{"id":5351,"date":"2021-04-09T17:03:01","date_gmt":"2021-04-09T17:03:01","guid":{"rendered":"https:\/\/mpulsesoftware.com\/?p=5351"},"modified":"2025-07-30T06:18:15","modified_gmt":"2025-07-30T06:18:15","slug":"predictive-maintenance-challenges","status":"publish","type":"post","link":"https:\/\/mpulsesoftware.com\/blog\/cmms\/predictive-maintenance-challenges\/","title":{"rendered":"Three Reasons You Don&#8217;t Need Predictive Maintenance"},"content":{"rendered":"<p>Predictive maintenance (PdM) sounds like a maintenance manager\u2019s dream. Want to know when your equipment starts to break down and fix it before it actually fails? Sign us up.<\/p>\n<p>Predictive maintenance is gaining more attention as organizations want sensors on key assets and use the power of the <a href=\"https:\/\/mpulsesoftware.com\/blog\/maintenance-management\/what-maintenance-teams-need-to-know-about-the-internet-of-things-iot\/\">Internet of Things (IoT)<\/a> to collect the data to feed into their CMMS software. CMMS combined with IoT is an excellent way to help maintenance teams to foresee asset failure and proactively perform maintenance.<\/p>\n<p>But predictive maintenance isn\u2019t for everyone. Here are three predictive maintenance challenges to consider before you make the move.<\/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\/cmms\/predictive-maintenance-challenges\/#Top_Obstacles_to_Overcome_when_Implementing_Predictive_Maintenance\" >Top Obstacles to Overcome when Implementing Predictive Maintenance<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/mpulsesoftware.com\/blog\/cmms\/predictive-maintenance-challenges\/#Expense_and_ROI\" >Expense and ROI<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/mpulsesoftware.com\/blog\/cmms\/predictive-maintenance-challenges\/#Technical_Knowledge\" >Technical Knowledge<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/mpulsesoftware.com\/blog\/cmms\/predictive-maintenance-challenges\/#Time\" >Time<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Top_Obstacles_to_Overcome_when_Implementing_Predictive_Maintenance\"><\/span>Top Obstacles to Overcome when Implementing Predictive Maintenance<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"Expense_and_ROI\"><\/span>Expense and ROI<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>One of the biggest problems with <a href=\"https:\/\/mpulsesoftware.com\/blog\/cmms\/five-signs-your-company-is-ready-for-predictive-maintenance\/\">predictive maintenance<\/a>\u2014and the top obstacle to implementing it\u2014is the cost. Predictive maintenance requires a combination of gauges, meters, or other measurement techniques like infrared thermography, vibration analysis, or lubrication analysis. Plus, you need to store the data in CMMS. All those things cost money.<\/p>\n<p>Like any business investment, you need to calculate the return on investment (ROI) to determine if the cost will pay off in the long run.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Technical_Knowledge\"><\/span>Technical Knowledge<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>When real-time data is added to the CMMS software, either remotely or manually, its true potential is realized. But that requires some technical knowledge to use it correctly.<\/p>\n<p>With <a href=\"https:\/\/mpulsesoftware.com\/software\/what-is-cmms\/\">CMMS softwar<\/a>e, you can capture, store, and organize data for reports and predictive analytical tools. You\u2019ll get alarms and alerts for current conditions that indicate future problems, enabling you to take action before the equipment breaks. Additionally, the real-time data is logged in the CMMS system with the rest of the maintenance data, putting it in context, and giving you much more powerful information about your assets.<\/p>\n<p>This information increases in value over time because prior failure patterns can predict future failure patterns. But all the data in the world doesn\u2019t do you any good if you don\u2019t, or can\u2019t, make it work for you.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Time\"><\/span>Time<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>If there\u2019s one thing that\u2019s in short supply around the maintenance department, it\u2019s time. Implementing predictive maintenance requires time to research solutions, convince management, overcome concerns and obstacles, buy equipment, set it up, test it, train employees, and much more. Again, if the ROI doesn\u2019t pencil out, predictive maintenance isn\u2019t for you.<\/p>\n<p>Are any of these problems with predictive maintenance preventing you from moving forward? That\u2019s okay. A solid <a href=\"https:\/\/mpulsesoftware.com\/software\/features\/preventive-maintenance\/\">preventive maintenance<\/a> program may be enough for you.<\/p>\n<p>If these don\u2019t apply, however, learn more about how MPulse can help you. <a href=\"https:\/\/mpulsesoftware.com\/contact\/\">Contact us<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Predictive maintenance (PdM) sounds like a maintenance manager\u2019s dream. Want to know when your equipment starts to break down and fix it before it actually fails? Sign us up. Predictive maintenance is gaining more attention as organizations want sensors on key assets and use the power of the Internet of Things (IoT) to collect the data to feed into their CMMS software. CMMS combined with IoT is an excellent way to help maintenance teams to foresee asset failure and proactively perform maintenance. But predictive maintenance isn\u2019t for everyone. Here are three predictive maintenance challenges to consider before you make the move. Top Obstacles to Overcome when Implementing Predictive Maintenance Expense and ROI One of the biggest problems with predictive maintenance\u2014and the top obstacle to implementing it\u2014is the cost. Predictive maintenance requires a combination of gauges, meters, or other measurement techniques like infrared thermography, vibration analysis, or lubrication analysis. Plus, you need to store the data in CMMS. All those things cost money. Like any business investment, you need to calculate the return on investment (ROI) to determine if the cost will pay off in the long run. Technical Knowledge When real-time data is added to the CMMS software, either remotely or manually, its true potential is realized. But that requires some technical knowledge to use it correctly. With CMMS software, you can capture, store, and organize data for reports and predictive analytical tools. You\u2019ll get alarms and alerts for current conditions that indicate future problems, enabling you to take action before the equipment breaks. Additionally, the real-time data is logged in the CMMS system with the rest of the maintenance data, putting it in context, and giving you much more powerful information about your assets. This information increases in value over time because prior failure patterns can predict future failure patterns. But all the data in the world doesn\u2019t do you any good if you don\u2019t, or can\u2019t, make it work for you. Time If there\u2019s one thing that\u2019s in short supply around the maintenance department, it\u2019s time. Implementing predictive maintenance requires time to research solutions, convince management, overcome concerns and obstacles, buy equipment, set it up, test it, train employees, and much more. Again, if the ROI doesn\u2019t pencil out, predictive maintenance isn\u2019t for you. Are any of these problems with predictive maintenance preventing you from moving forward? That\u2019s okay. A solid preventive maintenance program may be enough for you. If these don\u2019t apply, however, learn more about how MPulse can help you. Contact us.<\/p>\n","protected":false},"author":6,"featured_media":5352,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[12,13],"tags":[],"class_list":["post-5351","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cmms","category-maintenance-management"],"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>Three Reasons You Don&#039;t Need Predictive Maintenance<\/title>\n<meta name=\"description\" content=\"Predictive maintenance isn\u2019t for everyone. Here are three predictive maintenance challenges to consider before you make the move.\" \/>\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\/cmms\/predictive-maintenance-challenges\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Three Reasons You Don&#039;t Need Predictive Maintenance\" \/>\n<meta property=\"og:description\" content=\"Predictive maintenance isn\u2019t for everyone. 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