In the FMCG industry, every minute of downtime on the production line means lost output, delayed orders, and increased labor costs. However, in many factories, FMCG downtime is still only recorded manually at the end of each shift or compiled using Excel. By the time the numbers are seen, the problem has already occurred hours earlier. Therefore, the issue isn’t simply “having downtime,” but rather not knowing exactly where and when the downtime is coming from. So, what are the most common causes of machine downtime in FMCG packaging lines? Read on to understand more.
I. Characteristics of Downtime in the FMCG Industry
Unlike discrete production models, FMCG production lines typically operate at high speeds, comprising many consecutive stages such as filling, capping, labeling, packaging, and palletizing, and are highly dependent on the synchronization between machines. Even a small bottleneck at any stage can cause the entire packaging line to stop. Therefore, downtime in FMCG is usually not a major incident, but rather short, repeated stoppages during a shift, difficult to detect visually and easily overlooked in manual record-keeping. As a result, OEE (Overall Equipment Effectiveness) is lower than expected, but the factory cannot identify the true cause.
II. 7 Common Causes of Machine Downtime
Below are the most common causes of machine downtime encountered by many FMCG factories:
1. Product Jam on the Conveyor Belt
Distorted packaging, spilled bottles, and misaligned products cause line blockages, leading to short but repeated downtimes dozens of times per shift.
2. Waiting for Materials/Packaging
Missing caps, labels, or packaging film cause the line to wait for material supply.
3. Long Setup/Changeover Time
Changing SKUs or bottle/can formats takes longer than planned, directly impacting availability.
4. Slower-than-Standard Speed
Operators reduce speed for “safety” or due to machine degradation; although the machine doesn’t stop completely, performance decreases significantly.
5. Product Quality Defects (High Reject/Rework Rate)
Defective products must be discarded or reworked, affecting quality and causing continuous disruptions.
6. Minor Technical Issues
Dirty sensors, misaligned sensors, mechanical jams, or minor electrical faults can cause short line downtimes of 1-3 minutes, but these accumulate into significant downtime.
7. Waiting for Personnel/Manual Troubleshooting
Waiting for fault confirmation, technical support, or QC assistance—these are “dead” times that go unrecorded. These small downtimes are the “silent culprits” that drag the line’s OEE down to 60-70%.
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► Read more: How does downtime affect OEE?
III. Why is it difficult to control OEE using Excel or manual recording?
In many factories, operational data is still recorded manually: compiled at the end of each shift, downtime estimated, and then re-entered into Excel. While simple and familiar, this method has many limitations. Short downtimes are often not fully recorded, the timing of incidents is inaccurate, and it is difficult to clearly distinguish between planned and unplanned downtime.
As a result, performance reports may not accurately reflect the actual operating status of the production line. When baseline data is inaccurate, root cause analysis and performance improvement decisions are also less effective.
IV. More Effective Ways to Monitor Downtime by Line
Instead of manual aggregation, many factories in the FMCG industry are switching to automated real-time downtime monitoring through software as follows:
- Continuously recording machine status
- Automatically calculating downtime for each line/machine
- Classifying the causes of downtime
- Directly displaying metrics such as Availability, Performance and Quality, and OEE for the machine or the entire line on the dashboard.
- Viewing by shift/area/machine/production line

Thanks to real-time data updates, management teams can instantly identify which production lines are down and the specific causes, instead of waiting for end-of-day reports. This shortens incident response time, reduces total downtime, optimizes output, and sustainably improves output efficiency (OEE) step by step.
In fast-moving consumer goods (FMCG) factories, downtime isn’t always a major incident. Often, it’s dozens of small, overlooked incidents each day. And without proper measurement methods, you’ll never know what your true OEE is. Sign up for a trial of the i-OEE real-time downtime monitoring system today to see the performance of each production line firsthand with i-Soft!
i-Soft Joint Stock Company – specializing in providing digital factory software solutions
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