Overall Equipment Effectiveness (OEE) is a productivity measurement that’s often used in Lean manufacturing environments. When combined with other metrics such as Overall Process Effectiveness (OPE), OEE can uncover important insights into the reliability of your individual tools and instruments. The practice of OEE measurement first began in the late 1960s as a metric to optimize individual tools and has been refined in recent decades to assess the performance of entire manufacturing lines.
This user’s guide will present a detailed overview for measuring, understanding, and leveraging OEE metrics. We’ll also look at the important benefits of using OEE and how your organization can implement practices that take advantage of the insights that these metrics offer. Manufacturing performance should always be considered from several perspectives and OEE can be a valuable resource for your factory and warehouse teams.
Overall equipment effectiveness is the primary method for measuring and reporting productivity in a manufacturing environment. One of the main reasons that this metric has become a manufacturing best practice is its simplicity. The actual measurement of OEE, which we’ll cover in a later section, can be a bit challenging to establish but the final calculation will yield a simple percentage. This percentage is calculated in the three areas of quality, performance, and availability. By comparing your equipment data to industry benchmarks, you can gain a better understanding of your manufacturing processes.
The use of OEE metrics can result in many operational benefits. In addition to improving decision-making, overall equipment effectiveness can also help eliminate non-value-added process steps in your manufacturing workflows. The ability to diagnose equipment problems and inefficiencies also helps to improve maintenance management activities. These are some of the most common benefits of using OEE.
It’s logical to assume that an improvement in equipment effectiveness cloud also results in an improvement in product quality. Many factors of quality are determined by the accuracy and precision of the equipment. Focusing on OEE improvements can also lead to greater gains in first-pass yield and a reduction of manufacturing time and costs.
When manufacturing equipment is more reliable and less subject to unplanned downtime, it is easier to determine process cycle times. This reduction in outlying data points is also a great way to enhance the precision of your manufacturing workflows.
The ability to influence equipment performance can help increase the available capacity for tools and the throughput of your facility. As a diagnostic tool, OEE metrics also help identify shifts in equipment performance that can lead to unplanned downtime and preventable repairs.
As mentioned previously, overall equipment effectiveness must take into account three factors that measure availability, performance, and quality. When combined, these metrics create a complete picture of a tool’s effectiveness. We’ll break down each one individually to better understand how OEE is calculated.
((Run Time (Planned Run Time – Stop Time))/Planned Run Time
This measurement represents the amount of time that a machine is available versus the amount of time it is scheduled for use.
(Ideal Cycle Time x Total Count)/ Run Time
This equation measures the actual performance time of the equipment versus the expected cycle time for an operation.
Number of Good Items / Number of Produced Item
A simple calculation, the equipment quality simply identifies the number of in-spec items versus the total number of items produced.
After measurements are completed the three values for availability, performance and quality can be multiplied together to reach a final OEE percentage. This number is then best used as a benchmark to identify suitable improvements.
Calculating these three factors requires complete and accurate data. Tagging equipment with durable asset tags helps to streamline documentation and ensure a high degree of accuracy by eliminating human error that’s common with manual documentation methods. With a variety of asset tags and barcode solutions available, such as asset tags for facilities management, equipment tags, high-heat barcode labels, work-in-process labels, and other barcode solutions, it’s possible to tag all your equipment assets, even those that operate in harsh manufacturing environments.
Metalphoto® anodized aluminum asset tags, for example, offer exceptional durability to withstand the harshest environments in both indoor and outdoor applications. Metalphoto asset tags have an expected exterior lifespan of more than 20 years when treated with Camcode’s image intensification process. These durable asset tags and labels can be quickly and easily scanned with a barcode scanner to document maintenance work, operational times, and other data to calculate OEE with accuracy.
While an OEE value of 100% would be ideal for any manufacturer, it’s best to compare your values to accepted benchmarks. This is a basic set of guidelines for understanding the OEE measurements that can get you started:
As you collect data and identify improvements, one great way to categorize your findings is by using the “six big losses.” The six big losses are the most common areas of difficulty that are encountered in a manufacturing environment. They are:
In many ways, these six categories represent another level of detail for your overall OEE measurement can eliminating the appearance of these losses can improve your OEE scores over time.
The use of overall equipment effectiveness is an excellent practice to monitor the performance of your manufacturing equipment. When combined with other metrics and a strong commitment to performance management, it’s possible to achieve higher levels of product quality and throughput. Understanding how the OEE metric works will also help you educate and inform your team about the value of measuring these important areas.