{"id":92018,"date":"2026-05-02T07:13:46","date_gmt":"2026-05-02T07:13:46","guid":{"rendered":"https:\/\/teeptrak.com\/oee-performance-microstops-detection-2026\/"},"modified":"2026-05-02T07:13:47","modified_gmt":"2026-05-02T07:13:47","slug":"oee-performance-microstops-detection-2026","status":"publish","type":"post","link":"https:\/\/teeptrak.com\/en\/oee-performance-microstops-detection-2026\/","title":{"rendered":"OEE Performance \u2014 How to Detect Micro-Stops &#038; Speed Losses (2026)"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.27&#8243;][et_pb_row][et_pb_column type=&#8221;4_4&#8243;][et_pb_text]<\/p>\n<h1>OEE Performance \u2014 How to Detect Micro-Stops and Speed Losses<\/h1>\n<div style=\"background:#FAF8F5;border-left:4px solid #EB352C;padding:20px;margin:20px 0;\">\n<p style=\"margin:0 0 8px 0;\"><strong>TL;DR<\/strong><\/p>\n<p style=\"margin:0;\">Performance is the second OEE pillar, measuring actual cycle speed vs ideal speed. It captures two distinct loss types: speed losses (sustained underspeed) and micro-stops under 5 minutes. Performance is the largest hidden source of OEE loss because manual tracking misses both. Plants deploying real-time monitoring typically discover 5-15 Performance points they did not know they were losing.<\/p>\n<\/div>\n<div style=\"background:#fff;border:1px solid #E5E5E5;padding:16px;margin:16px 0;border-radius:4px;\">\n<p style=\"margin:0;font-size:18px;line-height:1.5;\"><strong>Performance is the second OEE pillar, calculated as (Total Count \u00d7 Ideal Cycle Time) divided by Run Time, capturing both slow cycles and brief stoppages under 5 minutes.<\/strong><\/p>\n<\/div>\n<p><strong>Performance is the second OEE pillar, measuring the ratio of actual cycle speed vs ideal cycle speed during run time.<\/strong><\/p>\n<p>Performance captures two distinct loss types \u2014 speed losses and micro-stops \u2014 that look identical in the numbers but require very different countermeasures. <strong>Real-time monitoring is the only way to distinguish them.<\/strong><\/p>\n<h2>Performance definition (1-sentence)<\/h2>\n<p><strong>Performance = (Total Count \u00d7 Ideal Cycle Time) \u00f7 Run Time, expressed as a percentage.<\/strong><\/p>\n<p>Equivalent: Performance = Actual Speed \u00f7 Ideal Speed. If ideal is 50 parts\/min and actual is 45, Performance = 90%.<\/p>\n<h2>Speed losses vs micro-stops (the critical distinction)<\/h2>\n<p><strong>Speed losses<\/strong> = equipment runs continuously but at less than ideal speed. Causes: worn equipment, bad input materials, operator preference for &#8220;comfortable&#8221; speed.<\/p>\n<p><strong>Micro-stops<\/strong> = brief stoppages under 5 minutes. Equipment is not running but operators don&#8217;t record it. Causes: jams, sensor faults, brief operator interventions.<\/p>\n<p>Both look identical in Performance numbers. Speed losses require equipment\/material fixes; micro-stops require sensor-based detection + Pareto on causes.<\/p>\n<h2>Why Performance losses are typically invisible<\/h2>\n<p><strong>Three reasons Performance is the largest hidden source of OEE loss:<\/strong><\/p>\n<ol>\n<li><strong>Operators can&#8217;t track stops under 5 minutes<\/strong> \u2014 too brief to write on a paper log<\/li>\n<li><strong>PLC systems miss speed losses below 10% of ideal<\/strong> \u2014 they flag speed below threshold, not slow drift<\/li>\n<li><strong>End-of-shift reporting averages out moment-to-moment variations<\/strong> \u2014 losing the signal in the noise<\/li>\n<\/ol>\n<p>Plants deploying direct-sensor IoT monitoring typically reveal 5-15 Performance points they did not know they were losing.<\/p>\n<h2>Step 1 \u2014 Calibrate ideal cycle time correctly<\/h2>\n<p><strong>Performance accuracy depends entirely on getting ideal cycle time right.<\/strong><\/p>\n<p>Use the actual demonstrated best cycle, sustained for at least 1 hour, on your specific products. Common errors:<\/p>\n<ul>\n<li>Using nameplate (5-15% conservative)<\/li>\n<li>Using historical average (bakes in slowness)<\/li>\n<li>Using best-ever single cycle (might be a fluke)<\/li>\n<\/ul>\n<p>Right value: top 10% of cycles maintained for 1+ hour (&#8220;P10 sustained&#8221;). See <a href=\"\/en\/ideal-cycle-time-empirical-calibration-2026\/\">ideal cycle time empirical calibration guide<\/a>.<\/p>\n<h2>Step 2 \u2014 Detect micro-stops automatically<\/h2>\n<p><strong>Only IoT-based monitoring can detect stops under 5 minutes reliably.<\/strong><\/p>\n<p>Sensor methods:<\/p>\n<ul>\n<li><strong>Current clamps<\/strong> on motor drives (detect motor stop)<\/li>\n<li><strong>Photoelectric sensors<\/strong> at part outputs (detect missing parts)<\/li>\n<li><strong>Vibration sensors<\/strong> on critical equipment (detect state changes)<\/li>\n<\/ul>\n<p>All three install without PLC modifications and capture state changes with sub-second latency.