{"id":1775,"date":"2026-11-09T04:30:11","date_gmt":"2026-11-09T04:30:11","guid":{"rendered":"https:\/\/mestric.com\/uravnotezenje-linije\/"},"modified":"2026-11-09T04:30:13","modified_gmt":"2026-11-09T04:30:13","slug":"uravnotezenje-linije","status":"publish","type":"post","link":"https:\/\/mestric.com\/hu\/uravnotezenje-linije\/","title":{"rendered":"Production Line Balancing: Takt Time, Stations and Efficiency"},"content":{"rendered":"<\/p>\n<p>Line balancing (in Slovenian, <em>uravnote\u017eenje proizvodne linije<\/em>) means distributing the work on a line across workstations so that each station needs about the same time per cycle. You start from takt time, work out the minimum number of stations, assign tasks without breaking their sequence, and then check line efficiency and idle time. This guide takes you through each step with worked numbers, and shows how live production data keeps the balance from drifting after the project ends.<\/p>\n<div data-blg-cta=\"after_tldr\" data-blg-cta-layout=\"strip\" style=\"margin:28px 0;font-family:-apple-system, BlinkMacSystemFont, &apos;Segoe UI&apos;, Roboto, Helvetica, Arial, sans-serif\">\n<div style=\"border-radius:26px;padding:min(14px,3.2vw);background:radial-gradient(circle at 100% 0%,#e3eeec 0 150px,rgba(255,255,255,0) 151px),radial-gradient(circle at 0% 100%,#e3eeec 0 130px,rgba(255,255,255,0) 131px),linear-gradient(180deg,#edf3f2 0%,#f6f9f9 100%)\">\n<div style=\"background:#ffffff;border-radius:18px;overflow:hidden\">\n<div style=\"display:flex;flex-wrap:wrap;align-items:center;gap:16px 22px;padding:20px 24px\">\n<div style=\"flex:1 1 260px;min-width:0\">\n<div style=\"margin:0 0 8px\"><span style=\"display:inline-block;max-width:100%;border-radius:999px;padding:6px 13px;font-size:12px;font-weight:800;letter-spacing:0.1em;text-transform:uppercase;line-height:1.3;background:#669f94;color:#ffffff\">Mestric<\/span><\/div>\n<div style=\"font-size:19px;font-weight:800;line-height:1.2;letter-spacing:-0.01em;color:#1f2937;margin:0\">Keep Production Line Balance Visible<\/div>\n<div style=\"font-size:14px;line-height:1.5;color:#64748b;margin-top:4px\">Mestric connects to manufacturing equipment to track performance, downtime, quality and costs, giving teams current production data to monitor line balance.<\/div>\n<\/div>\n<div style=\"flex:0 0 auto\"><a href=\"https:\/\/mestric.com\/hu\/\" style=\"display:inline-flex;align-items:center;gap:9px;border-radius:10px;font-weight:700;font-size:15px;text-decoration:none;padding:13px 22px 13px 26px;background:#669f94;color:#ffffff\">Explore Mestric<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2 id=\"tldr\" tabindex=\"-1\">TL;DR<\/h2>\n<ul>\n<li>Line balancing assigns tasks to workstations so that the number of stations and the total idle time are as low as possible for the output you need.<\/li>\n<li>Start with takt time (available production time divided by customer demand), then calculate the minimum stations as total work content divided by takt time, rounded up.<\/li>\n<li>Measure the result with line efficiency and balance delay. Efficiency of 85\u201395% is generally regarded as good, and below 80% points to real rebalancing potential.<\/li>\n<li>Document the before and after, for example with a Yamazumi chart, so you can prove the gain.<\/li>\n<li>Balance is not permanent. Product mix, operators and machines change, so you need current cycle time data, not a one-off study.<\/li>\n<\/ul>\n<h2 id=\"table-of-contents\" tabindex=\"-1\">Tartalomjegyz\u00e9k<\/h2>\n<ul>\n<li><a href=\"#what-line-balancing-means-and-when-to-use-it\">What line balancing means and when to use it<\/a><\/li>\n<li><a href=\"#step-1-calculate-takt-time\">Step 1: Calculate takt time<\/a><\/li>\n<li><a href=\"#step-2-measure-task-times-and-map-precedence\">Step 2: Measure task times and map precedence<\/a><\/li>\n<li><a href=\"#step-3-calculate-the-number-of-stations\">Step 3: Calculate the number of stations<\/a><\/li>\n<li><a href=\"#step-4-assign-tasks-to-stations\">Step 4: Assign tasks to stations<\/a><\/li>\n<li><a href=\"#step-5-measure-efficiency-balance-delay-and-idle-time\">Step 5: Measure