{"id":8199,"date":"2026-07-28T13:33:51","date_gmt":"2026-07-28T11:33:51","guid":{"rendered":"https:\/\/peerox.admo.cloud\/presse\/reduced-onboarding-time-in-production\/"},"modified":"2026-08-20T14:36:14","modified_gmt":"2026-08-20T12:36:14","slug":"reduced-onboarding-time-in-production","status":"publish","type":"pressemitteilung","link":"https:\/\/peerox.admo.cloud\/en\/presse\/reduced-onboarding-time-in-production\/","title":{"rendered":"Reduced onboarding time in production"},"content":{"rendered":"\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.chemietechnik.de\/anlagentechnik\/weniger-einarbeitungszeit-in-der-produktion\/1919553\" data-type=\"link\" data-id=\"https:\/\/www.chemietechnik.de\/anlagentechnik\/weniger-einarbeitungszeit-in-der-produktion\/1919553\" target=\"_blank\" rel=\"noopener\">The technical article in Chemie Technik<\/a> describes how experiential knowledge in production can be digitized using our self-learning assistance system, MADDOX. The functionality is explained: in the event of production disruptions, MADDOX automatically suggests relevant knowledge entries and learns through user feedback. The article addresses specific effects\u2014such as the reduction of micro-stops and shorter onboarding times\u2014and cites the application at Bayer in Leverkusen as a reference. An overview of how a knowledge management system can be implemented in practice. <a href=\"https:\/\/www.chemietechnik.de\/anlagentechnik\/weniger-einarbeitungszeit-in-der-produktion\/1919553\" data-type=\"link\" data-id=\"https:\/\/www.chemietechnik.de\/anlagentechnik\/weniger-einarbeitungszeit-in-der-produktion\/1919553\" target=\"_blank\" rel=\"noopener\">Read now<\/a>.   <\/p>\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The technical article in Chemie Technik describes how experiential knowledge in production can be digitized using our self-learning assistance system, MADDOX. The functionality is explained: in the event of production disruptions, MADDOX automatically suggests relevant knowledge entries and learns through user feedback. The article addresses specific effects\u2014such as the reduction of micro-stops and shorter onboarding [&hellip;]<\/p>\n","protected":false},"author":8,"featured_media":8108,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"presse-kategorie":[48],"class_list":["post-8199","pressemitteilung","type-pressemitteilung","status-publish","format-standard","has-post-thumbnail","hentry","presse-kategorie-article"],"acf":[],"_links":{"self":[{"href":"https:\/\/peerox.admo.cloud\/en\/wp-json\/wp\/v2\/pressemitteilung\/8199","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/peerox.admo.cloud\/en\/wp-json\/wp\/v2\/pressemitteilung"}],"about":[{"href":"https:\/\/peerox.admo.cloud\/en\/wp-json\/wp\/v2\/types\/pressemitteilung"}],"author":[{"embeddable":true,"href":"https:\/\/peerox.admo.cloud\/en\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/peerox.admo.cloud\/en\/wp-json\/wp\/v2\/comments?post=8199"}],"version-history":[{"count":1,"href":"https:\/\/peerox.admo.cloud\/en\/wp-json\/wp\/v2\/pressemitteilung\/8199\/revisions"}],"predecessor-version":[{"id":8200,"href":"https:\/\/peerox.admo.cloud\/en\/wp-json\/wp\/v2\/pressemitteilung\/8199\/revisions\/8200"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/peerox.admo.cloud\/en\/wp-json\/wp\/v2\/media\/8108"}],"wp:attachment":[{"href":"https:\/\/peerox.admo.cloud\/en\/wp-json\/wp\/v2\/media?parent=8199"}],"wp:term":[{"taxonomy":"presse-kategorie","embeddable":true,"href":"https:\/\/peerox.admo.cloud\/en\/wp-json\/wp\/v2\/presse-kategorie?post=8199"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}