{"id":94259,"date":"2021-06-15T12:00:00","date_gmt":"2021-06-15T12:00:00","guid":{"rendered":"https:\/\/industry-science.com\/?post_type=article&#038;p=94259"},"modified":"2024-04-16T16:32:58","modified_gmt":"2024-04-16T14:32:58","slug":"modeling-the-usage-of-knowledge-for-industry-4-0","status":"publish","type":"article","link":"https:\/\/industry-science.com\/en\/articles\/modeling-the-usage-of-knowledge-for-industry-4-0\/","title":{"rendered":"Modeling the Usage of Knowledge for Industry 4.0"},"content":{"rendered":"<hr>\n<div class=\"gito-pub-content-bibliography\">\n<h2>Bibliography <\/h2>\n[1] Teichmann, M. u. a.: Mobile IIoT-Technologien in hybriden Lernfabriken. Industrie 4.0 Management 34 (2018) 3, S. 21-24.<br \/>\n[2] Sp\u00f6tl, G.; Gorldt, C.; Windelband, L.; Grantz, T.; Richter, T.: Industrie 4.0 \u2013 Auswirkungen auf Aus- und Weiterbildung in der M+E Industrie. M\u00fcnchen 2016.<br \/>\n[3] Baum, G.; Borcherding, H.; Broy, M.; Eigner, M.; Huber, A.; Kohler, H.; Russwurm, S.; St\u00fcmpfle, M.: Industrie 4.0: Beherrschung der industriellen Komplexit\u00e4t mit SysLM. Wiesbaden 2013.<br \/>\n[4] Gronau, N.: Enzyklopaedie der Wirtschaftsinformatik \u2013 Industrie 4.0. 2014. URL: www.enzyklopaedie-der-wirt- schaftsinformatik.de\/wi-enzyklopaedie\/lexikon\/ informationssysteme\/Sektorspezifische-Anwendungssysteme\/cyber-physische-systeme\/industrie-4.0, Abrufdatum 04.06.2020.<br \/>\n[5] Bettenhausen, K.: Erfolgsfaktoren Industrie 4.0: Qualifikation, Geschwindigkeit und Infrastruktur. Baden-Baden 2014.<br \/>\n[6] Hergesell, M.: Mit Apps auf dem Milkrun In: WITTENSTEIN bastian (be)lebt Industrie 4.0, Wittenstein AG &#8211; Kundenma- gazin move, Nr. 13 (2014), S. 12-17.<br \/>\n[7] Davenport, T. H.; Prusak, L.: Working knowledge: How organizations manage what they know. Boston 1998.<br \/>\n[8] Gronau, N.: Wissen prozessorientiert managen. M\u00fcnchen 2009.<br \/>\n[9] Polanyi,M.:Thetacitdimension. Glocester, USA 1966.<br \/>\n[10] Nonaka, I.; Takeuchi, H.: The knowledge creating compa- ny: how Japanese companies create the dynamics of innovation. New York 1995.<br \/>\n[11] Gronau, N.: Der Einfluss von Cyber-Physical Systems auf die Gestaltung von Produktionssystemen. In: Industrie Management 31 (2015) 3, S. 16-20.<br \/>\n[12] Turing, A. M.: Computing machinery and intelligence. Mind 1950.<br \/>\n[13] Gronau, N.: Handbuch Prozessorientiertes Wissensmanagement: Methoden und Praxis. Berlin 2014.<br \/>\n[14] Renzl, B.: Zentrale Aspekte des Wissensbegriffs \u2013 Kernelemente der Organisation von Wissen. In: Wyssusek, B. (Hrsg): Wissensmanagement komplex. Perspektiven und soziale Praxis. Berlin 2004.<br \/>\n[15] Faber, S.: Entwicklung eines integrativen Referenzmodells f\u00fcr das Wissensmanagement in Unternehmen. Frankfurt am Main 2007.<br \/>\n[16] Reh\u00e4user, J.; Krcmar, H.: Wissensmanagement im Unternehmen. In: Schrey\u00f6gg, G.; Conrad, P. (Hrsg): Managementforschung 6: Wissensmanagement. Berlin 1996.<br \/>\n[17] Gronau, N.; Fr\u00f6ming, J.: KMDL \u2013 Eine semiformale Beschrei- bungssprache zur Modellierung von Wissenskonversionen. Wirtschaftsinformatik 48 (2006) 5, S. 349-360.<br \/>\n[18] Windt, K.; Knollmann, M.; Meyer, M.: Anwendung von Data Mining Methoden zur Wissensgenerierung in der Logistik \u2013 Kritische Reflexion der Analysef\u00e4higkeit zur Termintreueverbesserung. In: Spath, D. (Hrsg): Wissensarbeit &#8211; Zwischen strengen Prozessen und kreativem Spielraum. Berlin 2011.<br \/>\n[19] Freitag, M.; K\u00fcck, M.; Ait Alla, A.; L\u00fctjen, M.: Potenziale von Data Science in Produktion und Logistik. Teil 1 \u2013 Eine Ein- f\u00fchrung in aktuelle Ans\u00e4tze der Data Science. In: Industrie Management 5 (2015), S. 22-26.<br \/>\n[20] Gronau, N.: Knowledge Modeling and Description Language 3.0. Eine Einf\u00fchrung. Berlin 2020.<\/div>\n<div id=\"download-section\" class=\"gito-pub-download-section\" style=\"text-align:center;margin:20px;\">\n<h2>Your downloads<\/h2>\n<p><button style=\"font-size:14px;margin-right:15px;\" class=\"button gito-pub-cpt-download-button\" data-postid=\"94259\" data-userid =\"0\" data-filename=\"gronau_Modellieren-des-Umgangs-mit-Wissen-fuer-Industrie40-IM_3-2021.pdf\"><span style=\"margin-top:5px !important;\" class=\"dashicons dashicons-download\"><\/span>&nbsp;&nbsp;PDF<\/button><\/div>\n<div class=\"gito-pub-tags-social-share\" style=\"display:flex;justify-content:space-between;\"><div>Tags: <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/business-process-modeling\/\">business process