In a word, both MTBF (Mean Time Between Failures) and MTTR (Mean Time To Repair) are two very important indicators when it comes to availability of an application. MTBF is used in the calculation of the Availability, which in turn is used to calculate overall equipment effectiveness (OEE): Example: Series system (most packing lines) Availability of an individual plant item (series system) Av 1 = 1 – MTTR/(MTBF + MTTR) (Where MTTR = mean time to repair = average time to return a failed component to service) The time taken to repair a piece of equipment (the MTTR) might seem like a minor element in the calculation of MTTR, but the more you can reduce MTTR, the more your MTBF will improve. . Mean time between failures (MTBF) is the arithmetic average time between failures. H�*�i����[Dsz9Tt0��� `]@����}�V bE� �1� ÿ�V�����0=`Z�8(�� s����^ ��[��(�������$���K\tx0p�qp0$1X5�����3 d4�1��g� w2;ӟu@����� L�5 infiq�jF� g5 MTBF is used to predict the probability of asset failure in a specific period or the frequency of occurrence of a certain type of failure. Mean time to recovery (MTTR) and mean time between failures (MTBF) are two useful metrics in evaluating the reliability of a system. "Mean Time To Repair" is the average time that it takes to repair something after a failure. Whereas the MTTR, or Mean Time To Repair, is the time it takes to run a repair after the occurrence of the failure. Before yo… If we let A represent availability, then the simplest formula for availability is: A = Uptime/(Uptime + Downtime) Of course, it's more interesting when you start looking at the things that influence uptime and downtime. The Secret to Reducing MTTR and Increasing MTBF A primary goal for all system design is to reduce downtime—and the most efective way to do it is by designing reliable systems. You generally can’t directly change MTTF or MTBF of your hardware, but you can use quality components, best practices, and redundancy to reduce the impacts of failures and increase the MTBF of the overall service. The Secret to Reducing MTTR and Increasing MTBF Submitted on Mon, 10/19/2015 A primary goal for all system design is to reduce downtime—and the most effective way to do it is by designing reliable systems. Equipment is operational for 7884 hours (0.9 years) per year and requires 876 hours to repair, the availability is 90%. Being proactive can stop equipment issues before they even begin. Mean Time Before Failure (MTBF), Mean Time To Repair(MTTR) and Reliability Calculators Mean time between failures, mean time to repair, failure rate and reliability equations are key tools for any manufacturing engineer. The first step in improving MTTR is to measure it, as discussed above. MTTR and MTBF are key indicators that are tracked to see the failure of your asset to evaluate how reliable they are so that this information is used to further update your PM Strategy. The Secret to Reducing MTTR and Increasing MTBF, 5225 Hellyer Ave. #250, San Jose, CA 95138. Mean Time To Repair (MTTR) The methodology of Why-Why analysis, MTTR and MTBF has been used here to implement Kaizen in an industry and compare the statistics of growth comparing it before and after the implementation of Kaizen. This is critical in remote areas, where maintenance and repair contractors may not be able to access the equipment easily or regularly. I’ve said it before and I’ll say it again – “ALWAYS MAKE IT … MTBF, or Mean Time Between Failures, is a metric that concerns the average time elapsed between a failure and the next time it occurs. You may not have a team of people in-house who thoroughly understand the complexities of this level of intelligent design, but experts can be found to assist you. Mean Time to Repair (MTTR) is an important failure metric that measures the time it takes to troubleshoot and fix failed equipment or systems. → By implementing small Kaizen activity for the equipment. Paradoxically, it's also one of the most misunderstood metrics; many developers and operations teams lack a clear vision for how to define MTTR, how to use it, and how to improve it in a consistent and sustainable way. MTBF and failure rate It is often helpful to convert to a metric that is measured in units rather than time. 141 0 obj <> endobj The higher the MTBF, the more reliable the asset. 175 0 obj <>/Filter/FlateDecode/ID[<7B241366715745478AED9493ADA35791>]/Index[141 83]/Info 140 0 R/Length 148/Prev 204189/Root 142 0 R/Size 224/Type/XRef/W[1 3 1]>>stream It indicates the performance of an industry – how well it is working, with which we can improve the quality of work. The team will have to determine if this is acceptable. Keep in mind that this isn’t a linear measure. MTBF means Mean Time Between Failures, and it is the average time elapsed between two failures in the same asset. What that means is that a keypad with a 100,000 hour MTBF will have a one year survival reliability of 91.6% and a keypad with a 2.5M hour MTBF would have a reliability of 99.7% over the same period of time. 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