{"id":94024,"date":"2026-05-17T21:35:56","date_gmt":"2026-05-17T21:35:56","guid":{"rendered":"https:\/\/teeptrak.com\/oee-formula-step-by-step-calculator-2026\/"},"modified":"2026-05-17T21:35:58","modified_gmt":"2026-05-17T21:35:58","slug":"oee-formula-step-by-step-calculator-2026","status":"publish","type":"post","link":"https:\/\/teeptrak.com\/en\/oee-formula-step-by-step-calculator-2026\/","title":{"rendered":"OEE formula step by step + free calculator (2026): ISO 22400-2 worked examples for manufacturing"},"content":{"rendered":"<div class=\"tldr-answer\" style=\"background:#F5F8FB;border-left:4px solid #4C00FF;padding:18px 24px;margin:24px 0;\">\n<strong>TL;DR \u2014 OEE formula in 60 words<\/strong><br \/>\nThe OEE formula per ISO 22400-2:2014 has 5 steps: (1) measure Planned Production Time, (2) compute Availability = Run Time \/ PPT, (3) compute Performance = (Theoretical cycle \u00d7 Total count) \/ Run Time, (4) compute Quality = Good count \/ Total count, (5) OEE = A \u00d7 P \u00d7 Q. World-class target: 85 %. Free calculator below.\n<\/div>\n<p>The <strong>OEE formula<\/strong> is the foundation of industrial performance measurement, standardized by <em>ISO 22400-2:2014<\/em> and originally formulated by Seiichi Nakajima in his 1988 TPM framework. This step-by-step guide walks through the formula with three worked examples (discrete manufacturing, batch process, continuous flow), explains common pitfalls in factor calculation, and provides a free downloadable Excel template plus an interactive online calculator.<\/p>\n<h2>Step 1: Define Planned Production Time<\/h2>\n<p><strong>Planned Production Time (PPT)<\/strong> is the time during which the machine or line is scheduled to produce. It excludes:<\/p>\n<ul>\n<li>Scheduled breaks (lunch, meetings)<\/li>\n<li>Planned shutdowns (weekends, holidays)<\/li>\n<li>Scheduled maintenance windows<\/li>\n<\/ul>\n<p>It includes everything else \u2014 even setup time and minor stops, which are loss categories captured by other factors.<\/p>\n<p><strong>Example<\/strong>: 3 shifts \u00d7 8 hours = 1,440 minutes per day. Subtract 2 \u00d7 30 min meal breaks per shift = 180 min, plus 3 \u00d7 15 min meetings = 45 min. PPT = 1,440 &#8211; 180 &#8211; 45 = <strong>1,215 minutes per day<\/strong>.<\/p>\n<h2>Step 2: Compute Availability<\/h2>\n<p style=\"background:#F5F8FB;padding:16px;border-radius:4px;font-family:'Courier New',monospace;text-align:center;\">\n<strong>Availability = Run Time \/ Planned Production Time<\/strong>\n<\/p>\n<p><strong>Run Time<\/strong> = PPT &#8211; Downtime. Downtime includes all unplanned stops:<\/p>\n<ul>\n<li>Equipment breakdowns<\/li>\n<li>Setup and changeover<\/li>\n<li>Material wait<\/li>\n<li>Tool changes<\/li>\n<li>Cleaning and adjustments &gt; 5 minutes (otherwise classified as minor stops in Performance)<\/li>\n<\/ul>\n<p><strong>Example<\/strong>: PPT = 1,215 min, Downtime = 180 min (90 setup, 60 breakdowns, 30 material wait). Run Time = 1,035 min. <strong>Availability = 1,035 \/ 1,215 = 85.2 %<\/strong>.<\/p>\n<h2>Step 3: Compute Performance<\/h2>\n<p style=\"background:#F5F8FB;padding:16px;border-radius:4px;font-family:'Courier New',monospace;text-align:center;\">\n<strong>Performance = (Theoretical Cycle Time \u00d7 Total Count) \/ Run Time<\/strong>\n<\/p>\n<p>This factor measures speed losses \u2014 minor stops (&lt; 5 min) and reduced speed (operating below nominal).<\/p>\n<p><strong>Theoretical Cycle Time<\/strong> = the design cycle time from the manufacturer specification, or the best demonstrated cycle. Never use the average \u2014 use the best achievable.<\/p>\n<p><strong>Total Count<\/strong> = total parts produced during Run Time, including rejects (quality is captured in next step).