This article is for plant managers, production managers, continuous improvement leads and maintenance managers running two or three shifts who see, week after week, that the night shift does not reach the same OEE as the day shifts. It answers three questions: is the gap real or created by the way it is measured, where does it usually come from, and which routines reduce it without turning the comparison into a blame game.
- An OEE gap between shifts only makes sense with identical measurement.
- Handover, staffing, no night maintenance and settings explain most gaps.
- Breaking OEE into availability, performance and quality shows where to look.
- Short shared routines close the gap without setting shifts against each other.
Before comparing, measure every shift the same way
An OEE gap between shifts only means something if all shifts are measured with the same rules. That is rarely the case when OEE is rebuilt from shift sheets. The day supervisor logs stops longer than five minutes, the night supervisor only logs breakdowns, a third rounds quantities to the nearest box. The final figure compares data entry habits, not performance.
Four things must be identical for every shift: planned production time (breaks and start of shift meetings handled the same way), the reference cycle time per product, the threshold above which a stop is counted, and the rule for counting good parts. As long as these rules differ, the discussion is about measurement, not about the shop floor. Automatic measurement removes most of the problem: the machine is observed the same way at 3 a.m. and at 10 a.m., and operators only have to qualify the reasons for stops.
Typical causes of a gap between shifts
Once measurement is harmonised, the remaining gap is almost always organisational, rarely a matter of individual skill. The most common causes:
- Shift handover. A two minute verbal handover at the end of the line loses useful information: a setting in progress, incoming material, a defect to watch. The next shift rediscovers the problem and loses the start of the shift.
- Staffing. At night an absence is not covered, one setter looks after several lines, a temporary worker is new to the station. Stops last longer because everyone waits for the only person able to intervene.
- No maintenance at night. Without a technician on site, a breakdown fixed in twenty minutes during the day can stop the machine until the on call technician arrives or until morning. The gap then sits in availability, not in performance.
- Settings. Each shift sometimes has its own parameters, tolerances and way of restarting after a stop. Speed differences and restart scrap are the trace.
- Product mix. If long runs are scheduled during the day and short runs at night, or the reverse, the shifts are not playing the same game.
An example to make it concrete
For example, take a packaging line running three shifts (fictitious figures, for illustration only). Over a month, the shift sheets show 68% OEE in the morning, 65% in the afternoon and 54% at night. Management concludes that the night shift underperforms. Once measurement is made identical, the breakdown tells a different story: performance and quality are close across the three shifts, and most of the gap comes from availability. The night concentrates two kinds of stops: breakdowns waiting for the on call technician, and a much longer start of shift restart, because there are no written notes on the setting in progress. The issue is not the night team’s motivation but access to maintenance and the quality of the handover.
A fair comparison, step by step
- Freeze the measurement rules: planned time, reference cycle per product, stop threshold and part counting, identical for all shifts and written down.
- Break OEE down by shift into availability, performance and quality. A global gap does not tell you where to look, the breakdown does.
- Compare at a comparable product mix: same product or product family, or compare each shift to its own reference cycle per product.
- Look at stops by reason and by hour: start of shift, breaks, middle of the night. Gaps often concentrate on a few time slots.
- Look over several weeks: one bad night is not a trend. Compare averages over at least four weeks.
| Component that drops | Most likely lead | First action |
|---|---|---|
| Availability | No maintenance, waiting for a setter, long restart | On call cover and first level troubleshooting by operators |
| Performance | Different settings, reduced speed, micro stops | Standard parameters displayed at the station |
| Quality | Restarts, material changes, variable tolerances | Reinforced checks after each restart |
Routines that reduce the gap over time
The shift handover becomes a short but structured routine: machine status, settings changed, stops in progress, priorities for the next shift, with a written or displayed support. The daily 10 to 15 minute performance review covers the figures of all three shifts, not just the previous day shift. Once a week, a cross shift meeting compares the three breakdowns and picks one common topic, for example the start of shift restart. Finally, the night shift needs access to the same data and the same feedback as the day shifts: a line screen showing the OEE of the current shift is worth more than a chart discussed the next day without them.
The right goal is not to push everyone up to the best shift through pressure, but to copy what the best shift does differently: its handover, its settings, its way of restarting.
TEEPTRAK automatically measures stops, micro stops and speed on every machine with a module wired into the electrical cabinet and a sensor at the line, with no connection to the PLC. Installation takes about one hour per machine and OEE is available within 48 hours, with the same measurement rule for every shift. The solution runs in more than 700 plants in more than 30 countries.
Further reading
- Performance tracking: 5 measurement pitfalls that distort decisions
- MTBF MTTR unplanned downtime: measuring equipment reliability
- Downtime reason codes: the standard list and how to use them
FAQ
Is an OEE gap between shifts always abnormal? No. A different product mix, shorter runs or operations planned on a specific shift can explain a gap. It becomes an issue when it persists at a comparable mix and with identical measurement.
Should each shift’s OEE be displayed on the shop floor? Yes, as long as you show the breakdown and the causes, not a ranking. The display is there to choose actions, not to single out a team.
Which component should you start with to close the night gap? Usually availability: time spent waiting for maintenance and the length of the start of shift restart. These are the fastest levers to measure and fix.
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