{"id":93435,"date":"2019-02-15T12:00:00","date_gmt":"2019-02-15T11:00:00","guid":{"rendered":"https:\/\/industry-science.com\/?post_type=article&#038;p=93435"},"modified":"2025-07-31T14:56:27","modified_gmt":"2025-07-31T12:56:27","slug":"digitization-in-engineering-a-procedure-for-the-continuous-work-sharing-modelling-using-the-example-of-automationml","status":"publish","type":"article","link":"https:\/\/industry-science.com\/en\/articles\/digitization-in-engineering-a-procedure-for-the-continuous-work-sharing-modelling-using-the-example-of-automationml\/","title":{"rendered":"Digitization in Engineering"},"content":{"rendered":"<hr>\n<div class=\"gito-pub-content-bibliography\">\n<h2>Bibliography <\/h2>\n[1] Eisele, R.: Konzeption und Wirtschaftlichkeit rechnerintegrierter Planungssysteme, Zugl.: Erlangen-N\u00fcrnberg, Univ., Diss., 1990. M\u00fcnchen 1990.<br \/>\n[2] Sch\u00e4ffer, E.; Bartelt, M.; Pownuk, T.; Schulz, J.-P.; Kuhlenk\u00f6tter, B.; Franke, J.: Configurators as the basis for the transfer of knowledge and standardized communication in the context of robotics. In: Procedia CIRP 72 (2018), S. 310\u201315.<br \/>\n[3] Sch\u00e4ffer, E.; Pownuk, T.; Walberer, J.; Fischer, A.; Schulz, J.- P.; Kleinschnitz, M.; Bartelt, M.; Kuhlenk\u00f6tter, B.; Franke, J.: System architecture and conception of a standardized robot configurator based on microservices. In: Sch\u00fcppstuhl, T.; Tracht, K.; Franke, J. (Hrsg.): Tagungsband des 3. Kongresses Montage Handhabung Industrieroboter. Berlin, Heidel berg 2018.<br \/>\n[4] Gruber, T. R.: A translation approach to portable ontology specifications. In: Knowledge Acquisition 5 (1993) 2, S. 199\u2013 220.<br \/>\n[5] Sch\u00e4ffer, E.; Leibinger, H.; Stamm, A.; Brossog, M.; Franke, J.: Configuration based process and knowledge management by structuring the software landscape of global operating industrial enterprises with Microservices. In: Procedia Manufacturing 24 (2018), S. 86\u201393.<br \/>\n[6] Hua, Y.; Mende, M.; Hein, B.: Modulare und Wandlungsf\u00e4hige Robotersysteme. Modellbasierte Softwareentwicklung basierend auf AutomationML und ontologischer Semantik. In: Industrie 4.0 Management 2017 (2017) 33, S. 33\u201337.<br \/>\n[7] VDI\/VDE-Gesellschaft Messund Automatisierungstechnik: Statusreport: Durchg\u00e4ngiges Engineering in Industrie 4.0-Wertsch\u00f6pfungsketten 2016.<br \/>\n[8] Drath, R.: Datenaustausch in der Anlagenplanung mit AutomationML. Integration von CAEX, PLCopen XML und COLLADA. Berlin Heidelberg 2010.<br \/>\n[9] Biffl, S.; Sabou, M.: Semantic Web Technologies for Intelligent Engineering Applications. Cham 2016.<br \/>\n[10]Bratt, S.: Semantic Web, and Other Technologies to Watch. URL: https:\/\/www. w3.org\/2007\/Talks\/0130-sbW3C TechSemWeb\/#(24). Abrufdatum 22.11.2018.<br \/>\n[11]Bray, T.; Paoli, J.; C. M., S.-M.; Maler, E.; Yergeau, F.; Cowan, J.: Extensible Markup Language (XML) &#8211; Second Edition. Recommendation 16.08.2006, 2. Auflage 2006.<br \/>\n[12]Berners-Lee, T.; Hendler, J.; Lassila, O.: The Semantic Web. In: Scientific American (2001) 284, S. 34\u201343.<br \/>\n[13]W3C OWL Working Group: OWL 2 Web Ontology Language. Document Overview (Second Edition) 2012.<br \/>\n[14]AutomationML e. V: Standardized data exchange in the engineering process of production systems. URL: https:\/\/www.automationml.org\/o.red\/uploads\/ dateien\/1544706233-automationml.pdf. Abrufdatum 22.11.2018.<br \/>\n[15]United Nations Economic Commission for Europe (UNECE): Recommendation No. 20. Codes for Units of Measure used in International Trade 2009.<br \/>\n[16]Deutsche Institut f\u00fcr Normung e. V. (DIN): Datenaustauschformat f\u00fcr Planungsdaten industrieller Automatisierungssysteme &#8211; Automation markup language. Teil 1: Architektur und allgemeine Festlegungen DIN EN 62714-2:2015-11.<br \/>\n[17]Pimmler, T. U.; Eppinger, S. D.: Integration analysis of product decompositions. In: American Society of Mechanical Engineers, Design Engineering Division (Publication) DE 68 (1994), S. 343\u201351.<\/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=\"93435\" data-userid =\"0\" data-filename=\"schaeffer-Digitalisierung-im-Engineering-IM2019-1.pdf\"><span style=\"margin-top:5px !important;\" class=\"dashicons dashicons-download\"><\/span>&nbsp;&nbsp;PDF<\/button><\/div>\n<br>Potentials: <span class=\"gito-pub-tag-element\"><a href=\"\/potentials\/profitability\/\">Profitability<\/a><\/span> <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\/automationml-en\/\">AutomationML<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/standardisierung-en\/\">Standardisierung<\/a><\/span> <\/div><div><div class=\"social-icons share-icons share-row relative\" ><a href=\"whatsapp:\/\/send?text=Digitization%20in%20Engineering - https:\/\/industry-science.com\/en\/articles\/digitization-in-engineering-a-procedure-for-the-continuous-work-sharing-modelling-using-the-example-of-automationml\/\" 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\/digitization-in-engineering-a-procedure-for-the-continuous-work-sharing-modelling-using-the-example-of-automationml\/\" data-label=\"Facebook\" onclick=\"window.open(this.href,this.title,'width=500,height=500,top=300px,left=300px'); return false;\" target=\"_blank\" class=\"icon button circle is-outline tooltip facebook\" title=\"Share on Facebook\" aria-label=\"Share on Facebook\" rel=\"noopener nofollow\"><i class=\"icon-facebook\" aria-hidden=\"true\"><\/i><\/a><a href=\"https:\/\/x.com\/share?url=https:\/\/industry-science.com\/en\/articles\/digitization-in-engineering-a-procedure-for-the-continuous-work-sharing-modelling-using-the-example-of-automationml\/\" onclick=\"window.open(this.href,this.title,'width=500,height=500,top=300px,left=300px'); return false;\" target=\"_blank\" class=\"icon button circle is-outline tooltip x\" title=\"Share on X\" aria-label=\"Share on X\" rel=\"noopener nofollow\"><i class=\"icon-x\" aria-hidden=\"true\"><\/i><\/a><a href=\"mailto:?subject=Digitization%20in%20Engineering&body=Check%20this%20out%3A%20https%3A%2F%2Findustry-science.com%2Fen%2Farticles%2Fdigitization-in-engineering-a-procedure-for-the-continuous-work-sharing-modelling-using-the-example-of-automationml%2F\" class=\"icon button circle is-outline tooltip email\" title=\"Email to a Friend\" aria-label=\"Email to a Friend\" rel=\"nofollow\"><i class=\"icon-envelop\" aria-hidden=\"true\"><\/i><\/a><a href=\"https:\/\/www.linkedin.com\/shareArticle?mini=true&url=https:\/\/industry-science.com\/en\/articles\/digitization-in-engineering-a-procedure-for-the-continuous-work-sharing-modelling-using-the-example-of-automationml\/&title=Digitization%20in%20Engineering\" onclick=\"window.open(this.href,this.title,'width=500,height=500,top=300px,left=300px'); 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\/human-models-optimized-assembly\/\">\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\/05\/Brockmann_AdobeStock_1505788468_vegefox.com_-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/05\/Brockmann_AdobeStock_1505788468_vegefox.com_-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/05\/Brockmann_AdobeStock_1505788468_vegefox.com_-196x180.webp\" alt=\"Optimized Manual Processes in Automotive Production\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Optimized Manual Processes in Automotive Production\">                  <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;\">Optimized Manual Processes in Automotive Production<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">A module-based approach for the efficient creation of work system simulations<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/barbara-brockmann\/\">Barbara Brockmann<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/tobias-jurk\/\">Tobias Jurk<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/beate-stoffels\/\">Beate Stoffels<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/jochen-deuse-en\/\">Jochen Deuse<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-4066-4357\" 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\/human-models-optimized-assembly\/\" 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>In the manufacturing industry, the integration of digital human models into the product development and manufacturing process is becoming increasingly important. Particularly in assembly, which is characterized by a high proportion of manual tasks, motion simulations enable a realistic representation of human work and thus make a significant contribution to the evaluation of motion economy, process validation, and efficiency improvement. However, widespread application in production planning faces various challenges, such as the high initial effort required to create human simulations as well as volatile planning conditions. This article presents a practice-oriented solution from the automotive assembly sector that enables the creation of simulations with reduced effort as well as their early and consistent use in the planning process.