efficiency, balance delay and idle time<\/a><\/li>\n<li><a href=\"#what-results-to-expect-published-case-studies\">What results to expect: published case studies<\/a><\/li>\n<li><a href=\"#why-a-balanced-line-drifts-and-how-data-keeps-it-in-shape\">Why a balanced line drifts, and how data keeps it in shape<\/a><\/li>\n<li><a href=\"#our-perspective\">Our perspective<\/a><\/li>\n<li><a href=\"#see-balancing-data-on-a-real-line\">See balancing data on a real line<\/a><\/li>\n<li><a href=\"#a-checklist-for-your-next-balancing-project\">A checklist for your next balancing project<\/a><\/li>\n<li><a href=\"#faq\">GYIK<\/a><\/li>\n<li><a href=\"#sources\">Forr\u00e1sok<\/a><\/li>\n<\/ul>\n<h2 id=\"what-line-balancing-means-and-when-to-use-it\" tabindex=\"-1\">What line balancing means and when to use it<\/h2>\n<p>According to <a href=\"https:\/\/opess.ethz.ch\/course\/section-6-2\/6-2-3-line-balancing-harmonizing-the-content-of-work\/\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">ETH Zurich course material<\/a>, line balancing assigns tasks to workstations to minimise their number and the total idle time for a given output level. It matters most in repetitive line production, where specialised equipment works in a fixed sequence. The same source describes it as a tool for reducing unevenness (the lean term is <em>mura<\/em>) by giving each production step a similar amount of work.<\/p>\n<p>In formal terms, the assembly line balancing problem is a set of tasks with fixed times that must be assigned to sequential stations. The order of tasks follows precedence relationships, and the key constraint is the cycle time available at each station, as the <a href=\"https:\/\/www.mdpi.com\/2076-3417\/13\/10\/6265\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">2023 MDPI study by Breznik, Buchmeister and Vujica Herzog<\/a> puts it. That study comes from Slovenian authors working on a real assembly line.<\/p>\n<p>There are two practical reasons to balance, according to the <a href=\"https:\/\/www.daaam.info\/Downloads\/Pdfs\/science_books_pdfs\/2024\/Sc_Book_2024-001.pdf\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">DAAAM 2024 scientific book<\/a>: efficient use of labour, and fairness, since one station working much harder than its neighbours causes problems of its own.<\/p>\n<p>Typical signs that a line needs balancing:<\/p>\n<ul>\n<li>One station always has a queue in front of it while the next one waits.<\/li>\n<li>Operators at some stations are visibly idle while others cannot keep up.<\/li>\n<li>Output stays below demand even though total capacity looks sufficient.<\/li>\n<li>You add operators or overtime to hit the plan, but throughput barely moves.<\/li>\n<li>You launch a new product variant or change demand and the old station layout no longer fits.<\/li>\n<\/ul>\n<p>If you recognise these, the first job is to find the slowest station. Our guide to <a href=\"https:\/\/mestric.com\/hu\/how-to-identify-production-bottlenecks-effectively\/\" target=\"_blank\" rel=\"noopener\">identifying production bottlenecks<\/a> covers that step in detail.<\/p>\n<h2 id=\"step-1-calculate-takt-time\" tabindex=\"-1\">Step 1: Calculate takt time<\/h2>\n<p>Takt time is the pace the customer sets. The <a href=\"https:\/\/www.lean.org\/lexicon-terms\/takt-time\/\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">Lean Enterprise Institute<\/a> defines it as available production time divided by customer demand. Its example: 480 minutes per day and demand for 240 widgets per day gives two minutes per widget.<\/p>\n<p>The detail that decides whether your figure is right is what counts as available time. Use time when the line is planned to run, and leave out breaks, meetings and time between shifts. A worked example from <a href=\"https:\/\/resources.rework.com\/libraries\/process-management\/takt-time\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">Rework<\/a> shows it clearly: an 8-hour shift minus 60 minutes of breaks leaves 420 minutes, or 25,200 seconds. With demand of 180 units per shift, takt time is 25,200 \u00f7 180 = 140 seconds per unit.