{"id":78754,"date":"2026-03-06T11:27:55","date_gmt":"2026-03-06T11:27:55","guid":{"rendered":"https:\/\/teeptrak.com\/the-6-major-oee-losses-why-most-factories-only-measure-one\/"},"modified":"2026-03-26T14:06:16","modified_gmt":"2026-03-26T14:06:16","slug":"the-6-major-oee-losses-why-most-factories-only-measure-one","status":"publish","type":"post","link":"https:\/\/teeptrak.com\/en\/the-6-major-oee-losses-why-most-factories-only-measure-one\/","title":{"rendered":"The 6 Major OEE Losses: Why Most Factories Only Measure One"},"content":{"rendered":"<div class=\"et_pb_section et_pb_section_3 et_section_regular\">\n<div class=\"et_pb_row et_pb_row_9\">\n<div class=\"et_pb_column et_pb_column_4_4 et_pb_column_9 et_pb_css_mix_blend_mode_passthrough et-last-child\">\n<div class=\"et_pb_module et_pb_text et_pb_text_6 et_pb_text_align_left et_pb_bg_layout_light\">\n<div class=\"et_pb_text_inner\">\n<h3 data-pm-slice=\"1 1 []\">What Really Drains Your Equipment Performance<\/h3>\n<p>Your OEE has stalled at 65% for months. You&#8217;ve tackled major breakdowns. You&#8217;ve optimized changeovers. Yet the number won&#8217;t move. Why? Invisible OEE losses silently drain your capacity.<\/p>\n<p>Most factories reliably measure only breakdowns. The five other sources of loss\u2014consuming hours of production time weekly\u2014remain in the blind spot. The Overall Equipment Effectiveness (OEE) you calculate reflects only a fraction of reality.<\/p>\n<p>Until now.<\/p>\n<p>&nbsp;<\/p>\n<h3>\ud83c\udfac The 6 Major Losses Explained in 60 Seconds<\/h3>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"et_pb_section et_pb_section_4 et_section_regular\">\n<div class=\"et_pb_row et_pb_row_10\">\n<div class=\"et_pb_column et_pb_column_4_4 et_pb_column_10 et_pb_css_mix_blend_mode_passthrough et-last-child\">\n<div class=\"et_pb_module et_pb_video et_pb_video_3\">\n<div class=\"et_pb_video_box\"><video controls=\"controls\" width=\"300\" height=\"150\"><source type=\"video\/mp4\" src=\"https:\/\/teeptrak.com\/wp-content\/uploads\/2025\/12\/OEEs-Six-Big-Losses-1.mp4\" \/><\/video><\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"et_pb_row et_pb_row_11\">\n<div class=\"et_pb_column et_pb_column_4_4 et_pb_column_11 et_pb_css_mix_blend_mode_passthrough et-last-child\">\n<div class=\"et_pb_module et_pb_text et_pb_text_7 et_pb_text_align_left et_pb_bg_layout_light\">\n<div class=\"et_pb_text_inner\">\n<h3 data-pm-slice=\"1 1 []\">Understanding Availability, Performance, and Quality Losses<\/h3>\n<p>Every point of OEE lost belongs to one of three TRS categories. Each category contains two types of specific production losses that behave differently and require different solutions.<\/p>\n<h4>Availability Losses: When Your Equipment Stops<\/h4>\n<p>These losses halt your machines completely. They are obvious, measurable, and tracked by nearly all factories. The availability performance indicator suffers directly.<\/p>\n<p><strong><span style=\"font-size: large;\">Loss #1: Breakdowns<\/span>.<\/strong> Unplanned stoppages due to equipment failure. A motor burns out, a sensor fails, a conveyor jams. The production line stops until maintenance intervenes. These events generate tickets, trigger alarms, appear in every report.<\/p>\n<p><strong>Loss #2: Setup and Changeovers<\/strong>. Time spent between production runs. Tool changes, adjustments, calibrations, material loading. In high-mix environments, this loss can consume 15\u201320% of available time and significantly impact production costs.<\/p>\n<p>Most factories measure these two losses correctly through their management system. The problem is what comes next.<\/p>\n<h4>Speed and Performance Losses: The Silent Killers<\/h4>\n<p>These losses keep your machines running\u2014but not at full capacity. They trigger no alarms. They generate no tickets. They simply drain equipment productivity minute after minute. The performance score collapses without anyone noticing.<\/p>\n<p><strong>Loss #3: Micro-Stops<\/strong>. Brief interruptions lasting less than five minutes in the production process. A part jams. An operator clears a minor jam. The machine pauses for a sensor reset. Each stop seems trivial. Together, they can steal 60\u201390 minutes per shift\u2014a significant waste.