modeling<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/kmdl-en\/\">KMDL\u00ae<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/kmdl\/\">KMDL\u00ae<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/machine-learning\/\">machine learning<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/training\/\">Training<\/a><\/span> <\/div><div><div class=\"social-icons share-icons share-row relative\" ><a href=\"whatsapp:\/\/send?text=Modeling%20the%20Usage%20of%20Knowledge%20for%20Industry%204.0 - https:\/\/industry-science.com\/en\/articles\/modeling-the-usage-of-knowledge-for-industry-4-0\/\" data-action=\"share\/whatsapp\/share\" class=\"icon button circle is-outline tooltip whatsapp show-for-medium\" title=\"Share on WhatsApp\" aria-label=\"Share on WhatsApp\"><i class=\"icon-whatsapp\" aria-hidden=\"true\"><\/i><\/a><a href=\"https:\/\/www.facebook.com\/sharer.php?u=https:\/\/industry-science.com\/en\/articles\/modeling-the-usage-of-knowledge-for-industry-4-0\/\" data-label=\"Facebook\" onclick=\"window.open(this.href,this.title,'width=500,height=500,top=300px,left=300px'); 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return false;\" target=\"_blank\" class=\"icon button circle is-outline tooltip linkedin\" title=\"Share on LinkedIn\" aria-label=\"Share on LinkedIn\" rel=\"noopener nofollow\"><i class=\"icon-linkedin\" aria-hidden=\"true\"><\/i><\/a><\/div><\/div><\/div><hr style=\"margin-top:0px;\">\n<h2 class=\"gito-pub-frontend-post-headline\">You might also be interested in<\/h2>\n<!-- GITO_PUB_POST start flex-container -->\n<div class=\"gito-pub-flex-container\">\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/serious-games-as-a-training-tool\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/04\/Lange_AdobeStock_734724963_alexkich-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/04\/Lange_AdobeStock_734724963_alexkich-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/04\/Lange_AdobeStock_734724963_alexkich-196x180.webp\" alt=\"Serious Games as a Training Tool\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Serious Games as a Training Tool\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Serious Games as a Training Tool<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Game mechanics design to promote resilience<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"\/authors\/annika-lange\/\">Annika Lange<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-4514-9306\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"\/authors\/thomas-knothe\/\">Thomas Knothe<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-3055-7155\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     <div class=\"gito-pub-frontend-post-card-abo-sign gito-pub-login-register-link\" data-targetabo=\"expert\" data-targeturl=\"https:\/\/industry-science.com\/en\/articles\/serious-games-as-a-training-tool\/\" title=\"please login or register - content can only be read in its entirety with a subscription  expert\">\n\t\t\t                         <img decoding=\"async\" src=\"https:\/\/industry-science.com\/wp-content\/plugins\/gito-publisher\/img\/i4s-login.png\">\n\t\t\t                      <\/div>Unforeseen events are increasingly challenging manufacturing companies. Being resilient during crises is becoming a key competence. Serious games (SG) can help make resilience-building processes more transparent. This article derives specific requirements for SG from different phases of resilience and shows how these can be implemented in game mechanics in order to effectively support the training of resilience.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 2 | Pages 98-104<\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/from-brownfield-to-industry-4-0\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/04\/voelker-640x325.jpg\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/04\/voelker-196x180.jpg\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/04\/voelker-196x180.jpg\" alt=\"From Brownfield to Industry 4.0\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"From Brownfield to Industry 4.0\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">From Brownfield to Industry 4.0<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Learning factories as training and testing environment for digital transformation<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"\/authors\/jakob-weber\/\">Jakob Weber<\/a>, <a href=\"\/authors\/sven-voelker\/\">Sven V\u00f6lker<\/a> <a href=\"https:\/\/orcid.org\/0009-0000-9707-1478\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     <div class=\"gito-pub-frontend-post-card-abo-sign