<\/p>\n<p>A few rules of thumb:<\/p>\n<ol>\n<li>Take demand from confirmed orders or a reliable forecast for the period, not from last year\u2019s average.<\/li>\n<li>Calculate takt per product family if your line runs several variants.<\/li>\n<li>Recalculate whenever demand or shift patterns change.<\/li>\n<\/ol>\n<p>For more formulas and examples, see our page on <a href=\"https:\/\/mestric.com\/hu\/takt-time-izracun\/\" target=\"_blank\" rel=\"noopener\">takt time calculation<\/a>.<\/p>\n<h2 id=\"step-2-measure-task-times-and-map-precedence\" tabindex=\"-1\">Step 2: Measure task times and map precedence<\/h2>\n<p>Balancing is only as good as the times you feed into it. You need three inputs, in line with the <a href=\"https:\/\/jvatn.folk.ntnu.no\/eLearning\/TPK4191\/slides\/Fabio_AS_DesignAndBalancing.pdf\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">NTNU course slides<\/a>: the task times, a list of activities with a precedence diagram, and the required throughput.<\/p>\n<p><strong>Task times.<\/strong> Use a stopwatch study on several cycles, or a predetermined time standard. The Slovenian study mentioned above used the MTM (Methods-Time Measurement) standard, which assumes that basic movements in the correct sequence are faster and cause fewer errors. It recommended MTM-UAS for the observed assembly line.<\/p>\n<p><strong>Precedence.<\/strong> List which task must finish before another can start. This is what makes balancing harder than simply sharing out work. In an <a href=\"https:\/\/kevos.com\/reados\/publications\/shop-floor-optimisation-by-the-numbers\/balancing-an-assembly-line\/\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">example from KEVOS<\/a>, 11 tasks across 3 stations allow 177,147 possible assignments, yet only 27 respect both the precedence rules and the 7.00-minute takt.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/mestric.com\/wp-content\/uploads\/2026\/11\/1794022299422_Task-assignments-narrowed-by-precedence-and-takt.jpeg\" alt=\"Task assignments narrowed by precedence and takt\"><\/p>\n<p><strong>Variation.<\/strong> Single measurements hide variation between operators, shifts and product variants. Averages over many cycles are far more reliable. Collecting them by hand is slow, which is why many plants move cycle time capture to the machines themselves. Read more in our guide to <a href=\"https:\/\/mestric.com\/hu\/merjenje-casa-cikla\/\" target=\"_blank\" rel=\"noopener\">cycle time measurement with an MES<\/a>.<\/p>\n<h2 id=\"step-3-calculate-the-number-of-stations\" tabindex=\"-1\">Step 3: Calculate the number of stations<\/h2>\n<p>The theoretical minimum is total work content divided by takt time, rounded up, as <a href=\"https:\/\/www.jodoo.com\/blog\/line-balancing-manufacturing\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">Jodoo\u2019s line balancing guide<\/a> explains. Its example: 12 minutes of work content and a 2.5-minute takt gives 4.8, so you need at least 5 stations.<\/p>\n<p>Treat this as a lower bound. Precedence rules and indivisible tasks usually mean the real answer is equal to it or slightly higher. The DAAAM book notes that tasks are assigned by eliminating those that do not fit the cycle time and those whose predecessors are not yet placed.<\/p>\n<h2 id=\"step-4-assign-tasks-to-stations\" tabindex=\"-1\">Step 4: Assign tasks to stations<\/h2>\n<p>You do not need specialist software to start. Three heuristics cover most cases, all described in the sources above:<\/p>\n<table>\n<thead>\n<tr>\n<th>Method<\/th>\n<th>How it works<\/th>\n<th>Best used when<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Largest Candidate Rule<\/td>\n<td>Order tasks from longest to shortest. Open a station, add the longest task that is allowed by precedence and still fits, then open the next station when nothing fits.<\/td>\n<td>You want a quick first solution by hand<\/td>\n<\/tr>\n<tr>\n<td>Ranked Positional Weight<\/td>\n<td>Rank each task by its own time plus the time of every task that follows it. Fill stations with the highest-ranked available task.