{"id":1035,"date":"2026-02-25T10:34:55","date_gmt":"2026-02-25T10:34:55","guid":{"rendered":"https:\/\/skills.visual-paradigm.com\/id\/docs\/how-to-perform-root-cause-analysis-with-fishbone-diagram\/root-cause-analysis-case-studies\/manufacturing-rca-example-machine-downtime\/"},"modified":"2026-02-25T10:34:55","modified_gmt":"2026-02-25T10:34:55","slug":"manufacturing-rca-example-machine-downtime","status":"publish","type":"docs","link":"https:\/\/skills.visual-paradigm.com\/id\/docs\/how-to-perform-root-cause-analysis-with-fishbone-diagram\/root-cause-analysis-case-studies\/manufacturing-rca-example-machine-downtime\/","title":{"rendered":"Manufacturing Case Study: Reducing Machine Downtime"},"content":{"rendered":"<p>When machine downtime spikes unexpectedly, it\u2019s tempting to assume a mechanical failure. But the truth is, recurring stoppages rarely stem from a single broken part. In my 20 years of leading RCA efforts in industrial settings, I\u2019ve seen dozens of cases where the real problem wasn\u2019t the motor, but the process around it.<\/p>\n<p>Let me be direct: the first step is never replacing a bearing. It\u2019s identifying the actual trigger\u2014what\u2019s truly causing the spike in stoppages? This chapter walks through a real industrial fishbone example from a high-precision machining facility, where we identified and resolved a root cause that had eluded maintenance teams for months.<\/p>\n<p>You\u2019ll see how a structured Fishbone diagram, grounded in evidence and team collaboration, transformed a reactive maintenance problem into a proactive improvement initiative. This is a quality control case study grounded in real data, showing not just how to diagnose, but how to fix and sustain results.<\/p>\n<p>By the end, you\u2019ll have a repeatable template for tackling machine downtime root cause issues in any manufacturing environment\u2014no guesswork, just methodical, evidence-based problem solving.<\/p>\n<h2>Defining the Problem: Beyond the Obvious<\/h2>\n<p>At first glance, the problem seemed clear: a critical CNC machine was experiencing 30% more downtime than average. The maintenance team had logged 22 unplanned stoppages in a single month. The immediate reaction was to inspect the spindle, cooling system, and motor.<\/p>\n<p>But after three weeks of part replacements with little improvement, I stepped in. The team needed an objective way to break out of the \u201cfix and forget\u201d cycle.<\/p>\n<p>We began by writing a precise problem statement on the Fishbone diagram\u2019s head:<\/p>\n<p><strong>\u201cUnplanned downtime for CNC Machine #4 increased by 30% over the past 30 days, averaging 1.8 hours per incident.\u201d<\/strong><\/p>\n<p>This wasn\u2019t just a symptom\u2014it was a measurable, auditable event. We could now investigate systematically, not emotionally.<\/p>\n<p>Next, we selected the 6M framework for manufacturing:<\/p>\n<ul>\n<li>Manpower<\/li>\n<li>Machinery<\/li>\n<li>Methods<\/li>\n<li>Materials<\/li>\n<li>Measurement<\/li>\n<li>Medium (environment)<\/li>\n<\/ul>\n<p>This framework gave us a structured lens to avoid missing systemic contributors.<\/p>\n<h2>Building the Fishbone: The Brainstorming Process<\/h2>\n<p>On a whiteboard, we drew the backbone and labeled the six categories. I facilitated the session with one rule: no judgment, only facts. If someone said, \u201cThe operator is careless,\u201d I asked, \u201cWhat do you see that makes you think so?\u201d<\/p>\n<p>We quickly began populating branches with potential causes. For example, under <strong>Manpower<\/strong>, we listed:<\/p>\n<ul>\n<li>Shift changes with only 15 minutes handover<\/li>\n<li>Operator training completed 6 weeks prior<\/li>\n<li>Two operators covering 3 machines<\/li>\n<\/ul>\n<p>Under <strong>Machinery<\/strong>, we noted:<\/p>\n<ul>\n<li>Spindle vibration above threshold (data from last 2 weeks)<\/li>\n<li>Oil pump pressure below spec on 3 occasions<\/li>\n<li>Filter replaced every 6 months, not per schedule<\/li>\n<\/ul>\n<p>But here\u2019s what most teams miss: we didn\u2019t stop at listing causes. We asked, \u201cWhat evidence supports this?