<\/p>\n<p><strong>Example<\/strong>: Theoretical cycle = 30 sec\/part, Total count = 1,800 parts, Run Time = 1,035 min = 62,100 sec.<\/p>\n<p>Performance = (30 sec \u00d7 1,800) \/ 62,100 = 54,000 \/ 62,100 = <strong>87.0 %<\/strong><\/p>\n<p>Speed losses = 13 % (likely minor stops or reduced cycle vs theoretical).<\/p>\n<div class=\"teeptrak-cta-mid\">    <div class=\"teeptrak-form-container \">\n        <h3 class=\"teeptrak-form-title\">Request a demo<\/h3>                \n        <form id=\"teeptrak-6a26626c1b95e\" class=\"teeptrak-form\" data-form-type=\"demo_request\">\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 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 <span class=\"required\">*<\/span><\/label>                    \n                                            <input type=\"text\" name=\"last_name\" required placeholder=\"\">\n                                    <\/div>\n                            <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 class=\"teeptrak-form-field\">\n                    <label>Phone <span class=\"required\">*<\/span><\/label>                    \n                                            <input type=\"tel\" name=\"phone\" required placeholder=\"\">\n                                    <\/div>\n                            <div class=\"teeptrak-form-field\">\n                    <label>Business <span class=\"required\">*<\/span><\/label>                    \n                                            <input type=\"text\" name=\"company\" required placeholder=\"\">\n                                    <\/div>\n                            <div class=\"teeptrak-form-field\">\n                    <label>Job<\/label>                    \n                                            <input type=\"text\" name=\"job_title\"  placeholder=\"\">\n                                    <\/div>\n            <\/div><div class=\"teeptrak-form-row\">                <div class=\"teeptrak-form-field\">\n                    <label>Goals<\/label>                    \n                                            <textarea name=\"message\" rows=\"3\"  placeholder=\"\"><\/textarea>\n                                    <\/div>\n            <\/div>            \n            <input type=\"hidden\" name=\"page_url\" value=\"https:\/\/teeptrak.com\/en\/oee-formula-step-by-step-calculator-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\">To book<\/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>Step 4: Compute Quality<\/h2>\n<p style=\"background:#F5F8FB;padding:16px;border-radius:4px;font-family:'Courier New',monospace;text-align:center;\">\n<strong>Quality = Good Count \/ Total Count<\/strong>\n<\/p>\n<p><strong>Good Count<\/strong> = parts conforming to specification at first pass. Reworked parts do NOT count as &#8220;good&#8221; \u2014 only first-pass quality is captured. Rework is a hidden cost (labor + materials) tracked separately.<\/p>\n<p><strong>Example<\/strong>: Total count = 1,800, Rejects = 36 (rework + scrap), Good count = 1,764.<\/p>\n<p>Quality = 1,764 \/ 1,800 = <strong>98.0 %<\/strong><\/p>\n<h2>Step 5: Compute OEE<\/h2>\n<p style=\"background:#F5F8FB;padding:16px;border-radius:4px;font-family:'Courier New',monospace;text-align:center;font-size:18px;\">\n<strong>OEE = Availability \u00d7 Performance \u00d7 Quality<br \/>\nOEE = 85.2 % \u00d7 87.0 % \u00d7 98.0 % = 72.6 %<\/strong>\n<\/p>\n<p>This line is in the median range for discrete manufacturing (65-75 % typical) but below top quartile (78-85 %). To reach 80+ %, prioritize the largest loss category: in this example, Performance (-13 %) precedes Availability (-14.8 %) and Quality (-2 %), so SMED for setup reduction and minor stop tracking should be the first improvement projects.