{"id":8870,"date":"2024-01-26T09:44:01","date_gmt":"2024-01-26T08:44:01","guid":{"rendered":"https:\/\/blog.mtm.org\/?p=8870"},"modified":"2024-01-29T10:52:04","modified_gmt":"2024-01-29T09:52:04","slug":"mtm-analysis-fast-and-easy","status":"publish","type":"post","link":"https:\/\/blog.mtm.org\/?p=8870&lang=en","title":{"rendered":"MTM Analysis \u2013 Fast and Easy"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"8870\" class=\"elementor elementor-8870\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-ff13918 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ff13918\" data-element_type=\"section\" data-e-type=\"section\">\r\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-thegem\"><div class=\"elementor-row\">\r\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-4a3bbfb\" data-id=\"4a3bbfb\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6a6d025 flex-horizontal-align-default flex-horizontal-align-tablet-default flex-horizontal-align-mobile-default flex-vertical-align-default flex-vertical-align-tablet-default flex-vertical-align-mobile-default elementor-widget elementor-widget-text-editor\" data-id=\"6a6d025\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-text-editor elementor-clearfix\">\r\n\t\t\t\t\t\t<p>&#8222;Human-centered execution analysis of manual motion sequences using motion capturing and artificial intelligence&#8220; &#8211; HAawAI for short &#8211; is the name of a research project in which the RIF Institute for Research and Transfer e. V. and the MTM ASSOCIATION e. V. have been working together for almost a year. At the last meeting at the Institute for Production Systems of the TU Dortmund, the partners presented the current project status to interested companies from the manufacturing industry. The focus is on the analysis (time and ergonomics) of manual assembly processes using digitally captured motion data. The goal is to make work planning significantly more efficient. MTM analysis &#8211; fast and easy.<\/p>\n<h6>More efficiency with motion capturing, machine learning and MTM-HWD<sup>\u00ae<\/sup><\/h6>\n<p>Planning manual work processes requires specialist knowledge, experience and a lot of time &#8211; a major hurdle for many companies. The HAawAI research project aims to enable manufacturing companies to analyze workstations and process steps in a (partially) automated manner &#8211; even without major contact with ergonomics and time management or extensive training measures. This is made possible by generating motion data using motion capturing and analyzing this data using machine learning methods based on the rule conformity of the MTM-HWD<sup>\u00ae <\/sup>(Human Work Design) process building block system. MTM-HWD<sup>\u00ae<\/sup> combines methodical and ergonomic work design in a single step for the first time and opens up a new era of efficient work design.<\/p>\n<p>The <strong>contact person<\/strong> for the HAwaAI project at the MTM Institute is <br>Dr. Martin Benter, Team Leader Digitalization &amp; Automation of MTM Methods, <br>e-mail: <a href=\"mailto:martin.benter@mtm.org\">martin.benter@mtm.org<\/a><\/p>\n<p><\/p>\n<p>Another current research project at the MTM Institute is HWS (Hybrid Work Systems). The project is concerned with interoperation and interfaces in digital ecosystems, through which industrial companies are connected both vertically (from the ERP system to the industrial workplace) and horizontally (e. g. via digital platforms) and can therefore use services as well as exchange production data with each other. Contact person for this research project is Dr. Martin Benter.<\/p>\n<h6><strong><p><\/p>\n<\/strong><p><strong><\/strong><\/p><\/h6>\n<p><!--[endif]--><\/p>\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div><\/div>\r\n\t\t<\/section>\r\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Planning manual work processes requires specialist knowledge, experience and a lot of time &#8211; a major hurdle for many companies. The HAawAI research project aims to enable manufacturing companies to analyze workstations and process steps (partially) automatically and thus make work planning even more efficient.<\/p>\n","protected":false},"author":5,"featured_media":8793,"comment_status":"closed","ping_status":"open","sticky":false,"template":"single-fullwidth.php","format":"standard","meta":{"footnotes":""},"categories":[130],"tags":[821,737,782,768,330,823,199,822,820,470,783],"class_list":["post-8870","post","type-post","status-publish","format-standard","has-post-thumbnail","category-innovation","tag-forschung-en","tag-forschung","tag-human-work-design","tag-increasing-efficiency","tag-industrial-engineering-en","tag-manufacturing-industry","tag-mtm-en","tag-mtm-analysis","tag-mtm-analyse-en","tag-prozessoptimierung-en","tag-work-planning"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>MTM Analysis \u2013 Fast and Easy - MTM ASSOCIATION e. 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