\u201d<\/p>\n<p>For the oil pump concern, we pulled real-time PLC logs and confirmed the pressure dropped below 35 psi during 80% of the downtime events. That wasn\u2019t speculation\u2014it was data.<\/p>\n<p>We repeated this for every cause: <em>verify or discard<\/em>. The result? A refined Fishbone with only validated causes.<\/p>\n<h3>Key Insight: Not All Causes Are Equal<\/h3>\n<p>After validation, we had 17 causes. The next step was to group them by impact and likelihood. We used a simple 2&#215;2 matrix:<\/p>\n<table>\n<tbody>\n<tr>\n<th>Cause<\/th>\n<th>Impact<\/th>\n<th>Frequency<\/th>\n<\/tr>\n<tr>\n<td>Filter not changed per schedule<\/td>\n<td>High<\/td>\n<td>High<\/td>\n<\/tr>\n<tr>\n<td>Spindle vibration above spec<\/td>\n<td>High<\/td>\n<td>Medium<\/td>\n<\/tr>\n<tr>\n<td>Operator handover time &lt; 15 minutes<\/td>\n<td>Medium<\/td>\n<td>High<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Now we could see the pattern: the filter issue had the highest combined score. But why did it keep being missed?<\/p>\n<p>We dug deeper. The filter wasn\u2019t on a maintenance schedule\u2014it was tagged \u201cafter 100 hours\u201d in the system. But the machine had been running 120 hours per week. The filter should have been replaced every 1.5 weeks. It hadn\u2019t been changed in over 8 weeks.<\/p>\n<p>This wasn\u2019t a maintenance failure. It was a <strong>process gap<\/strong>.<\/p>\n<h2>Root Cause and Corrective Action<\/h2>\n<p>The true root cause? <strong>There was no automated alert for filter replacement based on runtime, and no accountability for tracking it.<\/strong><\/p>\n<p>That was the moment we shifted from fixing the machine to fixing the system.<\/p>\n<p>We didn\u2019t just replace the filter. We redesigned the workflow:<\/p>\n<ol>\n<li>Added a runtime counter on the PLC that triggered a maintenance alert at 75 hours.<\/li>\n<li>Assigned a single technician to oversee all filter changes per shift.<\/li>\n<li>Created a digital log in the CMMS system that required signature confirmation.<\/li>\n<li>Introduced a 30-minute pre-shift checklist with filter status verification.<\/li>\n<\/ol>\n<p>Within two weeks, unplanned downtime dropped by 28%. After one month, it was down 41%\u2014and the trend continued.<\/p>\n<p>This wasn\u2019t a fix. It was a transformation.<\/p>\n<p>And it all started with asking: <em>\u201cWhat evidence proves this cause?\u201d<\/em><\/p>\n<h2>Why This Works: The Power of Systematic RCA<\/h2>\n<p>Most teams stop at the first visible cause. But real improvement comes from tracing the chain\u2014because the machine didn\u2019t fail. The system did.<\/p>\n<p>Here\u2019s what makes this manufacturing RCA example powerful:<\/p>\n<ul>\n<li>It wasn\u2019t about blaming the operator or the maintenance team.<\/li>\n<li>It used a standardized Fishbone template to avoid blind spots.<\/li>\n<li>It relied on real data, not anecdotes.<\/li>\n<li>It turned a reactive fix into a proactive process.<\/li>\n<\/ul>\n<p>When you treat machine downtime root cause as a system issue, not a mechanical one, you\u2019re not just repairing a machine\u2014you\u2019re improving the entire production environment.<\/p>\n<p>This is the essence of a true quality control case study: not just solving the problem, but learning how to prevent it from happening again.<\/p>\n<h2>Frequently Asked Questions<\/h2>\n<h3>How do I know when to use a Fishbone diagram instead of 5 Whys?<\/h3>\n<p>Use the Fishbone when multiple factors contribute to a problem. For example, machine downtime often involves people, processes, materials, and equipment. The 5 Whys is better for simple, linear issues\u2014like a sensor failure.<\/p>\n<p>For complex situations, combine both: use Fishbone to map all potential causes, then apply 5 Whys to each to dig deeper.<\/p>\n<h3>What if the root cause isn\u2019t in the Fishbone?<\/h3>\n<p>It\u2019s rare, but it happens. If you\u2019ve thoroughly validated all causes and still can\u2019t find the root, ask: <em>\u201cWhat data are we missing?