{"id":2537,"date":"2019-04-11T18:00:00","date_gmt":"2019-04-11T18:00:00","guid":{"rendered":"https:\/\/mpulse.cloud.fruitionqa.com\/mean-time-between-failures-mtbf-maintenance\/"},"modified":"2025-07-30T06:20:48","modified_gmt":"2025-07-30T06:20:48","slug":"mean-time-between-failures","status":"publish","type":"post","link":"https:\/\/mpulsesoftware.com\/blog\/manufacturing\/mean-time-between-failures\/","title":{"rendered":"What Mean Time Between Failures Means for Your Maintenance Team"},"content":{"rendered":"<p>The most valuable part of CMMS software is all the great information you get out of it. Mean time between failures (MTBF) is a common metric that\u2019s very useful for managing maintenance operations.<\/p>\n<p>MTBF predicts the elapsed time between failures of an asset based on normal operation. In this case, \u201cfailure\u201d is used to describe when the equipment is out of service and in an unrepaired condition.<\/p>\n<p>MTBF is predicting uptime for the equipment. Your organization can use this metric as an indicator of expected availability, as well as reliability.<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_81 counter-flat ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/mpulsesoftware.com\/blog\/manufacturing\/mean-time-between-failures\/#How_Do_You_Calculate_MTBF\" >How Do You Calculate MTBF?<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/mpulsesoftware.com\/blog\/manufacturing\/mean-time-between-failures\/#How_Does_MTBF_Help_Your_Maintenance_Team\" >How Does MTBF Help Your Maintenance Team?<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"How_Do_You_Calculate_MTBF\"><\/span>How Do You Calculate MTBF?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The higher the MTBF, the more reliable the asset should be before failing. It\u2019s calculated as the sum of start of downtime minus start of uptime, then divided by the number of failures:<\/p>\n<p>MTBF = \u2211 (Start of Downtime \u2013 Start of Uptime) \u00f7 (Number of Failures)<\/p>\n<p>Most maintenance teams measure MTBF in usage hours, but you could use mileage or similar data. MTBF doesn\u2019t include downtime for preventive maintenance tasks, and it assumes PMs can be planned for a time when the asset is not in use. It also assumes the asset is within its useful life cycle.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"How_Does_MTBF_Help_Your_Maintenance_Team\"><\/span>How Does MTBF Help Your Maintenance Team?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Most of the time maintenance managers use MTBF to project the likeliness of an asset failing during a certain period.<\/p>\n<p>Often maintenance teams can use MTBF to adjust inspections schedules or preventive maintenance tasks. For example, if the asset fails multiple times for the same reasons, you might not have found the root cause, or it\u2019s time to add some PMs to prevent such failures. Some maintenance operations factor in MTBF when determining how much to charge, based on how likely the equipment is to fail.<\/p>\n<p>As a simple example, MPulse customer Felipe uses MTBF to create asset performance benchmarks. If his CMMS data shows a belt is likely to fail after 700 hours of usage, he sets up a new PM schedule where the belt is replaced before that time, such as around 650 hours of usage.<\/p>\n<p>MTBF is a good of example of how maintenance teams can use CMMS data to prevent failures before they happen.<\/p>\n<p>If you\u2019re not using MTBF as a metric to measure your maintenance operations, <a href=\"https:\/\/mpulsesoftware.com\/contact\/\">contact us<\/a> to learn how it can help your organization. We\u2019re here to help.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The most valuable part of CMMS software is all the great information you get out of it. Mean time between failures (MTBF) is a common metric that\u2019s very useful for managing maintenance operations. MTBF predicts the elapsed time between failures of an asset based on normal operation. In this case, \u201cfailure\u201d is used to describe when the equipment is out of service and in an unrepaired condition. MTBF is predicting uptime for the equipment. Your organization can use this metric as an indicator of expected availability, as well as reliability. How Do You Calculate MTBF? The higher the MTBF, the more reliable the asset should be before failing. It\u2019s calculated as the sum of start of downtime minus start of uptime, then divided by the number of failures: MTBF = \u2211 (Start of Downtime \u2013 Start of Uptime) \u00f7 (Number of Failures) Most maintenance teams measure MTBF in usage hours, but you could use mileage or similar data. MTBF doesn\u2019t include downtime for preventive maintenance tasks, and it assumes PMs can be planned for a time when the asset is not in use. It also assumes the asset is within its useful life cycle. How Does MTBF Help Your Maintenance Team? Most of the time maintenance managers use MTBF to project the likeliness of an asset failing during a certain period. Often maintenance teams can use MTBF to adjust inspections schedules or preventive maintenance tasks. For example, if the asset fails multiple times for the same reasons, you might not have found the root cause, or it\u2019s time to add some PMs to prevent such failures. Some maintenance operations factor in MTBF when determining how much to charge, based on how likely the equipment is to fail. As a simple example, MPulse customer Felipe uses MTBF to create asset performance benchmarks. If his CMMS data shows a belt is likely to fail after 700 hours of usage, he sets up a new PM schedule where the belt is replaced before that time, such as around 650 hours of usage. MTBF is a good of example of how maintenance teams can use CMMS data to prevent failures before they happen. If you\u2019re not using MTBF as a metric to measure your maintenance operations, contact us to learn how it can help your organization. We\u2019re here to help.<\/p>\n","protected":false},"author":6,"featured_media":2538,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[14],"tags":[],"class_list":["post-2537","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-manufacturing"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.0 (Yoast SEO v27.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>What Mean Time Between Failures Means for Your Team<\/title>\n<meta name=\"description\" content=\"Learn how Mean Time Between Failures can enhance maintenance operations. Discover how this metric predicts equipment uptime and reliability.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mpulsesoftware.com\/blog\/manufacturing\/mean-time-between-failures\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What Mean Time Between Failures Means for Your Maintenance Team\" \/>\n<meta property=\"og:description\" content=\"Learn how Mean Time Between Failures can enhance maintenance operations. 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