<\/p>\n<h2>5 tactics to improve Performance (ranked)<\/h2>\n<ol>\n<li><strong>Recalibrate ideal cycle time<\/strong> \u2014 most plants have wrong values; recalibration reveals 5-15% Performance loss<\/li>\n<li><strong>Real-time micro-stop detection<\/strong> \u2014 discovers 30-50% more downtime than thought existed<\/li>\n<li><strong>Speed deviation alerts<\/strong> \u2014 push to operators when cycle exceeds threshold; +3 to +5 points in 90 days<\/li>\n<li><strong>Top 3 micro-stop Pareto<\/strong> \u2014 biggest causes are usually fixable (sensor calibration, jam-prevention)<\/li>\n<li><strong>Operator-facing dashboards<\/strong> \u2014 operators self-correct when they see deviations live<\/li>\n<\/ol>\n<p>Plants implementing all 5 tactics typically gain +5 to +8 Performance points within 90 days.<\/p>\n<h2>Watch: How TeepTrak Customers Transform OEE<\/h2>\n<div style=\"position:relative;padding-bottom:56.25%;height:0;overflow:hidden;margin:24px 0;\"><iframe src=\"https:\/\/www.youtube.com\/embed\/JkiypK2Lcxo\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;border:0;\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen title=\"TEEPTRAK Platform Demo\"><\/iframe><\/div>\n<div style=\"background:#232120;color:#FAF8F5;padding:24px;margin:24px 0;border-radius:6px;\">\n<p style=\"margin:0 0 8px 0;font-size:14px;color:#EB352C;\"><strong>CUSTOMER PROOF<\/strong><\/p>\n<p style=\"margin:0;font-size:18px;line-height:1.4;\"><strong>Hutchinson<\/strong> \u2014 42% to 75% OEE across 40 lines in 12 countries<\/p>\n<\/div>\n<h2>Related guides<\/h2>\n<ul>\n<li><a href=\"https:\/\/teeptrak.com\/en\/oee-explained-2026-mid-market-guide\/\">Oee Explained  Mid Market Guide<\/a><\/li>\n<li><a href=\"https:\/\/teeptrak.com\/en\/oee-availability-improvement-tactics-2026\/\">Oee Availability Improvement Tactics<\/a><\/li>\n<li><a href=\"\/en\/oee-quality-fpy-tracking-methodology-2026\/\">Oee Quality Fpy Tracking Methodology<\/a><\/li>\n<li><a href=\"\/en\/ideal-cycle-time-empirical-calibration-2026\/\">Ideal Cycle Time Empirical Calibration<\/a><\/li>\n<li><a href=\"https:\/\/teeptrak.com\/en\/six-big-losses-pareto-analysis-in-2026\/\">Six Big Losses Pareto Analysis<\/a><\/li>\n<\/ul>\n<div style=\"background:#fff5f5;border:2px dashed #EB352C;border-radius:8px;padding:28px;margin:32px 0;text-align:center;\">\n<div style=\"font-size:18px;font-weight:bold;color:#232120;margin-bottom:8px;\">Free practical resource<\/div>\n<div style=\"font-size:14px;color:#555;margin-bottom:20px;\">Built by TeepTrak&#8217;s manufacturing experts. Used by 1,000+ plant managers.<\/div>\n    <div class=\"teeptrak-form-container \">\n        <h3 class=\"teeptrak-form-title\">Download the white paper<\/h3>        <p class=\"teeptrak-form-subtitle\">Enter your email address to receive our White Paper<\/p>        \n        <form id=\"teeptrak-69f5e31a60e46\" class=\"teeptrak-form\" data-form-type=\"livre_blanc\">\n            <div style=\"position:absolute;left:-9999px;\"><input type=\"text\" name=\"website_url\" value=\"\" tabindex=\"-1\"><input type=\"text\" name=\"fax_number\" value=\"\" tabindex=\"-1\"><\/div>            \n            <div class=\"teeptrak-form-row\">                <div class=\"teeptrak-form-field\">\n                    <label>White paper <span class=\"required\">*<\/span><\/label>                    \n                                            <select name=\"livre_blanc\" required>\n                                                            <option value=\"\">Select a white paper<\/option>\n                                                            <option value=\"OEE-TRS\">OEE-TRS<\/option>\n                                                    <\/select>\n                                    <\/div>\n            <\/div><div class=\"teeptrak-form-row teeptrak-form-row-half\">                <div class=\"teeptrak-form-field\">\n                    <label>First name <span class=\"required\">*<\/span><\/label>                    \n                                            <input type=\"text\" name=\"first_name\" required placeholder=\"\">\n                                    <\/div>\n                            <div class=\"teeptrak-form-field\">\n                    <label>Name<\/label>                    \n                                            <input type=\"text\" name=\"last_name\"  placeholder=\"\">\n                                    <\/div>\n            <\/div><div class=\"teeptrak-form-row\">                <div class=\"teeptrak-form-field\">\n                    <label>E-mail <span class=\"required\">*<\/span><\/label>                    \n                                            <input type=\"email\" name=\"email\" required