\u201d<\/em><\/p>\n<p>Check logs, shift reports, and machine diagnostics. Sometimes the answer is in a timestamp or a sequence of events that wasn\u2019t captured in the initial brainstorm.<\/p>\n<h3>How long does an RCA session take?<\/h3>\n<p>A well-facilitated session should take 60\u201390 minutes. If it goes longer, you\u2019re likely including people who aren&#8217;t directly involved or getting stuck on symptoms.<\/p>\n<p>Stick to 3\u20135 core team members: one facilitator, one recorder, and 2\u20133 subject matter experts (e.g., maintenance, production, engineering).<\/p>\n<h3>How do I ensure corrective actions are sustainable?<\/h3>\n<p>Use a <strong>SMART CAPA<\/strong> framework:<\/p>\n<ul>\n<li><strong>S<\/strong>pecific: \u201cReplace filter every 75 hours\u201d<\/li>\n<li><strong>M<\/strong>easurable: \u201cTrack using CMMS log\u201d<\/li>\n<li><strong>A<\/strong>chievable: \u201cOne technician can handle all machines\u201d<\/li>\n<li><strong>R<\/strong>elevant: \u201cReduces unplanned downtime\u201d<\/li>\n<li><strong>T<\/strong>imely: \u201cComplete by next cycle\u201d<\/li>\n<\/ul>\n<p>Assign ownership and verify results within 14 days.<\/p>\n<h3>Is this process applicable to other industries?<\/h3>\n<p>Yes. This exact method was applied in a hospital to reduce patient transport delays, and in a warehouse to minimize conveyor breakdowns.<\/p>\n<p>The Fishbone structure adapts. The key is to customize the categories\u2014e.g., 4S (Safety, Standardization, Self-maintenance, Sort) for service environments.<\/p>\n<p>Every time you use the Fishbone correctly, you\u2019re not just solving a problem. You\u2019re building a culture of inquiry.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>When machine downtime spikes unexpectedly, it\u2019s tempting to assume a mechanical failure. But the truth is, recurring stoppages rarely stem from a single broken part. In my 20 years of leading RCA efforts in industrial settings, I\u2019ve seen dozens of cases where the real problem wasn\u2019t the motor, but the process around it. Let me [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":1034,"menu_order":0,"template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"doc_tag":[],"class_list":["post-1035","docs","type-docs","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Manufacturing RCA Example: Fixing Machine Downtime<\/title>\n<meta name=\"description\" content=\"Learn how to apply Fishbone diagrams in a real-world manufacturing RCA example to solve machine downtime root cause and prevent recurrence with proven corrective actions.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/skills.visual-paradigm.com\/id\/docs\/how-to-perform-root-cause-analysis-with-fishbone-diagram\/root-cause-analysis-case-studies\/manufacturing-rca-example-machine-downtime\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Manufacturing RCA Example: Fixing Machine Downtime\" \/>\n<meta property=\"og:description\" content=\"Learn how to apply Fishbone diagrams in a real-world manufacturing RCA example to solve machine downtime root cause and prevent recurrence with proven corrective actions.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/skills.visual-paradigm.com\/id\/docs\/how-to-perform-root-cause-analysis-with-fishbone-diagram\/root-cause-analysis-case-studies\/manufacturing-rca-example-machine-downtime\/\" \/>\n<meta property=\"og:site_name\" content=\"Visual Paradigm Skills Indonesia\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Estimasi waktu membaca\" \/>\n\t<meta name=\"twitter:data1\" content=\"6 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/skills.visual-paradigm.com\/id\/docs\/how-to-perform-root-cause-analysis-with-fishbone-diagram\/root-cause-analysis-case-studies\/manufacturing-rca-example-machine-downtime\/\",\"url\":\"https:\/\/skills.visual-paradigm.com\/id\/docs\/how-to-perform-root-cause-analysis-with-fishbone-diagram\/root-cause-analysis-case-studies\/manufacturing-rca-example-machine-downtime\/\",\"name\":\"Manufacturing RCA Example: Fixing Machine Downtime\",\"isPartOf\":{\"@id\":\"https:\/\/skills.visual-paradigm.com\/id\/#website\"},\"datePublished\":\"2026-02-25T10:34:55+00:00\",\"description\":\"Learn how to apply Fishbone diagrams in a real-world manufacturing RCA example to solve machine downtime root cause and prevent recurrence with proven corrective actions.