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 3 | Pages 48-55<\/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\/xai-predicting-nudging-decision\/\">\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\/Herrmann_AdobeStock_1849357106_InfiniteFlow-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/01\/Herrmann_AdobeStock_1849357106_InfiniteFlow-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/01\/Herrmann_AdobeStock_1849357106_InfiniteFlow-196x180.webp\" alt=\"XAI for Predicting and Nudging Worker Decision-Making\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"XAI for Predicting and Nudging Worker Decision-Making\">                  <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;\">XAI for Predicting and Nudging Worker Decision-Making<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Feasibility and perceived ethical issues<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/jan-phillip-herrmann\/\">Jan-Phillip Herrmann<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-8875-1890\" 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=\"https:\/\/industry-science.com\/en\/authors\/catharina-baier\/\">Catharina Baier<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/sven-tackenberg-en\/\">Sven Tackenberg<\/a> <a href=\"https:\/\/orcid.org\/0000-0001-7083-501X\" 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=\"https:\/\/industry-science.com\/en\/authors\/verena-nitsch-en\/\">Verena Nitsch<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-4784-1283\" 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                     Explainable artificial intelligence (XAI)-based nudging, while ethically complex, may offer a favorable alternative to rigid, algorithmically generated schedules that simultaneously respects worker autonomy and improves overall scheduling performance on the shop floor. This paper presents a controlled laboratory study demonstrating the successful nudging of 28 industrial engineering students in a job shop simulation. The study shows that the observed concordance between students\u2019 sequencing decisions and a predefined target sequence increases by 9% through nudging. This is done by using XAI to analyze students\u2019 preferences and adjusting task deadlines and priorities in the simulation. The paper discusses the ethical issues of nudging, including potential manipulation, illusory autonomy, and reducing people to numbers. To mitigate these issues, it offers recommendations for implementing the XAI-based nudging approach in practice and highlights its strengths relative to rigid, ...                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 1 | Pages 70-78<\/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\/documentation-nursing-care\/\">\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\/Berretta_AdobeStock_578980096_Seventyfour-640x325.jpg\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/01\/Berretta_AdobeStock_578980096_Seventyfour-196x180.jpg\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/01\/Berretta_AdobeStock_578980096_Seventyfour-196x180.jpg\" alt=\"Improving Documentation Quality and Creating Time for Core Activities\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Improving Documentation Quality and Creating Time for Core Activities\">                  <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;\">Improving Documentation Quality and Creating Time for Core Activities<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Success factors for implementing AI-based documentation systems in nursing care<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/sophie-berretta\/\">Sophie Berretta<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-2879-2164\" 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=\"https:\/\/industry-science.com\/en\/authors\/elisabeth-liedmann\/\">Elisabeth Liedmann<\/a> <a href=\"https:\/\/orcid.org\/0009-0005-5294-2141\" 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=\"https:\/\/industry-science.com\/en\/authors\/paul-fiete-kramer\/\">Paul-Fiete Kramer<\/a> <a href=\"https:\/\/orcid.org\/0000-0001-9602-4952\" 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=\"https:\/\/industry-science.com\/en\/authors\/anja-gerlmaier\/\">Anja Gerlmaier<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/christopher-schmidt\/\">Christopher Schmidt<\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     Demographic change is accompanied by both a growing demand for care and a shortage of qualified nursing staff. Consequently, AI-based technologies are increasingly becoming a focus of care-related innovations. Their aim is to reduce workload pressure, save time, and enhance the attractiveness of the nursing profession. Using the example of AI-supported documentation systems for admission interviews, this article examines to what extent such systems can contribute to improvements in work processes and care quality, focusing on the perspectives of nursing professionals and nursing experts. The results indicate potential for workload relief, enhanced documentation quality, and the reallocation of time resources toward direct patient care. However, realizing these potentials requires a human-centered and context-sensitive implementation approach.