In the fast-moving consumer goods (FMCG) production line, where output is high, profit margins are low, and production is stable, every minute of downtime incurs costs. However, many factories still struggle to effectively manage downtime, leading to unexplained productivity losses. So, where does downtime come from, and how can it be better controlled? Read more to know the reason and how to fix it.
I. What is Downtime?
Downtime is the period of time during which machinery or production lines cannot operate as planned, disrupting or reducing production efficiency. Downtime includes not only complete machine shutdowns due to malfunctions, maintenance, or material shortages, but also periods of machines running slower than standard speeds, repeated short stops, or waiting for operations between processes. If not properly recorded and controlled, downtime will silently reduce OEE, increase operating costs, and directly impact delivery schedules.
1. Downtime in FMCG Production Lines
Downtime in FMCG production lines is not simply about machines stopping completely, but also encompasses various situations during operation. These could include:
- Sudden machine shutdowns due to malfunctions
- Waiting time for mold changes, packaging changes, or line cleaning
- Machines running slower than standard speeds
- Short but repeated shutdowns
These periods of “inefficiency loss” are often difficult to fully record manually, especially in the continuous shift-based production environment of the FMCG industry.
2. Why is downtime difficult to control in FMCG?
- Multiple shifts – multiple product lines
FMCG production lines often run 2-3 shifts per day and change SKUs constantly, making downtime recording on paper or in Excel files prone to inaccuracies and inconsistencies.
- Small but frequent downtime
“Minor” incidents such as packaging jams, sensor malfunctions, machine adjustments, etc., if not fully recorded, can result in significantly higher actual downtime than reported.
- Data is only recorded after the shift ends
When data is only compiled after each shift or at the end of the day, incidents on the production line have already occurred and ended, leaving the operating team with no opportunity to intervene in time. As a result, the causes of machine downtime are not addressed immediately, leading to recurring errors in subsequent production shifts and reducing the overall efficiency of the entire production line.
II. Effective Downtime Management and the Role of OEE in Downtime Control
To effectively manage downtime in FMCG production, factories need to shift from manual recording to real-time data collection. This not only allows them to “see” machine downtime but also to understand why and for how long. The system needs to automatically record the running and stopping status of machinery, classify downtime as planned or unplanned, track details by shift, line, and individual equipment, and immediately alert when downtime exceeds the allowable limit so that the operating team can intervene promptly. This is the foundation of production performance management based on OEE – where downtime is placed within the overall picture encompassing Availability, Performance, and Quality. Availability directly reflects downtime: the lower the Availability, the higher the downtime and the greater the impact on overall production line productivity.
Key elements for effective downtime management:
- Automatic recording of machine start and stop times
- Classification of downtime: planned / unplanned
- Recording the cause of machine stoppages
- Monitoring downtime by shift, line, and machine
- Real-time alerts when downtime exceeds thresholds
V. How does i-OEE help control downtime in FMCG?
i-OEE is a software solution specifically designed for FMCG manufacturing environments, helping factories proactively and systematically control downtime. Instead of manually recording or aggregating data after a shift, i-OEE automatically collects data from machinery in real time, accurately recording when machines run, stop, and the reasons for downtime. Downtime data is analyzed in detail by shift, by line, and by type of incident, along with a warning mechanism for abnormal machine stops, allowing operators to intervene promptly. All historical data is stored and visualized to support continuous improvement, transforming downtime from a “day-end number” into actionable signals during the production shift.
In reality, in FMCG production lines, good downtime control means increased productivity without the need for additional machinery investment. Capacity expansion doesn’t just come from purchasing more equipment; it comes from improving availability, reducing unplanned downtime, and enhancing OEE (On-Energy Effectiveness) through accurate, complete, and timely visualization of operational data. When downtime is accurately measured and analyzed, every minute of downtime becomes an opportunity for optimization.
Downtime is unavoidable in FMCG production, but unseen and uncontrolled downtime is the biggest problem. With a real-time OEE-based approach, businesses can proactively address issues, reduce waste, and sustainably optimize line performance. i-OEE is the tool that transforms downtime from a “blind spot” in operations into valuable data for long-term production improvement. Contact i-Soft today for a detailed demo of how i-OEE reduces downtime in your production line.