gito-pub-login-register-link\" data-targetabo=\"expert\" data-targeturl=\"https:\/\/industry-science.com\/en\/articles\/from-brownfield-to-industry-4-0\/\" title=\"please login or register - content can only be read in its entirety with a subscription  expert\">\n\t\t\t                         <img decoding=\"async\" src=\"https:\/\/industry-science.com\/wp-content\/plugins\/gito-publisher\/img\/i4s-login.png\">\n\t\t\t                      <\/div>To succeed in their digital transformation, manufacturing companies need engineers with in-depth knowledge of key technologies and concepts, and a profound understanding of the transition from Industry 3.0 to Industry 4.0. This article describes the concept of a learning factory that is continuously subjected to a digital transformation, thereby creating an environment for the development of transformation competencies. The concept of digital transformation is based on digital worker assistance systems and multi-agent systems for production control. These enable the incremental integration of existing resources into the digitalized factory. The learning factory is not presented to students as a completed solution. Instead, it is continuously developed further as part of student projects. This way, it contributes directly to the qualification of personnel for the implementation of Industry 4.0.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 2 | Pages 88-96<\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/ai-colleagues\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/04\/Franken_titel-640x325.jpg\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/04\/Franken_titel-196x180.jpg\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/04\/Franken_titel-196x180.jpg\" alt=\"AI Colleagues?\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"AI Colleagues?\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">AI Colleagues?<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Competence requirements and training for AI use in industry<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"\/authors\/swetlana-franken-en\/\">Swetlana Franken<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-9991-3015\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     <div class=\"gito-pub-frontend-post-card-abo-sign gito-pub-login-register-link\" data-targetabo=\"expert\" data-targeturl=\"https:\/\/industry-science.com\/en\/articles\/ai-colleagues\/\" title=\"please login or register - content can only be read in its entirety with a subscription  expert\">\n\t\t\t                         <img decoding=\"async\" src=\"https:\/\/industry-science.com\/wp-content\/plugins\/gito-publisher\/img\/i4s-login.png\">\n\t\t\t                      <\/div>Artificial intelligence is fundamentally changing tasks, roles, and skills in (industrial) companies. Increasingly, it acts as a colleague, preparing decisions, supporting processes, and interacting with people. This article highlights key competence requirements for AI use in industry, presents an integrated competence model, and outlines practical strategies for the transfer of skills. The aim is to prepare companies and employees for humane, competence-oriented AI implementation that combines technological efficiency with human creativity and judgment.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 2 | Pages 78-86<\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/tachaid-ethical-ai\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/Rath_AdobeStock_629687249_everythingpossible-640x325.jpg\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/Rath_AdobeStock_629687249_everythingpossible-196x180.jpg\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/Rath_AdobeStock_629687249_everythingpossible-196x180.jpg\" alt=\"Operationalizing Ethical AI with tachAId\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Operationalizing Ethical AI with tachAId\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Operationalizing Ethical AI with tachAId<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Validating an interactive advisory tool in two manufacturing use cases<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"\/authors\/pavlos-rath-manakidis\/\">Pavlos Rath-Manakidis<\/a>, <a href=\"\/authors\/henry-huick\/\">Henry Huick<\/a>, <a href=\"\/authors\/bjoern-kraemer\/\">Bj\u00f6rn Kr\u00e4mer<\/a> <a href=\"https:\/\/orcid.org\/0009-0004-4659-012X\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"\/authors\/laurenz-wiskott\/\">Laurenz Wiskott<\/a> <a href=\"https:\/\/orcid.org\/0000-0001-6237-740X\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     