The most common KPI's in production with equipment
Equipment performance indicators (KPI’s – Key Performance Indicators) are metrics used to measure the efficiency and productivity of equipment in an operational process. The indicators are used to monitor the condition of equipment, optimize its maintenance and improve overall performance. Here are the most common KPI’s used in manufacturing with equipment:
OEE – Overall Equipment Efficiency is a measure of manufacturing productivity and describes the overall efficiency of equipment. It is a method of analyzing the performance of a machine or equipment compared to its theoretical maximum capacity. By measuring OEE, companies can identify their strengths, understand their losses, evaluate their progress and, ultimately, improve the production process.
It considers production losses and divides them into 3 categories:
- Availability – measures production losses related to downtime
- Performance – measures losses related to reduced “speed”
- Quality rate – measures losses due to non-conforming units
MTTR – Mean Time to Repair is used to measure the average time required to repair a faulty of equipment and bring it back into working order. It is an essential indicator in equipment maintenance that helps increase availability and reliability.
MTTR formula = Total time to repair / Total number of repairs
High MTTR may indicate problems such as: lack of spare parts, inefficient repair processes, unqualified or insufficiently qualified personnel.
MTBF – Mean Time between Failures is a reliability indicator to measure the average operating time of an equipment between two consecutive failures.
MTBF formula = Total operating time until each failure / Total number of failures
A low MTBF shows frequent failures, which may indicate a need for improvements in equipment design, inefficient maintenance processes, or improper use of equipment. A high MTBF means that the equipment is reliable and has a long service life without interruptions.
The purpose of these indicators is to help companies, by providing a better understanding of losses, reducing seemingly complex production problems into simple and accessible information, to make the right decisions to improve efficiency and reduce operating and maintenance expenses.
