In many factories today, production lines run daily, machines operate, and products are shipped on schedule. However, this does not mean the system is operating efficiently.

In fact, many production losses occur silently and accumulate over time. They don’t cause immediate serious problems and are often overlooked. Only when output drops sharply, costs increase, or customers complain about quality do businesses begin to look for the cause.

Unfortunately, by then, these losses have existed for months or years. Signs of inefficiency often don’t appear as a single major machine downtime, but rather from hundreds of small losses occurring daily:

• Machines run but output is low.
• Operating speed is lower than designed.
• Repeated short machine downtimes.
• The error rate gradually increases over time.
• Inconsistent reporting between shifts.

If businesses recognize these signs early, improving performance will be much simpler and less costly. Read the article below to learn what the signs of performance loss are and how to fix them.

I. Sign 1: End-of-shift output consistently falls short of targets even when the machine is “still running”

This is one of the common signs of inefficiency in FMCG, F&B, and packaging factories. On the surface, everything seems normal: machines are running, there are no major breakdowns, and the production line is operating continuously. However, at the end of each shift, actual output is often lower than planned.

For example, the production plan might be 20,000 bottles per shift, but only 18,000 bottles are actually produced, a shortfall of 10%. If this situation persists, the business will lose thousands of products every day, affecting delivery schedules and increasing operating costs.

The cause often stems from machines running below optimal capacity, short stops (micro-stops) not being recorded, or waiting for raw materials or previous processes. Therefore, simply looking at the “machines running” status does not necessarily mean the production line is operating efficiently.

► Read more: How to control downtime in FMCG production?

II. Sign 2: Frequent and Unrecorded Micro-Stoppages

Many businesses only pay attention to major machine downtime lasting tens of minutes or hours. However, in reality, significant losses often come from short micro-stops such as bottle jams, packaging jams, missing labels, sensor malfunctions, material waiting times, or waiting for workers to resolve issues. Each stop only lasts a few seconds to a few tens of seconds, so operators usually restart immediately without notifying.

But if a production line experiences 100 micro-stops per shift, each lasting about 20 seconds, the total lost time amounts to over 33 minutes per shift. With 3 production shifts per day, a business could lose more than 1.5 hours of operation without realizing it. Over time, these small losses accumulate into a very large number and become the reason why many production lines are inefficient even without any serious incidents occurring.

III. Sign 3: Actual speed is lower than design speed but no one is monitoring

Many production lines are designed to operate at a certain speed, such as 600 bottles/minute for a bottling line. However, after years of operation, the actual speed may only be around 520 bottles/minute without anyone noticing this change. The reason is that the machine still operates stably, without warnings or serious problems, so everyone assumes the line is operating normally.

However, if the actual operating speed is only 10-15% lower than the design speed, the business can lose thousands of products every day. This is a form of silent loss, very difficult to detect without a real-time performance monitoring system. The causes could stem from:

1. Equipment Degradation

• Worn conveyor belts.
• Worn bearings.
• Unstable sensor operation.

2. Operator-Intentional Speed ​​Reduction

To limit errors or avoid troubleshooting, machine speed is reduced below the design speed.

3. Missynchronization of Pre- and Post-Production Processes

Bottlenecks appear, causing the entire production line to slow down. It’s worth noting that most businesses do not monitor speed indicators in real time. Therefore, this loss occurs silently and lasts for many years.

IV. Sign 4: The rate of defective or recyclable materials gradually increases over time

Inefficient production lines not only reduce output but also directly affect product quality. Initially, the defect rate may only be around 1% and not cause much concern. However, over time, this number can increase to 2%, then gradually reach 3–5% after a few months of operation. Because the changes occur gradually and do not create obvious problems, many factories often do not realize that product quality is declining and losses due to defective or recyclable materials are silently increasing. Common causes include:

1. Mechanical equipment malfunctions:

• Decreased concentricity.
• Increased vibration.
• Sensor instability.