Integrating artificial intelligence (AI) into workplace processes promises significant efficiency gains, yet organizations face numerous ethical challenges that stakeholders are often initially unaware of\u2014from opacity in decision-making to algorithmic bias and premature automation risks. This paper presents the design and validation of tachAId, an interactive advisory tool aimed at embedding human-centered ethical considerations into the development of AI solutions. It reports on a validation study conducted across two distinct industrial AI applications with varying AI maturity. tachAId successfully directs attention to critical ethical considerations across the AI solution lifecycle that might be overlooked in technically-focused development. However, the findings also reveal a central tension: while effective in raising awareness, the tool\u2019s non-linear design creates significant usability challenges, indicating a user preference for more structured, linear guidance, especially ...                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 1 | Pages 50-59 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.1.48\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.1.48<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/ai-industrial-quality-control\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/01\/Uenal_AdobeStock_1653851064_Stock-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/01\/Uenal_AdobeStock_1653851064_Stock-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/01\/Uenal_AdobeStock_1653851064_Stock-196x180.webp\" alt=\"AI Implementation in Industrial Quality Control\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"AI Implementation in Industrial Quality Control\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">AI Implementation in Industrial Quality Control<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">A design science approach bridging technical and human factors<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"\/authors\/erdi-unal\/\">Erdi \u00dcnal<\/a> <a href=\"https:\/\/orcid.org\/0009-0007-2809-030X\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"\/authors\/kathrin-nauth\/\">Kathrin Nauth<\/a> <a href=\"https:\/\/orcid.org\/0009-0007-3457-102X\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"\/authors\/pavlos-rath-manakidis\/\">Pavlos Rath-Manakidis<\/a>, <a href=\"\/authors\/jens-poeppelbuss\/\">Jens P\u00f6ppelbu\u00df<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-4960-7818\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"\/authors\/felix-hoenig\/\">Felix Hoenig<\/a>, <a href=\"\/authors\/christian-meske\/\">Christian Meske<\/a> <a href=\"https:\/\/orcid.org\/0000-0001-5637-9433\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     Artificial intelligence (AI) offers significant potential to enhance industrial quality control, yet successful implementation requires careful consideration of ethical and human factors. This article examines how automated surface inspection systems can be deployed to augment human capabilities while ensuring ethical integration into workflows. Through design science research, twelve stakeholders from six organizations across three continents are interviewed and twelve sociotechnical design requirements are derived. These are organized into pre-implementation and implementation\/operation phases, addressing human agency, employee participation, and responsible knowledge management. Key findings include the critical importance of meaningful employee participation during pre-implementation, and maintaining human agency through experiential learning, building on existing expertise. This research contributes to ethical AI workplace implementation by providing guidelines that preserve human ...                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 1 | Pages 120-127 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.1.112\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.1.112<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/ai-assembly-workplace-design\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/Tuli_AdobeStock_1665432467_Grispb-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/Tuli_AdobeStock_1665432467_Grispb-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/Tuli_AdobeStock_1665432467_Grispb-196x180.webp\" alt=\"Applied AI for Human-Centric Assembly Workplace Design\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Applied AI for Human-Centric Assembly Workplace