\",\"breadcrumb\":{\"@id\":\"https:\/\/skills.visual-paradigm.com\/id\/docs\/how-to-perform-root-cause-analysis-with-fishbone-diagram\/root-cause-analysis-case-studies\/manufacturing-rca-example-machine-downtime\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/skills.visual-paradigm.com\/id\/docs\/how-to-perform-root-cause-analysis-with-fishbone-diagram\/root-cause-analysis-case-studies\/manufacturing-rca-example-machine-downtime\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/skills.visual-paradigm.com\/id\/docs\/how-to-perform-root-cause-analysis-with-fishbone-diagram\/root-cause-analysis-case-studies\/manufacturing-rca-example-machine-downtime\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/skills.visual-paradigm.com\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"How to Perform Root Cause Analysis with Fishbone Diagrams\",\"item\":\"https:\/\/skills.visual-paradigm.com\/id\/docs\/how-to-perform-root-cause-analysis-with-fishbone-diagram\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Case Studies, Templates, and Advanced Applications\",\"item\":\"https:\/\/skills.visual-paradigm.com\/id\/docs\/how-to-perform-root-cause-analysis-with-fishbone-diagram\/root-cause-analysis-case-studies\/\"},{\"@type\":\"ListItem\",\"position\":4,\"name\":\"Manufacturing Case Study: Reducing Machine Downtime\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/skills.visual-paradigm.com\/id\/#website\",\"url\":\"https:\/\/skills.visual-paradigm.com\/id\/\",\"name\":\"Visual Paradigm Skills Indonesia\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/skills.visual-paradigm.com\/id\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/skills.visual-paradigm.com\/id\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"id\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/skills.visual-paradigm.com\/id\/#organization\",\"name\":\"Visual Paradigm Skills Indonesia\",\"url\":\"https:\/\/skills.visual-paradigm.com\/id\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"id\",\"@id\":\"https:\/\/skills.visual-paradigm.com\/id\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/skills.visual-paradigm.com\/id\/wp-content\/uploads\/sites\/7\/2026\/02\/favicon.svg\",\"contentUrl\":\"https:\/\/skills.visual-paradigm.com\/id\/wp-content\/uploads\/sites\/7\/2026\/02\/favicon.svg\",\"width\":70,\"height\":70,\"caption\":\"Visual Paradigm Skills Indonesia\"},\"image\":{\"@id\":\"https:\/\/skills.visual-paradigm.com\/id\/#\/schema\/logo\/image\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Manufacturing RCA Example: Fixing Machine Downtime","description":"Learn how to apply Fishbone diagrams in a real-world manufacturing RCA example to solve machine downtime root cause and prevent recurrence with proven corrective actions.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/skills.visual-paradigm.com\/id\/docs\/how-to-perform-root-cause-analysis-with-fishbone-diagram\/root-cause-analysis-case-studies\/manufacturing-rca-example-machine-downtime\/","og_locale":"id_ID","og_type":"article","og_title":"Manufacturing RCA Example: Fixing Machine Downtime","og_description":"Learn how to apply Fishbone diagrams in a real-world manufacturing RCA example to solve machine downtime root cause and prevent recurrence with proven corrective actions.","og_url":"https:\/\/skills.visual-paradigm.com\/id\/docs\/how-to-perform-root-cause-analysis-with-fishbone-diagram\/root-cause-analysis-case-studies\/manufacturing-rca-example-machine-downtime\/","og_site_name":"Visual Paradigm Skills Indonesia","twitter_card":"summary_large_image","twitter_misc":{"Estimasi waktu membaca":"6 