<\/p>\n<h2>Free OEE calculator (interactive)<\/h2>\n<div class=\"oee-calculator\" style=\"background:#F5F8FB;padding:24px;border-radius:8px;margin:24px 0;\">\n<p><strong>Inputs<\/strong><\/p>\n<p>Planned Production Time: <input type=\"number\" id=\"oee-ppt\" value=\"1215\" style=\"width:120px;\"> minutes<br \/>\nDowntime (breakdowns + setups + waits): <input type=\"number\" id=\"oee-dt\" value=\"180\" style=\"width:120px;\"> minutes<br \/>\nTheoretical Cycle Time: <input type=\"number\" id=\"oee-tct\" value=\"30\" style=\"width:120px;\"> seconds\/part<br \/>\nTotal Parts Produced: <input type=\"number\" id=\"oee-total\" value=\"1800\" style=\"width:120px;\"> parts<br \/>\nGood Parts (first-pass conforming): <input type=\"number\" id=\"oee-good\" value=\"1764\" style=\"width:120px;\"> parts<\/p>\n<p><strong>Results<\/strong><\/p>\n<p>Run Time: <span id=\"oee-rt\">1,035<\/span> min<br \/>\nAvailability: <span id=\"oee-a\">85.2 %<\/span><br \/>\nPerformance: <span id=\"oee-p\">87.0 %<\/span><br \/>\nQuality: <span id=\"oee-q\">98.0 %<\/span><\/p>\n<p style=\"font-size:24px;font-weight:bold;color:#4C00FF;\">OEE: <span id=\"oee-result\">72.6 %<\/span><\/p>\n<p style=\"margin-top:16px;\"><a href=\"\/wp-content\/uploads\/2026\/05\/teeptrak-oee-calculator-template.xlsx\" style=\"background:#4C00FF;color:white;padding:10px 20px;text-decoration:none;border-radius:4px;\">Download Excel template<\/a><\/p>\n<\/div>\n<h2>Worked example 2: batch process (food &amp; beverage)<\/h2>\n<p>A dairy line produces yogurt in 4-hour batches of 5,000 units. Over a 24-hour day:<\/p>\n<ul>\n<li>PPT: 24h &#8211; 2h (CIP + scheduled breaks) = 22h = 1,320 min<\/li>\n<li>Theoretical batch duration: 4h (240 min) \u2014 i.e., 5.5 batches possible per 22h PPT<\/li>\n<li>Actual: 5 batches completed (one batch lost to CIP fault)<\/li>\n<li>Run Time: 22h \u00d7 (5\/5.5) = 20h = 1,200 min (one batch missed)<\/li>\n<li>Total batches conforming: 5 (all passed QC)<\/li>\n<\/ul>\n<p><strong>OEE for batch<\/strong> = (Conforming batches \u00d7 Theoretical batch duration) \/ PPT<\/p>\n<p>OEE = (5 \u00d7 240 min) \/ 1,320 min = 1,200 \/ 1,320 = <strong>90.9 %<\/strong><\/p>\n<p>This is top quartile for dairy batch process. Decompose if needed:<\/p>\n<ul>\n<li>Availability = 1,200 \/ 1,320 = 90.9 % (one batch lost)<\/li>\n<li>Performance = 100 % (batches completed in 4h theoretical)<\/li>\n<li>Quality = 100 % (all batches passed)<\/li>\n<\/ul>\n<h2>Worked example 3: continuous flow (paper machine)<\/h2>\n<p>A paper machine produces kraft paper at theoretical 1,800 m\/min, 7.5 m wide, 80 g\/m\u00b2 basis weight.<\/p>\n<ul>\n<li>PPT: 24h \u00d7 7 days = 10,080 min<\/li>\n<li>Downtime: 8h breaks + maintenance + felt changes = 480 min<\/li>\n<li>Run Time: 9,600 min<\/li>\n<li>Theoretical throughput: 1,800 m\/min \u00d7 9,600 min \u00d7 7.5 m \u00d7 80 g\/m\u00b2 = 10,368 tonnes<\/li>\n<li>Actual throughput: 9,200 tonnes (sub-speed and minor stops)<\/li>\n<li>Conforming paper (after rejects): 9,016 tonnes (184 t broke)<\/li>\n<\/ul>\n<p><strong>OEE continuous<\/strong>:<\/p>\n<ul>\n<li>Availability = 9,600 \/ 10,080 = <strong>95.2 %<\/strong><\/li>\n<li>Performance = 9,200 \/ 10,368 = <strong>88.7 %<\/strong><\/li>\n<li>Quality = 9,016 \/ 9,200 = <strong>98.0 %<\/strong><\/li>\n<li>OEE = 95.2 % \u00d7 88.7 % \u00d7 98.0 % = <strong>82.7 %<\/strong><\/li>\n<\/ul>\n<p>This paper machine is in the top quartile for kraft paper (87-91 % top). Performance is the biggest gap (sub-speed \/ minor stops to investigate).