Design\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Applied AI for Human-Centric Assembly Workplace Design<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">An ethics-informed approach<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"\/authors\/tadele-belay-tuli\/\">Tadele Belay Tuli<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-6769-0646\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"\/authors\/michael-jonek\/\">Michael Jonek<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-2489-6991\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"\/authors\/sascha-niethammer\/\">Sascha Niethammer<\/a>, <a href=\"\/authors\/henning-vogler\/\">Henning Vogler<\/a>, <a href=\"\/authors\/martin-manns\/\">Martin Manns<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-1027-4465\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     Artificial intelligence (AI) can enhance smart assembly by predicting human motion and adapting workplace design. Using probabilistic models such as Gaussian Mixture Models (GMMs), AI systems anticipate operator actions to improve coordination with robots. However, these predictive systems raise ethical concerns related to safety, fairness, and privacy under the EU AI Act, which classifies them as high-risk. This paper presents a conceptual method integrating probabilistic motion modeling with ethical evaluation via Z-Inspection\u00ae. An industrial case study using the Smart Work Assistant (SWA) demonstrates how multimodal sensing (motion, gaze) and interpretable models enable anticipatory assistance. The approach moves from ethics evaluation to ethics-informed work design, yielding transferable principles and a configurable assessment matrix that supports compliance-by-design in collaborative assembly.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 1 | Pages 60-68 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.1.58\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.1.58<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n<\/div>\n<!-- GITO_PUB_POST end flex-container -->\n","protected":false},"excerpt":{"rendered":"<p>This paper describes an analysis and design method for knowledge management integrating man and machine in the age of the 4th Industrial revolution (Industry 4.0). Digitized work p rocesses require employees in an Industry 4.0 environment to have the competence to adequately deal with fluid situations on the basis of their own knowledge and the ability to place this knowledge in situation-specific contexts. To this end, the development of a comprehensive understanding of processes is elementary.<\/p>\n","protected":false},"featured_media":96055,"menu_order":0,"template":"","categories":[79167,79168,4713,79298],"tags":[77996,84354,70096,71303,71062],"product_cat":[],"topic":[68206],"technology":[67599,68059],"knowhow":[],"industry":[],"writer":[80397],"content-type":[],"potential":[],"solution":[],"glossary":[],"class_list":{"0":"post-94259","1":"article","2":"type-article","3":"status-publish","4":"has-post-thumbnail","6":"category-design-en","7":"category-translate-en","8":"category-translate","9":"category-typeset","10":"tag-business-process-modeling","11":"tag-kmdl-en","12":"tag-kmdl","13":"tag-machine-learning","14":"tag-training","15":"topic-industry-4-0","16":"technology-analytics-en","17":"technology-training","18":"writer-norbert-gronau-en","19":"product","20":"first","21":"instock","22":"downloadable","23":"virtual","24":"sold-individually","25":"taxable","26":"purchasable","27":"product-type-article"},"uagb_featured_image_src":{"full":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/gronau_Modellieren-des-Umgangs-mit-Wissen-fuer-Industrie40-IM_3-2021-1400x788.jpg",1400,788,false],"thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/gronau_Modellieren-des-Umgangs-mit-Wissen-fuer-Industrie40-IM_3-2021-1400x788-150x150.jpg",150,150,true],"medium":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/gronau_Modellieren-des-Umgangs-mit-Wissen-fuer-Industrie40-IM_3-2021-1400x788-666x375.jpg",666,375,true],"medium_large":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/gronau_Modellieren-des-Umgangs-mit-Wissen-fuer-Industrie40-IM_3-2021-1400x788-768x432.jpg",768,432,true],"large":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/gronau_Modellieren-des-Umgangs-mit-Wissen-fuer-Industrie40-IM_3-2021-1400x788-1024x576.jpg",1020,574,true],"front-page-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/gronau_Modellieren-des-Umgangs-mit-Wissen-fuer-Industrie40-IM_3-2021-1400x788-1032x320.jpg",1032,320,true],"post-