{"id":15949,"date":"2020-12-21T09:00:00","date_gmt":"2020-12-21T17:00:00","guid":{"rendered":"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/?p=15949"},"modified":"2020-12-17T08:12:12","modified_gmt":"2020-12-17T16:12:12","slug":"the-role-of-machine-learning-in-industrial-automation","status":"publish","type":"post","link":"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/the-role-of-machine-learning-in-industrial-automation\/","title":{"rendered":"The Role of Machine Learning in Industrial Automation"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"614\" src=\"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/bigstock-automatic-machine-tool-in-indu-364131451-1-1024x614.jpg\" alt=\"automated-industrial-robot\" class=\"wp-image-15951\" srcset=\"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/bigstock-automatic-machine-tool-in-indu-364131451-1-1024x614.jpg 1024w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/bigstock-automatic-machine-tool-in-indu-364131451-1-300x180.jpg 300w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/bigstock-automatic-machine-tool-in-indu-364131451-1-768x461.jpg 768w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/bigstock-automatic-machine-tool-in-indu-364131451-1-1536x922.jpg 1536w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/bigstock-automatic-machine-tool-in-indu-364131451-1-2048x1229.jpg 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>These days, most professionals are trying to accomplish tasks faster than ever before. An invigorated focus on efficiency and proactivity has been the impetus for this shift. While traditional industries aren\u2019t eliminating the human element from the equation, many are looking to strategically offload certain tasks. Machine learning adoption is thus becoming a differentiator between companies. But how exactly does automated machine learning tie into <a href=\"https:\/\/www.cognex.com\/blogs\/deep-learning\/ai-versus-deep-learning-versus-machine-learning-in-industrial-automation\" target=\"_blank\" rel=\"noreferrer noopener\">industrial automation<\/a> today? What use cases does it have in the real world?<\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"how-machine-learning-works\">How Machine Learning Works<\/h2>\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"674\" src=\"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/bigstock-Ai-Learning-And-Artificial-Int-328831249-1024x674.jpg\" alt=\"ai-machine-learning-graphic\" class=\"wp-image-15952\" srcset=\"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/bigstock-Ai-Learning-And-Artificial-Int-328831249-1024x674.jpg 1024w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/bigstock-Ai-Learning-And-Artificial-Int-328831249-300x197.jpg 300w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/bigstock-Ai-Learning-And-Artificial-Int-328831249-768x506.jpg 768w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/bigstock-Ai-Learning-And-Artificial-Int-328831249-1536x1011.jpg 1536w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/bigstock-Ai-Learning-And-Artificial-Int-328831249-2048x1348.jpg 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>Machine learning is a subset of <a href=\"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/machine-learning-vs-artificial-intelligence-understanding-the-differences\/\">artificial intelligence<\/a> and is an algorithmic framework that learns automatically from experience. This experience stems from the data that machine learning models analyze at any given time. Companies with customer databases or online systems use machine learning to make sense of the information they have, making it easier to determine patterns or make predictions. Machine learning thus helps companies understand the mountains of data they have.<\/p>\n\n\n\n<p>Since machine learning was designed to work with computers, it can be an ideal sidekick in the push for manufacturing\u2019s digitalization. Teams are harnessing the technology to help automate a variety of processes. Overall, global industrial players are aiming to boost the productivity of their facilities. This happens when workers are freed up to tackle other projects.&nbsp;<\/p>\n\n\n\n<p>Let\u2019s take a closer look at how industrial automation benefits from machine learning.&nbsp;<\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"better-maintenance-planning\">Better Maintenance Planning<\/h2>\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/bigstock-Robotic-vision-sensor-camera-s-365951185-1024x683.jpg\" alt=\"factory-floor-machine-learning\" class=\"wp-image-15953\" srcset=\"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/bigstock-Robotic-vision-sensor-camera-s-365951185-1024x683.jpg 1024w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/bigstock-Robotic-vision-sensor-camera-s-365951185-300x200.jpg 300w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/bigstock-Robotic-vision-sensor-camera-s-365951185-768x512.jpg 768w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/bigstock-Robotic-vision-sensor-camera-s-365951185-1536x1024.jpg 1536w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/bigstock-Robotic-vision-sensor-camera-s-365951185-2048x1366.jpg 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>Automated machine learning is commonly integrated with computerized machinery in the industrial space. These systems are great conduits through which algorithms can work their automated magic. Traditionally, machinery lacked integration with sophisticated electronics. Maintenance workers accordingly had to perform <em>reactive<\/em> maintenance to keep equipment running. Without access to detailed operations metrics, workers were left in the dark \u2014 not knowing a problem was brewing until it became apparent.<\/p>\n\n\n\n<p><br>Modern, digital industrial equipment has transparency built-in. It\u2019s much easier to monitor multiple machines and keep tabs on performance. Changes in efficiency, output, pressure, and even thermal activity can signal impending issues. We can assign machine learning algorithms to monitor these systems. Models can tell us when a machine is experiencing issues or in danger of encountering problems at certain intervals. Continued learning thus helps machine learning technologies determine <em>predictive<\/em> maintenance schedules. Technicians previously shouldered this burden. Even <a href=\"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/5-questions-to-ask-before-throwing-money-at-your-first-pcb-manufacturer\/\">established manufacturers<\/a> are now riding the <a href=\"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/everything-you-need-to-know-about-adding-iot-to-your-pcb-design\/\">IoT<\/a> wave. These machine learning models can be applied across the factory to assess the health of customized machinery groupings.