<\/td>\n<td>Precedence chains are long and the first rule leaves gaps<\/td>\n<\/tr>\n<tr>\n<td>Kilbridge and Wester<\/td>\n<td>Group tasks into precedence columns and assign by column.<\/td>\n<td>The precedence diagram is clear and fairly linear<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>A practical routine:<\/p>\n<ol>\n<li>Draw the precedence diagram with task times.<\/li>\n<li>Open station 1 and fill it with tasks that fit within takt.<\/li>\n<li>Close it when nothing else fits, and open the next one.<\/li>\n<li>Repeat until all tasks are placed.<\/li>\n<li>Compare the result from a second heuristic, and keep the better one.<\/li>\n<li>Test the layout on the floor for a few shifts before fixing it.<\/li>\n<\/ol>\n<p>A feasible balance, as <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0377221704004795\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">Scholl and Becker\u2019s review<\/a> states, is one where no station time exceeds the cycle time. Any station below it has idle time equal to the difference in each cycle.<\/p>\n<h2 id=\"step-5-measure-efficiency-balance-delay-and-idle-time\" tabindex=\"-1\">Step 5: Measure efficiency, balance delay and idle time<\/h2>\n<p>Three numbers tell you whether the balance is good. Using the worked example from <a href=\"https:\/\/www.jodoo.com\/blog\/line-balancing-manufacturing\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">Jodoo<\/a> (12 minutes of work, 5 stations, 2.5-minute takt):<\/p>\n<ul>\n<li><strong>Line efficiency<\/strong> = total work content \u00f7 (stations \u00d7 takt time) = 12 \u00f7 (5 \u00d7 2.5) = 96%.<\/li>\n<li><strong>Balance delay<\/strong> = 1 \u2212 line efficiency = 4%.<\/li>\n<li><strong>Idle time per cycle<\/strong> = (stations \u00d7 takt time) \u2212 total work content = 0.5 minutes.<\/li>\n<\/ul>\n<p>The same source points out a trap: station 3 in that example takes 2.8 minutes, above the 2.5-minute takt. A high efficiency percentage does not make an infeasible station acceptable, so always check the longest station against takt first. The slowest station is the bottleneck and sets the real pace of the whole line.<\/p>\n<p>A second example shows what a weaker result looks like. In an office chair assembly case from <a href=\"https:\/\/lean6sigmahub.com\/assembly-line-operations-how-to-recognize-and-resolve-takt-time-and-balancing-issues\/\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">Lean 6 Sigma Hub<\/a>, 23.7 minutes of total task time, 6 workstations and a 5-minute cycle give 79% balancing efficiency, which means 21% idle capacity.<\/p>\n<p>Plants often use a Yamazumi chart, a stacked bar chart of the task times at each station against the takt line, to see this at a glance. Station bars above the line need work taken off. Bars far below it have spare capacity to receive work.<\/p>\n<h2 id=\"what-results-to-expect-published-case-studies\" tabindex=\"-1\">What results to expect: published case studies<\/h2>\n<p>The figures below come from published studies. They show what is achievable in different settings, not what any particular plant will gain.<\/p>\n<table>\n<thead>\n<tr>\n<th>Case<\/th>\n<th>Method<\/th>\n<th>Result<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Slovenian assembly line (<a href=\"https:\/\/www.mdpi.com\/2076-3417\/13\/10\/6265\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">MDPI, 2023<\/a>)<\/td>\n<td>MTM time standard and simulation<\/td>\n<td>Difference between the bottleneck and the least occupied station cut from 38.37% to 8.52%<\/td>\n<\/tr>\n<tr>\n<td>Wiring industry (<a href=\"https:\/\/www.astrj.com\/pdf-169257-93290?filename=Improvement+of+Assembly.pdf\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">ASTRJ, 2023<\/a>)<\/td>\n<td>DMAIC with Yamazumi chart<\/td>\n<td>Line efficiency up from 78% to 95%, with a saving in manpower<\/td>\n<\/tr>\n<tr>\n<td>Shoe finishing line (<a href=\"https:\/\/ijins.umsida.ac.id\/index.php\/ijins\/article\/view\/2122\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">IJINS, 2024<\/a>)<\/td>\n<td>Largest Candidate Rule and Region Approach<\/td>\n<td>Efficiency from 49.0% to 81.73%, stations from 15 to 9<\/td>\n<\/tr>\n<tr>\n<td>Automotive supplier in Slovakia (<a href=\"https:\/\/www.temjournal.com\/content\/131\/TEMJournalFebruary2024_112_122.pdf\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">TEM Journal, 2024<\/a>)<\/td>\n<td>Yamazumi graph<\/td>\n<td>Cycle time from 22.7 to 17.7 seconds, fewer operators needed<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>The wiring study makes one point worth copying: build the Yamazumi diagram both before and after the changes, and judge the improvement by comparing the two efficiency values. Without a documented starting point you cannot show what the project delivered.