<\/p>\n<p><strong>Loss #4: Speed Losses<\/strong>. Equipment running below nominal cycle time. The machine operates, products advance, but everything moves 5%, 10%, or 15% slower than the original design intended. Without real-time cycle monitoring, this loss remains completely hidden.<\/p>\n<p>These performance losses represent the biggest improvement potential\u2014and exactly where most factories have zero visibility.<\/p>\n<h4>Quality Losses: Costly Defects and Scrap<\/h4>\n<p>These losses produce non-conforming outputs. Wasted material, lost time, squandered capacity. Quality defects directly impact the number of conforming products leaving the line.<\/p>\n<p><strong>Loss #5: Startup Losses<\/strong>. Defective products during the warm-up phase after changeovers or restarts. Until the production process stabilizes, quality suffers and scrap accumulates.<\/p>\n<p><strong>Loss #6: Production Defects<\/strong>. Parts rejected during stable manufacturing operations. Whether detected immediately or discovered downstream, each defect represents pure loss that affects company competitiveness.<\/p>\n<h3>Calculation Example: The OEE Formula and Its Limitations<\/h3>\n<p>Consider a factory with the following data on a production line:<\/p>\n<p><strong>OEE Calculation Formula:<\/strong> Availability \u00d7 Performance \u00d7 Quality<\/p>\n<p>For example:<\/p>\n<ul>\n<li>Availability: 90% (breakdowns and changeovers measured)<\/li>\n<li>Performance: 95% (estimate, due to lack of precise data)<\/li>\n<li>Quality: 98% (based on final inspection)<\/li>\n<\/ul>\n<p><strong>Reported Result: 83.8% OEE<\/strong><\/p>\n<p>The problem? That 95% performance figure is often an estimate. Without real-time data collection, it&#8217;s impossible to know the true impact of micro-stops and speed losses. Measurement precision isn&#8217;t achieved.<\/p>\n<p>A Pareto analysis of true loss causes typically reveals that performance losses represent 40\u201350% of the improvement potential in areas completely ignored by most traditional tracking systems.<\/p>\n<h3>The Real Problem: Incomplete Data Collection<\/h3>\n<p>Here&#8217;s what happens in most factories:<\/p>\n<p>Breakdowns get logged because they&#8217;re impossible to ignore. The machine stops. Someone notices. A ticket is created in the system.<\/p>\n<p>But micro-stops? They resolve before anyone thinks to record them. The operator clears a jam in 30 seconds and continues working. No log, no data, no visibility. Data security isn&#8217;t even the issue\u2014the complete absence of capture is the problem.<\/p>\n<p>Speed losses? The machine appears normal. Green lights, steady production. No one realizes it&#8217;s running 12% below nominal pace.<\/p>\n<p>Startup losses? They&#8217;re counted at shift end, buried in a global quality percentage, disconnected from root causes. Sound decision-making becomes impossible without reliable data.<\/p>\n<p>The result: factories analyze their &#8220;OEE data&#8221; and focus exclusively on reducing breakdowns. Meanwhile, performance and quality losses continue unmonitored\u2014often representing 60\u201370% of total capacity loss.<\/p>\n<p>You can&#8217;t improve what you can&#8217;t see.<\/p>\n<h3>Optimization and Improvement: How TeepTrak Makes All Six Losses Visible<\/h3>\n<p>The path to better OEE isn&#8217;t through greater effort on breakdowns. It&#8217;s through implementing tools that track all six losses.<\/p>\n<p>TeepTrak provides real-time visibility into each loss category for rapid continuous improvement deployment:<\/p>\n<p><strong>Automatic Detection<\/strong>. No manual entry, no memory-based reporting. Every stop\u2014including micro-stops under 30 seconds\u2014is captured automatically. Every cycle time deviation is flagged. Every quality event is logged in context. Equipment performance becomes transparent.<\/p>\n<p><strong>Operator Visibility<\/strong>. The people closest to the equipment see exactly what&#8217;s happening. A micro-stop appears on screen immediately. A pace deviation triggers a visual alert. Problems are addressed in real time, not discovered in tomorrow&#8217;s report. Team training on these tracking tools takes just hours.<\/p>\n<p><strong>Manager Insights<\/strong>. Performance leaks become visible across all lines. Root causes emerge from real data. Priorities become obvious\u2014no more guessing where to focus improvement efforts.