OEE is a metric for measuring production efficiency. It can be used to monitor and improve production efficiency in production plants as well as individual machines. The acronym OEE stands for Overall Equipment Effectiveness, and it is composed of availability, performance, and quality.
OEE is a part of the TPM (Total Productive Maintenance) mindset, which aims toward the most complete production without stoppages, machine breakdowns, slowdowns, or malfunctions. TPM was developed in Japan in the early 1970s, and OEE became one of the metrics for tracking it.
In a perfect production, the production machines run continuously at full speed without any quality losses, resulting in an OEE of 100%. However, global studies have shown that the average OEE in manufacturing is only around 60%. In general, companies with an OEE of more than 85% are already considered to be highly efficient.
Divided into three components, OEE considers and measures several causes of production loss, such as stoppages, malfunctions, material shortages, reduced production performance, and quality defects. OEE also prevents improvement on only one component, because in the OEE metric, availability, performance, and quality are interdependent.
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Divided into three components, OEE considers and measures several causes of production loss, such as stoppages, malfunctions, material shortages, reduced production performance, and quality defects. OEE also prevents improvement on only one component, because in the OEE metric, availability, performance, and quality are interdependent.
Once the contribution of the different components (availability, performance, quality) to the theoretical maximum is known, the OEE calculation can be performed. For example, if the percentage of all components is 80%, the overall efficiency is only 51.2% of the total theoretical efficiency.
OEE monitoring is used to analyze the state of efficiency and thereby improve productivity. By considering the different elements, it highlights problem areas that can no longer be explained away. Numerical data makes it easier to identify problems, compare them, and set targets.
In recent years, corporate management has noticed the link between the OEE metric and the profitability of production. In other words, the OEE metric can be used to measure the efficiency gained from a company’s investment in production machinery. In a competitive environment, the optimal OEE efficiency means the best relative profitability.
Availability, performance, and quality are discovered by collecting production data. The most reliable way to process this information is to collect it electronically from the industrial control system, for example as I/O, counter, pulse, or analog data. This type of data collection eliminates the human errors caused by manual logging, and the inaccuracies caused by defective sensors. The collected data can be analyzed and processed with reports generated by the production monitoring system.
Once the information has been collected and the OEE metric is known, efforts should be made to maintain or improve it. Often, this means analyzing the maintenance information from the production machinery, such as malfunctions, maintenance hours, and their costs. After this, it is necessary to consider the root causes for the issues and how these could be prevented or prepared for in the future.
We have updated our popular guide to answer our most frequently asked questions about measuring OEE. In the material, our experts explain why measuring the OEE is worthwhile and why applying it to your own production is so important.
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