<\/p>\n<h2>2026 OEE benchmarks by industry<\/h2>\n<table>\n<thead>\n<tr>\n<th>Industry<\/th>\n<th>Median 2026<\/th>\n<th>Top quartile<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Discrete manufacturing<\/td>\n<td>65-75 %<\/td>\n<td>78-85 %<\/td>\n<\/tr>\n<tr>\n<td>Automotive Tier 1 (IATF 16949)<\/td>\n<td>75-85 %<\/td>\n<td>87-92 %<\/td>\n<\/tr>\n<tr>\n<td>Aerospace (EN 9100)<\/td>\n<td>65-78 %<\/td>\n<td>82-88 %<\/td>\n<\/tr>\n<tr>\n<td>Pharma GMP (filling)<\/td>\n<td>62-72 %<\/td>\n<td>78-85 %<\/td>\n<\/tr>\n<tr>\n<td>Food &amp; beverage (IFS)<\/td>\n<td>62-78 %<\/td>\n<td>80-88 %<\/td>\n<\/tr>\n<tr>\n<td>Plastics injection<\/td>\n<td>65-78 %<\/td>\n<td>82-88 %<\/td>\n<\/tr>\n<tr>\n<td>Cosmetic semi-solid<\/td>\n<td>58-68 %<\/td>\n<td>75-82 %<\/td>\n<\/tr>\n<tr>\n<td>Steel hot rolling<\/td>\n<td>68-78 %<\/td>\n<td>83-88 %<\/td>\n<\/tr>\n<tr>\n<td>Paper machine kraft<\/td>\n<td>78-86 %<\/td>\n<td>89-93 %<\/td>\n<\/tr>\n<tr>\n<td>Semiconductor back-end<\/td>\n<td>76-84 %<\/td>\n<td>87-90 %<\/td>\n<\/tr>\n<tr>\n<td>Wood-furniture MDF press<\/td>\n<td>75-85 %<\/td>\n<td>88-92 %<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Case study: from 42 % to 75 % OEE (Hutchinson Group)<\/h2>\n<p>The <strong>Hutchinson Group multi-site deployment<\/strong> (40 manufacturing plants) raised group OEE from 42 % to 75 % over 12 months using the TPM methodology. Step-by-step transposable approach:<\/p>\n<ol>\n<li><strong>Week 1-2<\/strong>: deploy plug-and-play sensors (TeepTrak Pulse) on top 100 machines<\/li>\n<li><strong>Week 3-4<\/strong>: baseline OEE measurement + Pareto Six Big Losses per site<\/li>\n<li><strong>Week 5-8<\/strong>: SMED workshops on top loss machines (setup time -75 % typical)<\/li>\n<li><strong>Week 9-12<\/strong>: autonomous maintenance training (operator-led level 2-3)<\/li>\n<li><strong>Week 13-26<\/strong>: continuous improvement, weekly site governance, monthly group dashboard<\/li>\n<li><strong>Week 27-52<\/strong>: scale to remaining sites, group-level standardization<\/li>\n<\/ol>\n<p>Average gain: <strong>+12 to +18 points OEE in 8-12 weeks<\/strong> per pilot line. Nutriset replicated the methodology with even faster results (62 % to 80 % in 4 weeks) on Plumpy&#8217;Nut nutritional production.<\/p>\n<h2>Common OEE calculation pitfalls<\/h2>\n<ol>\n<li><strong>Wrong denominator<\/strong>: don&#8217;t use Calendar Time (that&#8217;s TEEP, not OEE). Use Planned Production Time.<\/li>\n<li><strong>Including setups in &#8220;planned time&#8221;<\/strong>: setup is a real loss (Availability), not &#8220;planned&#8221;. Don&#8217;t exclude it from the denominator.<\/li>\n<li><strong>Using average cycle time<\/strong>: use the best demonstrated or design cycle, not the average. Otherwise Performance looks artificially close to 100 %.<\/li>\n<li><strong>Counting reworked parts as good<\/strong>: only first-pass conforming parts count as Good. Rework costs labor + materials.<\/li>\n<li><strong>Comparing OEE across different cycle products<\/strong>: a line producing high-value low-volume vs low-value high-volume products will show different OEE. Use value-weighted KPIs or compare per product family.<\/li>\n<li><strong>Manual data entry<\/strong>: operator-entered OEE has 15-30 % error rate. Use automated sensors (TeepTrak Pulse) for accurate measurement.<\/li>\n<\/ol>\n<h2>FAQ: OEE formula calculation<\/h2>\n<h3>What is the simplest way to calculate OEE?<\/h3>\n<p>OEE = (Good Parts \u00d7 Theoretical Cycle Time) \/ Planned Production Time. This simplified formula gives the same result as Availability \u00d7 Performance \u00d7 Quality. Use the decomposed version to identify loss categories.<\/p>\n<h3>How do I compute OEE for a 24\/7 continuous line?<\/h3>\n<p>For 24\/7 lines, PPT = Calendar Time &#8211; planned maintenance windows. The formula remains OEE = A \u00d7 P \u00d7 Q, but interpretation shifts: Availability is usually high (95%+), while Performance becomes the dominant factor (sub-speed, minor stops).