<\/p>\n<p><strong>Compatible with All Equipment<\/strong>. TeepTrak installs in hours, not months. Plug-and-play connectivity works with equipment of any age, any brand. No complex IT projects, no production disruption.<\/p>\n<h3>Case Studies: Concrete OEE Improvement Results<\/h3>\n<p>Factories using TeepTrak regularly discover losses they didn&#8217;t know existed. Here are three concrete examples.<\/p>\n<p><strong>Packaging Example: Micro-Stops Revealed<\/strong>. A packaging manufacturer discovered that micro-stops consumed 90 minutes per shift on its main line. These stops never appeared in any report. With real-time visibility, operators identified root causes\u2014mostly sensor positioning issues\u2014and reduced micro-stops by 60% in three months.<\/p>\n<p><strong>Electronics Example: Speed Losses Identified<\/strong>. An electronics producer discovered its highest-volume line ran 8% below nominal cycle time. Machines appeared normal. Operators thought everything was fine. But the data showed consistent underperformance. Addressing this single speed loss added the equivalent of an extra shift of capacity per week.<\/p>\n<p><strong>Food &amp; Beverage Example: Startup Losses Corrected<\/strong>. A food &amp; beverage factory identified that startup scrap exploded after a specific type of changeover. The pattern was invisible in their shift-end quality reports. With real-time data, they modified the startup procedure and reduced scrap by 40%.<\/p>\n<p>None of these improvements required new equipment. None required additional staff. They required visibility.<\/p>\n<h3>Stop Tracking One Loss, Start Seeing Six<\/h3>\n<p>Your OEE improvement potential isn&#8217;t limited by your equipment or your team.<\/p>\n<p>It&#8217;s limited by what you can see.<\/p>\n<p>The six major losses exist in every factory. Right now, on your lines, micro-stops are accumulating. Speed losses are draining capacity. Quality events are occurring without clear root cause data.<\/p>\n<p>The question isn&#8217;t whether these losses exist. The question is whether you&#8217;re measuring them.<\/p>\n<p>Once you see all six losses, you can finally improve all six.<\/p>\n<p><strong>\u2192 Make Your Invisible Losses Visible: <\/strong><a class=\"underline\" href=\"https:\/\/teeptrak.com\/demo\" target=\"_blank\" rel=\"noopener noreferrer\"><strong>teeptrak.com\/demo<\/strong><\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>What really drains your equipment performance. Your OEE has stalled at 65% for months. You&#8217;ve tackled major breakdowns. You&#8217;ve optimized changeovers. Yet the number won&#8217;t move. The reason? Invisible OEE losses silently drain your capacity. Most factories reliably measure only breakdowns. The five other sources of loss\u2014consuming hours of production time weekly\u2014remain in [&hellip;]<\/p>\n","protected":false},"author":384731,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","ai_seo_title":"","ai_meta_description":"","ai_focus_keyword":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-78754","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>The 6 Major OEE Losses: Why Most Factories Only Measure One - TEEPTRAK - Connect to your industrial potential<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/teeptrak.com\/en\/the-6-major-oee-losses-why-most-factories-only-measure-one\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The 6 Major OEE Losses: Why Most Factories Only Measure One - TEEPTRAK - Connect to your industrial potential\" \/>\n<meta property=\"og:description\" content=\"What really drains your equipment performance. Your OEE has stalled at 65% for months. You&#039;ve tackled major breakdowns. You&#039;ve optimized changeovers. Yet the number won&#039;t move. The reason? Invisible OEE losses silently drain your capacity. Most factories reliably measure only breakdowns. 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Your OEE has stalled at 65% for months. You've tackled major breakdowns. You've optimized changeovers. Yet the number won't move. The reason? Invisible OEE losses silently drain your capacity. Most factories reliably measure only breakdowns. 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