<\/p>\n<h2 id=\"why-a-balanced-line-drifts-and-how-data-keeps-it-in-shape\" tabindex=\"-1\">Why a balanced line drifts, and how data keeps it in shape<\/h2>\n<p>A line balanced on paper starts to drift on day one. A new variant changes task times. A machine slows down. An experienced operator leaves. Micro-stoppages move the bottleneck from one station to another. If you only re-measure once a year, you are balancing last year\u2019s line.<\/p>\n<p>That is why ongoing balancing needs three data streams:<\/p>\n<ul>\n<li><strong>Actual cycle time per station<\/strong>, captured automatically, so you see which station exceeds takt and when.<\/li>\n<li><strong>Downtime by cause<\/strong>, to separate a real imbalance of work from a machine that simply stops too often.<\/li>\n<li><strong>Output and quality by shift and product<\/strong>, so a rebalancing does not quietly raise scrap.<\/li>\n<\/ul>\n<p>Slovenian industry already shows how far data-driven layout work can go. At UNIOR in Zre\u010de, a <a href=\"https:\/\/revija-ventil.si\/en\/optimizing-production-layout-and-logistics-using-a-digital-twin-at-unior\/\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">digital twin was used to optimise production layout and internal logistics<\/a>, reportedly increasing the number of operations performed by more than 320% and reducing material transport distances by 43%. Few plants start with a digital twin, but the principle is the same: decisions about layout rest on measured data.<\/p>\n<p>For related planning work, see our guides on <a href=\"https:\/\/mestric.com\/hu\/planiranje-kapacitet-proizvodnje\/\" target=\"_blank\" rel=\"noopener\">production capacity planning<\/a> \u00e9s <a href=\"https:\/\/mestric.com\/hu\/step-by-step-production-optimisation-guide\/\" target=\"_blank\" rel=\"noopener\">l\u00e9p\u00e9sr\u0151l l\u00e9p\u00e9sre t\u00f6rt\u00e9n\u0151 termel\u00e9soptimaliz\u00e1l\u00e1s<\/a>.<\/p>\n<h2 id=\"our-perspective\" tabindex=\"-1\">Our perspective<\/h2>\n<blockquote>\n<p>Most balancing projects we see are treated as a one-off exercise: a time study, a spreadsheet, a new station layout. The result is good for a few weeks. Then the product mix changes and nobody knows which station is now the slowest.<\/p>\n<p>We built Mestric\u2122 MES around a different idea. The system connects directly with your equipment, collects data automatically and shows KPIs such as performance, downtime and quality parameters in real time. Production managers see where the bottleneck is today, not where it was in the last study.<\/p>\n<p>Our AI-powered optimisation tools are designed to support the decisions that follow: where to move work, which process norms to adjust, and which stoppages to attack first. Less manual data entry also means fewer manual errors in the very times your balance depends on.<\/p>\n<p>Our advice: do the paper balance once, properly, with takt time and a Yamazumi chart. Then let live data tell you when it needs another look.<\/p>\n<p><em>Andra\u017e<\/em><\/p>\n<\/blockquote>\n<h2 id=\"see-balancing-data-on-a-real-line\" tabindex=\"-1\">See balancing data on a real line<\/h2>\n<p>If you want to see what station-level data looks like in practice, Mestric\u2122 MES can be shown working with connected machinery. Our demonstration presents live KPI dashboards, downtime analysis and cost analytics in a real production setting, so you can judge how it would fit your line.