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/gronau_Modellieren-des-Umgangs-mit-Wissen-fuer-Industrie40-IM_3-2021-1400x788-764x376.jpg",764,376,true],"post-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/gronau_Modellieren-des-Umgangs-mit-Wissen-fuer-Industrie40-IM_3-2021-1400x788-392x320.jpg",392,320,true],"post-teaser-mobile":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/gronau_Modellieren-des-Umgangs-mit-Wissen-fuer-Industrie40-IM_3-2021-1400x788-608x496.jpg",608,496,true],"post-custom-size":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/gronau_Modellieren-des-Umgangs-mit-Wissen-fuer-Industrie40-IM_3-2021-1400x788-640x325.jpg",640,325,true],"whitepaper-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/gronau_Modellieren-des-Umgangs-mit-Wissen-fuer-Industrie40-IM_3-2021-1400x788-274x376.jpg",274,376,true],"card-big":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/gronau_Modellieren-des-Umgangs-mit-Wissen-fuer-Industrie40-IM_3-2021-1400x788-514x292.jpg",514,292,true],"card-portrait":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/gronau_Modellieren-des-Umgangs-mit-Wissen-fuer-Industrie40-IM_3-2021-1400x788-320x440.jpg",320,440,true],"card-big-company":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/gronau_Modellieren-des-Umgangs-mit-Wissen-fuer-Industrie40-IM_3-2021-1400x788-514x289.jpg",514,289,true],"gp-listing":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/gronau_Modellieren-des-Umgangs-mit-Wissen-fuer-Industrie40-IM_3-2021-1400x788-196x180.jpg",196,180,true],"1536x1536":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/gronau_Modellieren-des-Umgangs-mit-Wissen-fuer-Industrie40-IM_3-2021-1400x788.jpg",1400,788,false],"2048x2048":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/gronau_Modellieren-des-Umgangs-mit-Wissen-fuer-Industrie40-IM_3-2021-1400x788.jpg",1400,788,false],"woocommerce_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/gronau_Modellieren-des-Umgangs-mit-Wissen-fuer-Industrie40-IM_3-2021-1400x788-510x510.jpg",510,510,true],"woocommerce_single":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/gronau_Modellieren-des-Umgangs-mit-Wissen-fuer-Industrie40-IM_3-2021-1400x788-510x287.jpg",510,287,true],"woocommerce_gallery_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/gronau_Modellieren-des-Umgangs-mit-Wissen-fuer-Industrie40-IM_3-2021-1400x788-100x100.jpg",100,100,true],"dgwt-wcas-product-suggestion":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/gronau_Modellieren-des-Umgangs-mit-Wissen-fuer-Industrie40-IM_3-2021-1400x788-64x36.jpg",64,36,true]},"uagb_author_info":{"display_name":"Christoph Brocks","author_link":"https:\/\/industry-science.com\/en\/author\/"},"uagb_comment_info":0,"uagb_excerpt":"This paper describes an analysis and design method for knowledge management integrating man and machine in the age of the 4th Industrial revolution (Industry 4.0). Digitized work p rocesses require employees in an Industry 4.0 environment to have the competence to adequately deal with fluid situations on the basis of their own knowledge and the&hellip;","_links":{"self":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/article\/94259","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/article"}],"about":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/types\/article"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/media\/96055"}],"wp:attachment":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/media?parent=94259"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/categories?post=94259"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/tags?post=94259"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/product_cat?post=94259"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/topic?post=94259"},{"taxonomy":"technology","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/technology?post=94259"},{"taxonomy":"knowhow","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/knowhow?post=94259"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/industry?post=94259"},{"taxonomy":"writer","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/writer?post=94259"},{"taxonomy":"content-type","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/content-type?post=94259"},{"taxonomy":"potential","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/potential?post=94259"},{"taxonomy":"solution","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/solution?post=94259"},{"taxonomy":"glossary","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/glossary?post=94259"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}