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 1 | Pages 154-160 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.1.146\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.1.146<\/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\/augmented-reality\/\">\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\/2025\/09\/Gonnermann-Mueller_AdobeStock_575284758_Shotmedia-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/09\/Gonnermann-Mueller_AdobeStock_575284758_Shotmedia-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/09\/Gonnermann-Mueller_AdobeStock_575284758_Shotmedia-196x180.webp\" alt=\"Applied Knowledge and Augmented Reality\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Applied Knowledge and Augmented Reality\">                  <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 Knowledge and Augmented Reality<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Bridging the gap between learning and application<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/jana-gonnermann-mueller\/\">Jana Gonnermann-M\u00fcller<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-0313-3779\" 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=\"https:\/\/industry-science.com\/en\/authors\/philip-wotschack-en\/\">Philip Wotschack<\/a> <a href=\"https:\/\/orcid.org\/0000-0001-5899-9310\" 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=\"https:\/\/industry-science.com\/en\/authors\/martin-krzywdzinski\/\">Martin Krzywdzinski<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-3927-6616\" 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=\"https:\/\/industry-science.com\/en\/authors\/norbert-gronau-en\/\">Norbert Gronau<\/a> <a href=\"https:\/\/orcid.org\/0000-0001-8966-0731\" 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                     The increasing complexity of industrial environments demands new competencies from workers, particularly the ability to interact with advanced digital systems. Traditional training methods often fall short in supporting the effective transfer of applied knowledge to such contexts, and the effectiveness of this transfer, as measured by performance-based outcomes, remains to be investigated. To address this gap, the present study employed a between-subjects experimental design comparing augmented reality- and paper-based instructions within a realistic production training scenario. The results show that participants who learned with augmented reality completed the production process significantly faster and with fewer errors than those using paper instructions. In addition, learners using augmented reality reported higher usability and experienced lower cognitive load during training. These findings suggest that augmented reality can enhance the transfer of practical skills in industrial ...                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 41 | 2025 | Edition 5 | Pages 22-29 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.25.5.22\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.25.5.22<\/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\/camera-ergonomics-assessment\/\">\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\/2025\/09\/Liebchen_AdobeStock_1337181489_Lamina-640x325.jpg\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/09\/Liebchen_AdobeStock_1337181489_Lamina-196x180.jpg\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/09\/Liebchen_AdobeStock_1337181489_Lamina-196x180.jpg\" alt=\"Camera-Based Ergonomics Assessment\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Camera-Based Ergonomics Assessment\">                  <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;\">Camera-Based Ergonomics Assessment<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Developing a method for use in manual assembly<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/jannik-liebchen\/\">Jannik Liebchen<\/a> <a href=\"https:\/\/orcid.org\/0009-0005-5013-3017\" 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=\"https:\/\/industry-science.com\/en\/authors\/burak-vur-en\/\">Burak Vur<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-7345-2329\" 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=\"https:\/\/industry-science.com\/en\/authors\/michael-freitag-en\/\">Michael Freitag<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-1767-9104\" 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                     Targeted ergonomic design of workplaces and processes can counteract the challenges of manual assembly and improve working conditions. However, current expert ergonomics assessments are time-consuming and resource-intensive. This article presents an automated assessment method based on the Rapid Upper Limb Assessment (RULA). Results from a laboratory study within an assembly scenario are consistent with expert evaluations.