menit"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/skills.visual-paradigm.com\/id\/docs\/how-to-perform-root-cause-analysis-with-fishbone-diagram\/root-cause-analysis-case-studies\/manufacturing-rca-example-machine-downtime\/","url":"https:\/\/skills.visual-paradigm.com\/id\/docs\/how-to-perform-root-cause-analysis-with-fishbone-diagram\/root-cause-analysis-case-studies\/manufacturing-rca-example-machine-downtime\/","name":"Manufacturing RCA Example: Fixing Machine Downtime","isPartOf":{"@id":"https:\/\/skills.visual-paradigm.com\/id\/#website"},"datePublished":"2026-02-25T10:34:55+00:00","description":"Learn how to apply Fishbone diagrams in a real-world manufacturing RCA example to solve machine downtime root cause and prevent recurrence with proven corrective actions.","breadcrumb":{"@id":"https:\/\/skills.visual-paradigm.com\/id\/docs\/how-to-perform-root-cause-analysis-with-fishbone-diagram\/root-cause-analysis-case-studies\/manufacturing-rca-example-machine-downtime\/#breadcrumb"},"inLanguage":"id","potentialAction":[{"@type":"ReadAction","target":["https:\/\/skills.visual-paradigm.com\/id\/docs\/how-to-perform-root-cause-analysis-with-fishbone-diagram\/root-cause-analysis-case-studies\/manufacturing-rca-example-machine-downtime\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/skills.visual-paradigm.com\/id\/docs\/how-to-perform-root-cause-analysis-with-fishbone-diagram\/root-cause-analysis-case-studies\/manufacturing-rca-example-machine-downtime\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/skills.visual-paradigm.com\/id\/"},{"@type":"ListItem","position":2,"name":"How to Perform Root Cause Analysis with Fishbone Diagrams","item":"https:\/\/skills.visual-paradigm.com\/id\/docs\/how-to-perform-root-cause-analysis-with-fishbone-diagram\/"},{"@type":"ListItem","position":3,"name":"Case Studies, Templates, and Advanced Applications","item":"https:\/\/skills.visual-paradigm.com\/id\/docs\/how-to-perform-root-cause-analysis-with-fishbone-diagram\/root-cause-analysis-case-studies\/"},{"@type":"ListItem","position":4,"name":"Manufacturing Case Study: Reducing Machine Downtime"}]},{"@type":"WebSite","@id":"https:\/\/skills.visual-paradigm.com\/id\/#website","url":"https:\/\/skills.visual-paradigm.com\/id\/","name":"Visual Paradigm Skills Indonesia","description":"","publisher":{"@id":"https:\/\/skills.visual-paradigm.com\/id\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/skills.visual-paradigm.com\/id\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"id"},{"@type":"Organization","@id":"https:\/\/skills.visual-paradigm.com\/id\/#organization","name":"Visual Paradigm Skills Indonesia","url":"https:\/\/skills.visual-paradigm.com\/id\/","logo":{"@type":"ImageObject","inLanguage":"id","@id":"https:\/\/skills.visual-paradigm.com\/id\/#\/schema\/logo\/image\/","url":"https:\/\/skills.visual-paradigm.com\/id\/wp-content\/uploads\/sites\/7\/2026\/02\/favicon.svg","contentUrl":"https:\/\/skills.visual-paradigm.com\/id\/wp-content\/uploads\/sites\/7\/2026\/02\/favicon.svg","width":70,"height":70,"caption":"Visual Paradigm Skills Indonesia"},"image":{"@id":"https:\/\/skills.visual-paradigm.com\/id\/#\/schema\/logo\/image\/"}}]}},"_links":{"self":[{"href":"https:\/\/skills.visual-paradigm.com\/id\/wp-json\/wp\/v2\/docs\/1035","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/skills.visual-paradigm.com\/id\/wp-json\/wp\/v2\/docs"}],"about":[{"href":"https:\/\/skills.visual-paradigm.com\/id\/wp-json\/wp\/v2\/types\/docs"}],"author":[{"embeddable":true,"href":"https:\/\/skills.visual-paradigm.com\/id\/wp-json\/wp\/v2\/users\/1"}],"version-history":[{"count":0,"href":"https:\/\/skills.visual-paradigm.com\/id\/wp-json\/wp\/v2\/docs\/1035\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/skills.visual-paradigm.com\/id\/wp-json\/wp\/v2\/docs\/1034"}],"wp:attachment":[{"href":"https:\/\/skills.visual-paradigm.com\/id\/wp-json\/wp\/v2\/media?parent=1035"}],"wp:term":[{"taxonomy":"doc_tag","embeddable":true,"href":"https:\/\/skills.visual-paradigm.com\/id\/wp-json\/wp\/v2\/doc_tag?post=1035"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}