Despite its importance in the performance of the processes, most managers do not make full use of these key performance indicators KPIs in their control activities. Find out in the next few lines the differences between these two metrics and how they can be used to improve the efficiency of the processes in your company. These lapses of time can be calculated by using a formula. That is, it is the time spent during the intervention in a given process.

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Failure rate per hour would be 0. Hence the system is more stable!! It can be calculated by deducting the start of Uptime after the last failure from the start of Downtime after the last failure. Simply it can be said the productive operational hours of a system without considering the failure duration. It is the number of failures occurred in a system.

It is very important in Hardware product Industries rather than consumers. It is simply the number of failures occurring per hour. Consumers mostly go with a price-driven approach hence do not mind much about MTBF. When it comes to industries, based on MTBF values only systems with different designs are compared.

This value tells about Reliability, stability, and performance of a system. How often it gets a failure and how productive it is. Low MTBF always denotes that the system is not stable and not much operational. And for critical products such as Airplanes, safety equipment assets, inverters, generators, etc. In this case, MTBF is the indicator of Performance expected from a specific system and also a metric for reliability and acts as a tool at the stage of design and production of hardware.

This metric is simply known as average life expectancy. This says how often a product to be maintained to avoid breakdowns. An also MTBF is a current status indicator of performance in plant maintenance as a preventive maintenance schedule.


MTBF Calculator

In view of this, look like calculating the MTBF every month seems ok for trending purposes and comparing with the same industrial data published by others. I am sorry I cannot give you a straight answer in what norms are concerned. This is why you should use a time frame and not a period as long as possible to calcl an indicator, unless it corresponds to the very minimum time span to accommodate a few events to be statistically significant. It is the first thing to fail usually. By doing this, you attribute more importance weight to more recent events and less importance weight to older ones. What is EAM software?



Usually people think of it as the average time that something works until it fails and needs to be repaired again. As reliable production processes are crucial in a Lean Manufacturing environment, MTBF is vital for all lean initiatives "Mean Time To Repair" is the average time that it takes to repair something after a failure. In other words, the mean time between failures is the time from one failure to another. This distinction is important if the repair time is a significant fraction of MTTF.

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