one hour per machine and OEE is available within 48 hours. Every micro-stop is time stamped, operators qualify recurring causes on a tablet, and the team has an up to date Pareto for its daily meetings. The solution runs in more than 700 plants in over 30 countries, with an average gain of 10 to 15 OEE points.<\/p>\n
Further reading<\/h3>\n
- \n
- Eliminating Micro-Stops: Pareto, Top 3 Root Causes, and Targeted SMED Project<\/a><\/li>\n
- Changeover time: how to really measure it, ramp-up included<\/a><\/li>\n<\/ul>\n
FAQ<\/h2>\n
From what duration is a stop a micro-stop?<\/strong> There is no universal threshold. Many plants use a few seconds up to two or three minutes. What matters is setting one threshold per line and keeping it so periods can be compared.<\/p>\n
Should every machine on the line be equipped, or only the bottleneck?<\/strong> Measuring only the bottleneck shows the effect, not the cause. On a packaging line, a case packer stop often blocks the labeler upstream. Measuring the main machines tells you which one stops which.<\/p>\n
Are micro-stops a maintenance or a production issue?<\/strong> Both. Format settings, consumables and sensor cleaning often belong to production, component wear to maintenance. A shared Pareto stops each department waiting for the other.<\/p>\n
\nYour real OEE within days<\/div>\nModule wired in the electrical cabinet, sensor at the edge of the line, about one hour of installation per machine, no MES project and no production stop.<\/div>\n - Changeover time: how to really measure it, ramp-up included<\/a><\/li>\n<\/ul>\n
- Build the Pareto on lost time, not on count.<\/strong> A thousand five second stops weigh less than two hundred one minute stops. Cumulative time sets priorities.<\/li>\n
- Measure the whole line for two weeks.<\/strong> Without changing habits, to get a reliable baseline: count, duration, split by machine and by hour.<\/li>\n