{"id":2003,"date":"2021-07-14T09:30:00","date_gmt":"2021-07-14T07:30:00","guid":{"rendered":"http:\/\/cirpicme.org\/?page_id=2003"},"modified":"2021-07-13T18:58:21","modified_gmt":"2021-07-13T16:58:21","slug":"requirements-for-manufacturing-data-collection-to-enable-data-driven-design","status":"publish","type":"page","link":"https:\/\/cirpicme.org\/index.php\/cyber-physical-systems-digital-manufacturing\/requirements-for-manufacturing-data-collection-to-enable-data-driven-design\/","title":{"rendered":"Requirements for Manufacturing Data Collection to Enable Data Driven Design"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><em>by <em>Simon Raedler, Juergen Mangler, Eugen Rigger<\/em><\/em> <em>(Austria)<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Abstract<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Manufacturing data from cyber-physical production systems is considered an enabler of data-driven design that supports engineers in reducing lead time and costs. Building on a case study regarding tolerance-based cost estimation of manufacturing features, the contribution of this paper is the derivation of requirements for implementing data-driven design. The results demonstrate that model-based formalisation facilitates data preparation to mitigate the challenge of introducing coherent labels for identification of design features in manufacturing data. Additionally, the application of workflow orchestration is shown to be an enabler for streamlining of data collection based on automated data labelling.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Keywords<\/strong>: Data-driven design, Industry 4.0, Semantic data processing, BPMN<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Video presentation<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-video\"><video height=\"720\" style=\"aspect-ratio: 1280 \/ 720;\" width=\"1280\" controls src=\"http:\/\/cirpicme.org\/wp-content\/uploads\/2021\/06\/Simon_Raedler.mp4\"><\/video><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Presenting author<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table class=\"has-subtle-light-gray-background-color has-background\"><tbody><tr><td><\/td><td><\/td><td><\/td><\/tr><tr><td><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"152\" class=\"wp-image-2442\" style=\"width: 150px;\" src=\"https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2021\/07\/simon_raedler_photo.png?resize=150%2C152\" alt=\"\" srcset=\"https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2021\/07\/simon_raedler_photo.png?w=561&amp;ssl=1 561w, https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2021\/07\/simon_raedler_photo.png?resize=295%2C300&amp;ssl=1 295w, https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2021\/07\/simon_raedler_photo.png?resize=148%2C150&amp;ssl=1 148w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/td><td><strong>Name:<\/strong><br><br><strong>Affiliation:<\/strong><br><br><strong>Email:<\/strong><\/td><td>Simon Raedler<br><br>V-Research GmbH, Dornbirn, Austria<br><br>simon.raedler@v-research.at<\/td><\/tr><tr><td><\/td><td><\/td><td><\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>by Simon Raedler, Juergen Mangler, Eugen Rigger (Austria) Abstract Manufacturing data from cyber-physical production systems is considered an enabler of data-driven design that supports engineers in reducing lead time and costs. Building on a case study regarding tolerance-based cost estimation of manufacturing features, the contribution of this paper is the&#8230;<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/cirpicme.org\/index.php\/cyber-physical-systems-digital-manufacturing\/requirements-for-manufacturing-data-collection-to-enable-data-driven-design\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":4,"featured_media":0,"parent":2349,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"nf_dc_page":"","om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-2003","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/2003","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/comments?post=2003"}],"version-history":[{"count":2,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/2003\/revisions"}],"predecessor-version":[{"id":2443,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/2003\/revisions\/2443"}],"up":[{"embeddable":true,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/2349"}],"wp:attachment":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/media?parent=2003"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}