<\/p>\n<h3>Do I include planned maintenance in OEE?<\/h3>\n<p>No. Scheduled maintenance windows are excluded from Planned Production Time (and therefore from the OEE denominator). However, unplanned maintenance and breakdowns are losses captured in Availability.<\/p>\n<h3>What&#8217;s the difference between OEE and TEEP?<\/h3>\n<p>OEE uses Planned Production Time as denominator. TEEP (Total Effective Equipment Performance) uses Calendar Time (24\/7). TEEP &lt; OEE always. TEEP is for strategic capacity decisions; OEE is for tactical performance improvement.<\/p>\n<h3>Why is my Performance factor so low?<\/h3>\n<p>Most likely causes: (1) using average cycle time instead of best demonstrated (artificially low Performance), (2) minor stops not captured as downtime (incorrectly attributed to Performance), (3) reduced speed due to material\/tooling issues, (4) operator pacing below nominal.<\/p>\n<h3>How accurate is OEE with manual data entry?<\/h3>\n<p>Manual OEE measurement has 15-30% error rate (under-reported downtime, optimistic cycle times). Automated sensors (TeepTrak Pulse, Memex MERLIN, Sistema OEE) reduce error to &lt;2% and enable real-time visibility.<\/p>\n<h3>What is the ISO standard for OEE?<\/h3>\n<p>ISO 22400-2:2014 Manufacturing operations management &#8211; Part 2: Definitions and descriptions of work in process. Updated 2023 with cross-references to ISO 22400-1 (general principles). Defines OEE and 30+ manufacturing KPIs.<\/p>\n<h3>Can I download an OEE Excel template?<\/h3>\n<p>Yes, click the &#8220;Download Excel template&#8221; button above. The template includes daily\/weekly\/monthly aggregation, Six Big Losses tracking, sector benchmarks, and trend charts. Compatible with Excel 2016+ and Google Sheets.<\/p>\n<h3>What software automates OEE calculation?<\/h3>\n<p>The 2026 OEE software market includes TeepTrak (French scale-up, 450+ factories), Memex MERLIN Tempus (Canadian), Sistema OEE (German), Evocon (Estonian), FullFab (US), PTC ThingWorx (US enterprise). Choice depends on multi-site geography, machine park heterogeneity, MES integration depth.<\/p>\n<h3>How long does it take to deploy OEE measurement?<\/h3>\n<p>Plug-and-play sensor solutions (TeepTrak Pulse): under 1 week for 10 machines. PLC-integrated solutions: 4-12 weeks depending on complexity. MES-integrated solutions: 12-24 weeks.<\/p>\n<h2>Conclusion<\/h2>\n<p>The OEE formula remains the gold-standard manufacturing performance metric in 2026. Top quartile manufacturers achieve 78-92 % OEE depending on industry vertical, with proven methodologies delivering +12 to +18 points in 8-12 weeks. Use the calculator above to baseline your line, prioritize the top 3 loss categories via Pareto analysis, and deploy automated measurement to scale across multi-site operations.<\/p>\n<p><strong>Next step<\/strong>: download the Excel template, baseline 3 lines this week, and request a free TeepTrak demo to see how automated OEE measurement compares to manual.<\/p>\n<div class=\"teeptrak-cta-final\">    <div class=\"teeptrak-form-container \">\n        <h3 class=\"teeptrak-form-title\">Request a demo<\/h3>                \n        <form id=\"teeptrak-6a26626c1b9e0\" class=\"teeptrak-form\" data-form-type=\"demo_request\">\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 teeptrak-form-row-half\">                <div class=\"teeptrak-form-field\">\n                    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\"https:\/\/teeptrak.com\/oee-formula-step-by-step-calculator-2026\/\"}}<\/script><\/p>\n<p><script type=\"application\/ld+json\">{\"@context\": \"https:\/\/schema.org\", \"@type\": \"FAQPage\", \"inLanguage\": \"en-US\", \"mainEntity\": [{\"@type\": \"Question\", \"name\": \"What is the simplest way to calculate OEE?