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 41 | 2025 | Edition 5 | Pages 120-126 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.25.5.116\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.25.5.116<\/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\/production-planning-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\/2025\/09\/Schneider_AdobeStock_1131195258_Gorodenkoff-640x325.jpg\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/09\/Schneider_AdobeStock_1131195258_Gorodenkoff-196x180.jpg\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/09\/Schneider_AdobeStock_1131195258_Gorodenkoff-196x180.jpg\" alt=\"Automation of Production Planning and Control\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Automation of Production Planning and 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;\">Automation of Production Planning and Control<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">A deep dive into production control with intelligent agents<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/jonas-schneider-en\/\">Jonas Schneider<\/a> <a href=\"https:\/\/orcid.org\/0009-0002-7329-2270\" 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=\"https:\/\/industry-science.com\/en\/authors\/peter-nyhuis-en\/\">Peter Nyhuis<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-4509-4114\" 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=\"https:\/\/industry-science.com\/en\/authors\/matthias-schmidt-en\/\">Matthias Schmidt<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-1402-3644\" 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                     How can artificial intelligence (AI) automate production planning and control? This study examines its potential to enhance efficiency in modern production environments. The focus is on establishing a robust data infrastructure that integrates real-time, historical, and contextual data to create a solid basis for AI models. Reinforcement learning (RL) is applied to aid automation. A roadmap for implementation, focusing on practical application, is presented. This roadmap incorporates simulation-based training methods and outlines strategies for continuous improvement and adaptation of production processes.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 41 | 2025 | Edition 5 | Pages 86-93 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.25.5.84\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.25.5.84<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n<\/div>\n<!-- GITO_PUB_POST end flex-container -->\n","protected":false},"excerpt":{"rendered":"<p>Digitization in engineering promises automated workflows, higher speed and lower costs in the development of automation solutions. The prerequisite for this is not only modularization based on a structured description language, but also uniform, interdependent modeling that ensures automated data exchange across system boundaries. In order to achieve a broad application, the underlying ontology should be based on existing norms and standards and be available in open source applications. However, the collaborative and consistent development of such an ontology requires a structured, methodical procedure and an associated modelling map that serves as an orientation for standardized, work-sharing modelling. A possible approach for the required procedure model and the related map will be presented in this article and validated using AutomationML. The presented approach should point out a possible direction and stimulate further process-controlled modelling efforts of ontologies.<\/p>\n","protected":false},"featured_media":96317,"menu_order":0,"template":"","categories":[79167,79168,79298],"tags":[84231,79457],"product_cat":[],"topic":[68005],"technology":[68255],"knowhow":[],"industry":[],"writer":[82942,80983,82940,81751,82943,82941],"content-type":[],"potential":[67658],"solution":[],"glossary":[],"class_list":["post-93435","article","type-article","status-publish","has-post-thumbnail","category-design-en","category-translate-en","category-typeset","tag-automationml-en","tag-standardisierung-en","topic-automation","technology-modularization","writer-andreas-mayr-en","writer-bernd-kuhlenkoetter-en","writer-eike-schaeffer-en","writer-joerg-franke-en","writer-jupiter-bakakeu-en","writer-lars-penczek-en","potential-profitability","product","first","instock","downloadable","virtual","sold-individually","taxable","purchasable","product-type-article"],"uagb_featured_image_src":{"full":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schaeffer-Digitalisierung-im-Engineering-IM2019-1-1400x788.jpg",1400,788,false],"thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schaeffer-Digitalisierung