2. Changes in material quality:

Uneven input materials increase the failure rate.

3. Machine operating outside optimal conditions:

• Temperature.
• Pressure.
• Speed.

4. Lack of Analytical Data

Without detailed tracking data, businesses find it difficult to identify where errors occur, which production shifts have high error rates, or which product types frequently generate high levels of waste. Therefore, quality issues are often only discovered after significant losses have already occurred.

As error and waste rates increase, businesses face higher raw material costs, increased recycling costs, reduced actual productivity, and longer delivery times. This not only increases operating costs but also impacts customer satisfaction. This is a clear sign that the production line is losing efficiency, but it is often underestimated because these losses occur gradually and are difficult to detect.

► Read more: Why businesses need real-time data

V. Sign 5: Inconsistent performance reporting between shifts or production lines, dependent on the person recording the data

A very common problem in many factories today is that production data is still recorded manually through Excel spreadsheets, paper documents, internal files, or end-of-shift reports. This management method makes data collection highly dependent on the person recording the data and lacks consistency.

As a result, the same type of incident is recorded differently in each production shift. For example, shift A reports a total machine downtime of 20 minutes, while shift B records 45 minutes, and shift C doesn’t even record the cause of the machine downtime. The differences in recording methods among shift supervisors lead to inconsistent data, making it difficult to analyze the cause and accurately assess the performance of the production line. This results in:

1. Inconsistent data

Comparisons between shifts are impossible.

2. Time-consuming report compilation

Production engineers spend hours entering data.

3. Decisions based on intuition

Uncertainty about the real problem.

4. Difficulty in continuous improvement

• Lean Manufacturing, TPM, and Kaizen all require accurate data for implementation.
• If the input data is unreliable, all subsequent improvement activities become ineffective.
• This is why many businesses invest in new machinery but productivity doesn’t increase proportionally.

► Read more: Why do many factories manage production using Excel?

(ảnh 1)

VI. What to do when recognizing these signs? Start with accurate measurement

You can’t improve what can’t be measured. When signs of performance loss appear, the first step isn’t to invest in more machinery, but to build an accurate measurement system. Businesses need to know:

• When do machines stop? How long do the downtime last?
• What is the machine’s running speed? Is it lower than the design speed?
• How many micro-stops occur? What is the main cause?
• How does product quality change? Which shift has the highest error rate?
• What is the actual OEE? What are the Availability, Performance, and Quality metrics?

When data is collected in real time, businesses can:

• Detect losses as soon as they occur.
• Identify the root causes.
• Compare performance between shifts and production lines.
• Make data-driven decisions instead of relying on intuition.
• Continuously improve OEE.

Many businesses have realized that by simply identifying the right problems, they can increase efficiency without investing in additional equipment.

VII. Sign up for an i-OEE demo to view your production line’s real-world data

Most production losses don’t come from major incidents but from small, everyday occurrences. If your production line is experiencing one or more of the following issues:

• End-of-shift output not meeting targets.
• Continuous micro-stops.
• Operating speeds lower than designed.
• Increasingly high scrap rates.
• Inconsistent reporting between shifts.

These could be signs that your production line is losing efficiency. Early detection and accurate measurement will help your business reduce downtime, improve OEE, and optimize productivity sustainably. Sign up for an i-OEE demo to view your production line’s real-world data. i-OEE helps businesses monitor in real time:

• OEE of each machine and the entire production line.
• Downtime and micro-stops.
• Performance by shift and by product.
• Actual operating speed.
• Error rates and product quality.
• Intuitive dashboards support continuous improvement.

Contact the i-Soft team to sign up for a demo and discover how real-time data can help your factory improve performance starting today.

i-Soft Joint Stock Company – specializing in providing factory digitalization software solutions

► Address: 115 N2 Road, Long Truong Ward, Ho Chi Minh City, Vietnam
► Hotline: 0989 739 488
► Email: info@i-soft.com.vn