To monitor machine productivity, a complete set of indicators, from general to highly detailed is available. The OEE (Overall Equipment Effectiveness) is the industry-standard indicator for this purpose. It helps to:
- Measure performance
- Support business management and decision-making
- Drive action plans
The AFNOR Standard
OEE provides a way to evaluate the global performance of an industrial asset, bringing together multiple types of information that help analyze the main causes of productivity loss (operating states, production downtime, speed variation, rejected parts, etc.).
This precise calculation method was established by a panel of industry professionals and is formalized in the AFNOR standard NFE 60-182.
Keyprod relies on this standard to build the various performance indicators available in the platform.
The OEE
To calculate Overall Equipment Effectiveness (OEE), divide the VA Operating Time (VAOT) by the Total Required Time (TR):
OEE = Total production time of conforming parts / Total theoretical production time
Or: OEE = VAOT / TR
To determine these values, OEE is broken down into three key ratios:
- Availability Ratio: it measures productivity losses due to unplanned downtime (breakdowns, waiting, changeovers, etc.). The higher the availability, the more time the machine is ready to produce.
- Performance Ratio: it measures losses caused by speed variations (under-speed or over-speed) and micro-stops. A machine running below optimal speed or experiencing frequent micro-stoppages will show lower performance.
- Quality Ratio: it measures the loss of productivity due to non-conforming parts. It reflects the ratio of good parts produced without rework or rejection.
Since each of these three ratios ranges from 0% to 100%, OEE is the result of their multiplication.
OEE = Availability Ratio × Performance Ratio × Quality Ration (OEE = VA Operating Time/Required Time) |
The closer OEE gets to 100%, the better the production performance. But OEE values can vary widely depending on the organization, sector, and production context :
- For a company producing complex parts from hard materials with many in-process quality checks, an OEE of 50% may already be excellent.
- In high-speed, lean-flow manufacturing, the target is often to stay above 95%.
Because the Platform is built for your specific use, performance objectives for each machine can be defined directly in the Machine settings of the Plateform. OEE will then be displayed according to the parameters you've configured.
Overall Operational Efficiency (OOE) and Total Effective Equipment Performance (TEEP)
OOE is similar to OEE but is more stringent because it takes unscheduled time into account, looking at Total Operations Time as the maximum. This indicator is based on the plant's operating time rather than the required time. It measures the ratio between useful time and the operating time of your plant (i.e., the accessibility to your production workshop).
OOE = OEE x Availability ratio (OOE = Actual Production Time / Operating Time) |
OOE considers both scheduled and unscheduled times, providing a comprehensive view of operational efficiency.
TEEP is used to determine the production time of conforming parts relative to the total production time. This helps better understand your profitability and allows for necessary adjustments. TEEP considers the maximum time to be All Available Time, which is 24 hours a day, 365 days a year.
TEEP = OOE x Capacity Utilization (TEEP = Actual Production Time / All Available Time) |
TEEP measures the effectiveness of equipment on an absolute scale, showing what is truly possible if equipment were to operate non-stop.
Downtime causes and their effects on the KPIs
Even though the definition of a “good” OEE varies by industry or production type, it can always be improved—as long as it is analyzed. And for that, you need reliable data! With Keyprod’s devices, essential information is automatically collected. The rest depends on the categorization of downtimes, done by users directly in the platform. The better the downtimes are categorized, the more accurate your indicators will be!
The platform let you setup easily the major downtime causes you observe or wish to monitor, within 2 (or 4) categories :
- Planned downtimes, affecting the Capacity Utilization (CU) and the OOE.
-
Unplanned downtimes, affecting the Availability Rate (AR) and the OEE. In order to ease categorization on the platform, we make it possible to extend the subcategories of the unplanned stops :
- Breakdown
- Settings and Adjustments
- Unplanned stops
Minor Stops within the Platform
At Keyprod, due to the specificity of our devices which detect even very short stoppages, minor stops are categorized as Production Rate Gap. As a result, the Availability Ratio displayed on screen does not include micro-stoppages. However, Keyprod allows you to follow the Production Rate indicator which display the Availability Rate including micro-stoppages !