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/mestric.com\/wp-content\/uploads\/2026\/09\/1771068359718_mestric.jpg\" alt=\"Mestric\"><\/p>\n<p>Read about the platform on our <a href=\"https:\/\/mestric.com\/hu\/megoldasunk\/\" target=\"_blank\" rel=\"noopener\">Mestric\u2122 MES page<\/a>, or see how <a href=\"https:\/\/mestric.com\/hu\/real-time-performance-tracking-for-manufacturing-efficiency\/\" target=\"_blank\" rel=\"noopener\">real-time performance tracking<\/a> supports daily decisions on the shop floor.<\/p>\n<h2 id=\"a-checklist-for-your-next-balancing-project\" tabindex=\"-1\">A checklist for your next balancing project<\/h2>\n<ol>\n<li>Define the period and the product family, and calculate takt time from planned run time and demand.<\/li>\n<li>Collect task times from many cycles, across shifts and operators.<\/li>\n<li>Draw the precedence diagram and mark tasks that cannot be split.<\/li>\n<li>Calculate the minimum number of stations (work content \u00f7 takt, rounded up).<\/li>\n<li>Assign tasks with at least two heuristics and pick the better one.<\/li>\n<li>Check that no station exceeds takt, then calculate efficiency, balance delay and idle time.<\/li>\n<li>Create a Yamazumi chart before and after the change.<\/li>\n<li>Trial the new layout, then monitor station cycle times continuously.<\/li>\n<li>Review whenever demand, product mix or staffing changes.<\/li>\n<\/ol>\n<h2 id=\"faq\" tabindex=\"-1\">GYIK<\/h2>\n<h3 id=\"what-is-a-good-line-efficiency\" tabindex=\"-1\">What is a good line efficiency?<\/h3>\n<p>According to <a href=\"https:\/\/amdmachines.com\/blog\/assembly-line-balancing-for-optimal-efficiency\/\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">AMD Machines<\/a>, 85\u201395% is generally considered good in practice, and below 80% signals significant rebalancing opportunities. Treat the range as a guide, since the right target depends on your process, variability and product mix.<\/p>\n<h3 id=\"what-is-the-difference-between-takt-time-and-cycle-time\" tabindex=\"-1\">What is the difference between takt time and cycle time?<\/h3>\n<p>Takt time is the pace set by customer demand: available time divided by demand. Cycle time is how long a station actually needs to complete its work. The line is on pace when the longest station cycle time does not exceed takt.<\/p>\n<h3 id=\"how-many-workstations-does-my-line-need\" tabindex=\"-1\">How many workstations does my line need?<\/h3>\n<p>Divide total work content by takt time and round up. With 12 minutes of work and a 2.5-minute takt, you need at least 5 stations. The real number can be higher if precedence rules or indivisible tasks prevent a perfect fit.<\/p>\n<h3 id=\"can-i-balance-a-line-without-software\" tabindex=\"-1\">Can I balance a line without software?<\/h3>\n<p>Yes. A spreadsheet, a precedence diagram and a heuristic such as the Largest Candidate Rule are enough for a first balance. Software and live machine data become useful when you run many variants or need to keep the balance current over time.<\/p>\n<h2 id=\"sources\" tabindex=\"-1\">Forr\u00e1sok<\/h2>\n<ul>\n<li><a href=\"https:\/\/opess.ethz.ch\/course\/section-6-2\/6-2-3-line-balancing-harmonizing-the-content-of-work\/\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">ETH Zurich: Line balancing, harmonising the content of work<\/a><\/li>\n<li><a href=\"https:\/\/www.mdpi.com\/2076-3417\/13\/10\/6265\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">MDPI 2023: Assembly line optimisation using MTM time standard<\/a><\/li>\n<li><a href=\"https:\/\/www.daaam.info\/Downloads\/Pdfs\/science_books_pdfs\/2024\/Sc_Book_2024-001.pdf\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">DAAAM International Scientific Book 2024<\/a><\/li>\n<li><a href=\"https:\/\/www.lean.org\/lexicon-terms\/takt-time\/\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">Lean Enterprise Institute: Takt time<\/a><\/li>\n<li><a href=\"https:\/\/resources.rework.com\/libraries\/process-management\/takt-time\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">Rework: Takt time formula<\/a><\/li>\n<li><a href=\"https:\/\/jvatn.folk.ntnu.no\/eLearning\/TPK4191\/slides\/Fabio_AS_DesignAndBalancing.pdf\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">NTNU: Design and balancing slides<\/a><\/li>\n<li><a href=\"https:\/\/kevos.com\/reados\/publications\/shop-floor-optimisation-by-the-numbers\/balancing-an-assembly-line\/\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">KEVOS: Balancing an assembly line<\/a><\/li>\n<li><a href=\"https:\/\/www.jodoo.com\/blog\/line-balancing-manufacturing\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">Jodoo: Line balancing in manufacturing<\/a><\/li>\n<li><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0377221704004795\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">Scholl and Becker: State-of-the-art exact and heuristic solution procedures<\/a><\/li>\n<li><a href=\"https:\/\/lean6sigmahub.com\/assembly-line-operations-how-to-recognize-and-resolve-takt-time-and-balancing-issues\/\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">Lean 6 Sigma Hub: Takt time and balancing issues<\/a><\/li>\n<li><a href=\"https:\/\/www.astrj.com\/pdf-169257-93290?filename=Improvement+of+Assembly.pdf\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">ASTRJ 2023: Improvement of assembly line efficiency<\/a><\/li>\n<li><a href=\"https:\/\/ijins.umsida.ac.id\/index.php\/ijins\/article\/view\/2122\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">IJINS 2024: Line balancing in shoe finishing<\/a><\/li>\n<li><a href=\"https:\/\/www.temjournal.com\/content\/131\/TEMJournalFebruary2024_112_122.pdf\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">TEM Journal 2024: New production line in an automotive company<\/a><\/li>\n<li><a href=\"https:\/\/revija-ventil.si\/en\/optimizing-production-layout-and-logistics-using-a-digital-twin-at-unior\/\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">Ventil: Digital twin at UNIOR<\/a><\/li>\n<li><a href=\"https:\/\/amdmachines.com\/blog\/assembly-line-balancing-for-optimal-efficiency\/\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">AMD Machines: Assembly line balancing<\/a><\/li>\n<\/ul>\n<h2 id=\"recommended\" tabindex=\"-1\">Aj\u00e1nlott<\/h2>\n<ul>\n<li><a href=\"https:\/\/mestric.com\/hu\/takt-time-izracun\/\" target=\"_blank\" rel=\"noopener\">Takt time calculation: the formula and worked examples<\/a><\/li>\n<li><a href=\"https:\/\/mestric.com\/hu\/step-by-step-production-optimisation-guide\/\" target=\"_blank\" rel=\"noopener\">L\u00e9p\u00e9sr\u0151l l\u00e9p\u00e9sre sz\u00f3l\u00f3 gy\u00e1rt\u00e1soptimaliz\u00e1l\u00e1s a gy\u00e1rt\u00f3k sz\u00e1m\u00e1ra<\/a><\/li>\n<li><a href=\"https:\/\/mestric.com\/hu\/how-to-identify-production-bottlenecks-effectively\/\" target=\"_blank\" rel=\"noopener\">How to identify production bottlenecks effectively<\/a><\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>Learn how to balance a production line: calculate takt time and stations, measure efficiency and idle time, and keep the balance stable with live shop floor data.<\/p>","protected":false},"author":1,"featured_media":1776,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1775","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-learn"],"acf":[],"_links":{"self":[{"href":"https:\/\/mestric.com\/hu\/wp-json\/wp\/v2\/posts\/1775","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mestric.com\/hu\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mestric.com\/hu\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mestric.com\/hu\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mestric.com\/hu\/wp-json\/wp\/v2\/comments?post=1775"}],"version-history":[{"count":1,"href":"https:\/\/mestric.com\/hu\/wp-json\/wp\/v2\/posts\/1775\/revisions"}],"predecessor-version":[{"id":1778,"href":"https:\/\/mestric.com\/hu\/wp-json\/wp\/v2\/posts\/1775\/revisions\/1778"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mestric.com\/hu\/wp-json\/wp\/v2\/media\/1776"}],"wp:attachment":[{"href":"https:\/\/mestric.com\/hu\/wp-json\/wp\/v2\/media?parent=1775"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mestric.com\/hu\/wp-json\/wp\/v2\/categories?post=1775"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mestric.com\/hu\/wp-json\/wp\/v2\/tags?post=1775"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}