placeholder=\"\">\n                                    <\/div>\n            <\/div><div class=\"teeptrak-form-row\">                <div class=\"teeptrak-form-field\">\n                    <label>Business<\/label>                    \n                                            <input type=\"text\" name=\"company\"  placeholder=\"\">\n                                    <\/div>\n            <\/div>            \n            <input type=\"hidden\" name=\"page_url\" value=\"https:\/\/teeptrak.com\/en\/oee-performance-microstops-detection-2026\/\">\n            <input type=\"hidden\" name=\"recaptcha_token\" value=\"\" class=\"teeptrak-recaptcha-token\">\n            \n                        \n            <div class=\"teeptrak-form-row\">\n                <button type=\"submit\" class=\"teeptrak-submit teeptrak-submit-full\">\n                    <span class=\"teeptrak-submit-text\">Receive the White Paper<\/span>\n                    <span class=\"teeptrak-submit-loading\" style=\"display:none;\">Envoi...<\/span>\n                <\/button>\n            <\/div>\n            \n            <div class=\"teeptrak-form-message\" style=\"display:none;\"><\/div>\n        <\/form>\n    <\/div>\n    <\/div>\n<h2>Frequently Asked Questions<\/h2>\n<h3>What is Performance in OEE?<\/h3>\n<p>Performance is the second OEE pillar. Formula: Performance = (Total Count \u00d7 Ideal Cycle Time) \/ Run Time. World-class is 88-92% for discrete manufacturing.<\/p>\n<h3>What is a micro-stop?<\/h3>\n<p>A micro-stop is a brief stoppage under 5 minutes \u2014 too short for operators to record. Examples: jams, sensor faults, brief interventions. Micro-stops are 3-5x more frequent than breakdowns but invisible without IoT-based monitoring.<\/p>\n<h3>What causes Performance losses?<\/h3>\n<p>Two sources: speed losses (equipment running below ideal cycle time) and micro-stops under 5 minutes. Together they represent the largest hidden source of OEE loss in plants without real-time monitoring.<\/p>\n<h3>Why is Performance the largest hidden OEE loss?<\/h3>\n<p>Operators can&#8217;t reliably track stops under 5 minutes or speed deviations. PLC systems miss speed losses below 10% of ideal. Plants deploying real-time monitoring typically discover 5-15 Performance points they did not know they were losing.<\/p>\n<h3>How do I detect micro-stops?<\/h3>\n<p>Only IoT-based monitoring detects stops under 5 minutes reliably. Sensor methods: current clamps on motor drives, photoelectric sensors at part outputs, vibration sensors. All install without PLC modifications.<\/p>\n<h3>How can I improve Performance fastest?<\/h3>\n<p>The fastest gains: (1) recalibrate ideal cycle time using demonstrated best, (2) deploy real-time micro-stop detection, (3) operator-facing live dashboards. Plants gain +5 to +8 Performance points in 90 days.<\/p>\n<div style=\"background:#232120;color:white;padding:32px;border-radius:8px;margin:32px 0;text-align:center;\">\n<div style=\"font-size:18px;font-weight:bold;margin-bottom:8px;\">Ready to measure OEE in production?<\/div>\n<div style=\"font-size:14px;color:#ddd;margin-bottom:20px;\">Real-time OEE deployment in 48 hours. ROI in 1-3 months. 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Benchmarks calibrated on 450+ deployments across 30 countries between 2018 and Q2 2026. <a href=\"https:\/\/teeptrak.com\/en\/oee-roi-calculator-2026\/\">Cite this guide<\/a>.<\/p>\n<\/div>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.27&#8243;][et_pb_row][et_pb_column type=&#8221;4_4&#8243;][et_pb_text] OEE Performance \u2014 How to Detect Micro-Stops and Speed Losses TL;DR Performance is the second OEE pillar, measuring actual cycle speed vs ideal speed. It captures two distinct loss types: speed losses (sustained underspeed) and micro-stops under 5 minutes. Performance is the largest hidden source of OEE loss because manual tracking [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":92012,"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":"OEE Performance \u2014 Micro-Stops & Speed Loss Detection | TeepTrak","ai_meta_description":"OEE Performance captures speed losses + micro-stops under 5 min. Detection methodology, typical impact, and 5 tactics to improve. Calibrated on 450+ deployments.","ai_focus_keyword":"OEE performance microstops","footnotes":""},"categories":[101],"tags":[],"class_list":["post-92018","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industrial-performance"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>OEE Performance \u2014 Micro-Stops &amp; Speed Loss Detection | TeepTrak<\/title>\n<meta name=\"description\" content=\"OEE Performance captures speed losses + micro-stops under 5 min. Detection methodology, typical impact, and 5 tactics to improve. 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