<\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"increased-production-volumes-and-collaboration\">Increased Production Volumes and Collaboration<\/h2>\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/bigstock-Data-Analysis-For-Business-And-308164243-1024x576.jpg\" alt=\"automated-workflow-machine-learning\" class=\"wp-image-15954\" srcset=\"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/bigstock-Data-Analysis-For-Business-And-308164243-1024x576.jpg 1024w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/bigstock-Data-Analysis-For-Business-And-308164243-300x169.jpg 300w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/bigstock-Data-Analysis-For-Business-And-308164243-768x432.jpg 768w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/bigstock-Data-Analysis-For-Business-And-308164243-1536x864.jpg 1536w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/bigstock-Data-Analysis-For-Business-And-308164243-2048x1152.jpg 2048w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/bigstock-Data-Analysis-For-Business-And-308164243-284x160.jpg 284w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/bigstock-Data-Analysis-For-Business-And-308164243-382x216.jpg 382w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>The industry relies upon securing raw materials, mechanized capital, and other resources essential to production. The steps in the process form what we know as the supply chain. Machine learning models can help companies identify the lowest-hanging fruit \u2014 or the areas ripest for improvement. Shoring up the supply chain ensures higher production, by eliminating pesky delays or extraneous costs. Machine learning can show us where our expenses are stemming from, how scheduling can improve, and how each provider\u2019s role in the chain changes on a daily basis.&nbsp;<\/p>\n\n\n\n<p>Production depends heavily on yield rates. Yields are a function of quality control processes, and how well they detect defective units. This quality-driven dataset is visible to machine learning algorithms, which can suggest pathways for improvement. Where are our problems occurring, and are certain products or batches especially problematic? How can we maximize our inventory? Machine learning can help answer these questions.&nbsp;<\/p>\n\n\n\n<p>The machine learning process is results-driven in that it provides team-agnostic insights that are easy to digest. It\u2019s otherwise quite easy for teams to become siloed in larger facilities\u2014where physical distance and operational breadth force teams to divide and conquer. This isn\u2019t always optimal, especially when problems impact multiple teams. Machine learning gives teams the power to review centralized analytics. This single source of information makes it easier for stakeholders to reach a unified consensus.&nbsp;<\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"machine-learning-and-industrial-automation\">Machine Learning and Industrial Automation<\/h2>\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"622\" src=\"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/workers-5246634_1920-1024x622.jpg\" alt=\"construction-automated-machine-learning\" class=\"wp-image-15955\" srcset=\"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/workers-5246634_1920-1024x622.jpg 1024w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/workers-5246634_1920-300x182.jpg 300w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/workers-5246634_1920-768x467.jpg 768w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/workers-5246634_1920-1536x934.jpg 1536w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2020\/12\/workers-5246634_1920.jpg 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>Industrial automation and machine learning have the same goal: to optimize workflows and remove productivity barriers by automatically handling tedious time-consuming tasks. Machine learning algorithms are adaptive and poised for adjustment in lockstep with the dynamic industrial landscape. A propensity for learning from <a href=\"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/using-the-best-practices-in-cad-data-management\/\">data<\/a> means these algorithms won\u2019t lose effectiveness \u2014 they\u2019ll simply become better over time.&nbsp;<\/p>\n\n\n\n<p>Industry giants and startups alike will enjoy the cost savings and productivity that machine learning can provide. The space is already fiercely competitive, and manufacturers that openly embrace digitalization have the best chance of standing apart from their peers.&nbsp;<\/p>\n\n\n\n<p>The Autodesk Research Team is currently conducting research around <a href=\"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/how-machine-learning-might-help-recover-or-refine-parametric-history\/\">how automated machine learning might help with the optimization<\/a> of 3D model development in Fusion 360, including the potential to recover or refine <a href=\"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/parametric-modeling-in-fusion-360-tutorial\/\">parametric<\/a> history.<\/p>\n\n\n\n<p>Download Fusion 360 to see how our automated processes like parametric modeling and <a href=\"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/generative-design-making-outcomes-easier-to-access\/\">generative design<\/a> can improve your workflow and manufacturing process. <\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><a href=\"https:\/\/www.autodesk.com\/products\/fusion-360\/free-trial\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2018\/05\/Downloadfreetrial-3.png\" alt=\"free-trial\" class=\"wp-image-9421\" width=\"315\" height=\"46\" srcset=\"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2018\/05\/Downloadfreetrial-3.png 315w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2018\/05\/Downloadfreetrial-3-300x44.png 300w\" sizes=\"auto, (max-width: 315px) 100vw, 315px\" \/><\/a><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Industrial automation and machine learning help remove productivity barriers by automatically handling tedious, time-consuming tasks.<\/p>\n","protected":false},"author":4033,"featured_media":15951,"menu_order":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[236],"tags":[203],"coauthors":[],"class_list":["post-15949","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-mechanical-engineering","tag-innovation","dhig-theme--light"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - 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