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"OEE = (Good Parts \u00d7 Theoretical Cycle Time) \/ Planned Production Time. 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However, unplanned maintenance and breakdowns are losses captured in Availability.\"}}, {\"@type\": \"Question\", \"name\": \"What's the difference between OEE and TEEP?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"OEE uses Planned Production Time as denominator. TEEP (Total Effective Equipment Performance) uses Calendar Time (24\/7). TEEP < OEE always. TEEP is for strategic capacity decisions; OEE is for tactical performance improvement.\"}}, {\"@type\": \"Question\", \"name\": \"Why is my Performance factor so low?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Most likely causes: (1) using average cycle time instead of best demonstrated (artificially low Performance), (2) minor stops not captured as downtime (incorrectly attributed to Performance), (3) reduced speed due to material\/tooling issues, (4) operator pacing below nominal.\"}}, {\"@type\": \"Question\", \"name\": \"How accurate is OEE with manual data entry?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Manual OEE measurement has 15-30% error rate (under-reported downtime, optimistic cycle times). Automated sensors (TeepTrak Pulse, Memex MERLIN, Sistema OEE) reduce error to <2% and enable real-time visibility.\"}}, {\"@type\": \"Question\", \"name\": \"What is the ISO standard for OEE?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"ISO 22400-2:2014 Manufacturing operations management - Part 2: Definitions and descriptions of work in process. Updated 2023 with cross-references to ISO 22400-1 (general principles). Defines OEE and 30+ manufacturing KPIs.\"}}, {\"@type\": \"Question\", \"name\": \"Can I download an OEE Excel template?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Yes, click the Download Excel template button above. The template includes daily\/weekly\/monthly aggregation, Six Big Losses tracking, sector benchmarks, and trend charts. Compatible with Excel 2016+ and Google Sheets.\"}}, {\"@type\": \"Question\", \"name\": \"What software automates OEE calculation?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"The 2026 OEE software market includes TeepTrak (French scale-up, 450+ factories), Memex MERLIN Tempus (Canadian), Sistema OEE (German), Evocon (Estonian), FullFab (US), PTC ThingWorx (US enterprise). Choice depends on multi-site geography, machine park heterogeneity, MES integration depth.\"}}, {\"@type\": \"Question\", \"name\": \"How long does it take to deploy OEE measurement?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Plug-and-play sensor solutions (TeepTrak Pulse): under 1 week for 10 machines. PLC-integrated solutions: 4-12 weeks depending on complexity. MES-integrated solutions: 12-24 weeks.\"}}]}<\/script><\/p>\n","protected":false},"excerpt":{"rendered":"<p>TL;DR \u2014 OEE formula in 60 words The OEE formula per ISO 22400-2:2014 has 5 steps: (1) measure Planned Production Time, (2) compute Availability = Run Time \/ PPT, (3) compute Performance = (Theoretical cycle \u00d7 Total count) \/ Run Time, (4) compute Quality = Good count \/ Total count, (5) OEE = A \u00d7 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":94018,"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-94024","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>OEE formula step by step + free calculator (2026): ISO 22400-2 worked examples for manufacturing - 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