-im-Engineering-IM2019-1-1400x788-150x150.jpg",150,150,true],"medium":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schaeffer-Digitalisierung-im-Engineering-IM2019-1-1400x788-666x375.jpg",666,375,true],"medium_large":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schaeffer-Digitalisierung-im-Engineering-IM2019-1-1400x788-768x432.jpg",768,432,true],"large":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schaeffer-Digitalisierung-im-Engineering-IM2019-1-1400x788-1024x576.jpg",1020,574,true],"front-page-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schaeffer-Digitalisierung-im-Engineering-IM2019-1-1400x788-1032x320.jpg",1032,320,true],"post-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schaeffer-Digitalisierung-im-Engineering-IM2019-1-1400x788-764x376.jpg",764,376,true],"post-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schaeffer-Digitalisierung-im-Engineering-IM2019-1-1400x788-392x320.jpg",392,320,true],"post-teaser-mobile":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schaeffer-Digitalisierung-im-Engineering-IM2019-1-1400x788-608x496.jpg",608,496,true],"post-custom-size":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schaeffer-Digitalisierung-im-Engineering-IM2019-1-1400x788-640x325.jpg",640,325,true],"whitepaper-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schaeffer-Digitalisierung-im-Engineering-IM2019-1-1400x788-274x376.jpg",274,376,true],"card-big":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schaeffer-Digitalisierung-im-Engineering-IM2019-1-1400x788-514x292.jpg",514,292,true],"card-portrait":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schaeffer-Digitalisierung-im-Engineering-IM2019-1-1400x788-320x440.jpg",320,440,true],"card-big-company":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schaeffer-Digitalisierung-im-Engineering-IM2019-1-1400x788-514x289.jpg",514,289,true],"gp-listing":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schaeffer-Digitalisierung-im-Engineering-IM2019-1-1400x788-196x180.jpg",196,180,true],"1536x1536":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schaeffer-Digitalisierung-im-Engineering-IM2019-1-1400x788.jpg",1400,788,false],"2048x2048":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schaeffer-Digitalisierung-im-Engineering-IM2019-1-1400x788.jpg",1400,788,false],"woocommerce_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schaeffer-Digitalisierung-im-Engineering-IM2019-1-1400x788-510x510.jpg",510,510,true],"woocommerce_single":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schaeffer-Digitalisierung-im-Engineering-IM2019-1-1400x788-510x287.jpg",510,287,true],"woocommerce_gallery_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schaeffer-Digitalisierung-im-Engineering-IM2019-1-1400x788-100x100.jpg",100,100,true],"dgwt-wcas-product-suggestion":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schaeffer-Digitalisierung-im-Engineering-IM2019-1-1400x788-64x36.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":"Digitization in engineering promises automated workflows, higher speed and lower costs in the development of automation solutions. The prerequisite for this is not only modularization based on a structured description language, but also uniform, interdependent modeling that ensures automated data exchange across system boundaries. In order to achieve a broad application, the underlying ontology should&hellip;","_links":{"self":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/article\/93435","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\/96317"}],"wp:attachment":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/media?parent=93435"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/categories?post=93435"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/tags?post=93435"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/product_cat?post=93435"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/topic?post=93435"},{"taxonomy":"technology","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/technology?post=93435"},{"taxonomy":"knowhow","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/knowhow?post=93435"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/industry?post=93435"},{"taxonomy":"writer","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/writer?post=93435"},{"taxonomy":"content-type","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/content-type?post=93435"},{"taxonomy":"potential","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/potential?post=93435"},{"taxonomy":"solution","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/solution?post=93435"},{"taxonomy":"glossary","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/glossary?post=93435"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}