{"id":94311,"date":"2021-08-15T12:00:00","date_gmt":"2021-08-15T10:00:00","guid":{"rendered":"https:\/\/industry-science.com\/?post_type=article&#038;p=94311"},"modified":"2024-04-16T16:32:59","modified_gmt":"2024-04-16T14:32:59","slug":"project-lotus-energetic-optimization-of-parts-drying","status":"publish","type":"article","link":"https:\/\/industry-science.com\/en\/articles\/project-lotus-energetic-optimization-of-parts-drying\/","title":{"rendered":"Project LoTuS &#8211; Energetic Optimization of Parts Drying"},"content":{"rendered":"<hr>\n<div class=\"gito-pub-content-bibliography\">\n<h2>Bibliography <\/h2>\n[1] Bilz, M.: Markt- und Trendanalyse in der Industriellen Teilereinigung 2012. Fraunhofer-Allianz Reinigungstechnik. Berlin 2013.<br \/>\n[2] Potenzial f\u00fcr kosten- und qualit\u00e4tsoptimierte Prozesse. In: JOT Journal f\u00fcr Oberfl\u00e4chentechnik 50 (2010) 5, S. 50-53.<br \/>\n[3] B\u00fcrkle, G.: Reinigung und Reiniger in der Metallindustrie. In: Technische Akademie Esslingen (TAE). URL: www.tae.de\/uploads\/media\/Reinigung_und_Reiniger_in_der_Metallindustrie_-_TAE.pdf, Abrufdatum 22.02.2021.<br \/>\n[4] Seefeldt, F.; W\u00fcnsch, M.; Matthes, U.; Baumgartner, W.: Potenziale f\u00fcr Energieeinsparung und Energieeffizienz im Lichte aktueller Preisentwicklungen. Endbericht 18\/06. Basel Berlin 2007.<br \/>\n[5] Nast, M.; Frisch, S.; Pehnt, M.; Otter, P.: Prozessw\u00e4rme im Marktanreizprogramm: Zwischenbericht zu Perspektivische Weiterentwicklung des Marktanreizprogramms (2010). URL: https:\/\/elib.dlr.de\/82173\/1\/Prozessw%C3%A4rme_im_MAP.pdf, Abrufdatum 22.02.2021.<br \/>\n[6] Daimler AG; Henkel AG; PTW TU Darmstadt; TTD TU Darmstadt; MAFAC GmbH: Workshop Energieeffiziente Bauteilreinigung. Sitzungsprotokoll. Darmstadt 2017.<br \/>\n[7] Durkee, J. B.: Management of industrial cleaning technology and processes. 1st Edition. Amsterdam 2006.<br \/>\n[8] Blesl, M.; Kessler, A.: Energieeffizienz in der Industrie. 2. Auflage. Berlin 2013.<br \/>\n[9] Paul, S.; Paul, R.: Grundlagen der Elektrotechnik und Elektronik 2: Elektromagnetische Felder und ihre Anwendungen. 2. Auflage. Bremen Hamburg 2019.<br \/>\n[10] Mujumdar, A. S. (Hrsg): Handbook of industrial drying. 4th Edition. Boca Raton, USA 2015.<br \/>\n[11] Schraml, P.: Methode zur Reduktion maximaler elektrischer Lasten spanender Werkzeugmaschinen. Technische Universit\u00e4t Darmstadt. Dissertation. Aachen 2018.<br \/>\n[12] Abele, E.: Gemeinsamer Schlussbericht zum Projekt ETA-Fabrik: Energieeffiziente Fabrik f\u00fcr interdisziplin\u00e4re Technologie- und Anwendungsforschung. Darmstadt 2019.<br \/>\n[13] Denkena, B. (Hrsg); Garber, T. (Hrsg): NCplus+ Prozess- und wertsch\u00f6pfungsorientiert gesteuerte Werkzeugmaschine: Abschlussbericht zum BMBF-Verbundprojekt (Berichte aus dem IFW). Garbsen 2013.<br \/>\n[14] Weigold, M.; Hanson, J.; Rinderknecht, S.; Panten, N.; Walther, J.; Grosch, B.: Gemeinsamer Schlussbericht zum Projekt PHI-Factory: Flexible elektrische Fabriknetzf\u00fchrung \u2013 zur system\u00fcbergreifenden Steigerung der Energieeffizienz unter den Anforderungen zuk\u00fcnftiger Verteilnetze mit regenerativer Energieerzeugung: F\u00f6rderbereich: Energieeffizienz in Industrie und Gewerbe, Handel und Dienstleistungen (GHD): Laufzeit: 01.12.2016-31.03.2020. Darmstadt 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=\"94311\" data-userid =\"0\" data-filename=\"elserafi_Leistungsoptimierte-Trocknung-und-Sauberkeit_IM-2021_4.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\/load-management\/\">load management<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/low-cost-sensors\/\">low-cost sensors<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/process-monitoring\/\">process monitoring<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/simulation\/\">Simulation<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/simulation-en\/\">Simulation<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/waste-heat-utilization\/\">waste heat utilization<\/a><\/span> <\/div><div><div class=\"social-icons share-icons share-row relative\" ><a href=\"whatsapp:\/\/send?text=Project%20LoTuS%20%26%238211%3B%20Energetic%20Optimization%20of%20Parts%20Drying - https:\/\/industry-science.com\/en\/articles\/project-lotus-energetic-optimization-of-parts-drying\/\" 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\/project-lotus-energetic-optimization-of-parts-drying\/\" 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\/digital-competence-lab-dcl-for-speech-therapy\/\">\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\/AdobeStock_37050264-640x325.jpeg\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/AdobeStock_37050264-196x180.jpeg\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/AdobeStock_37050264-196x180.jpeg\" alt=\"Digital Competence Lab (DCL) for Speech Therapy\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Digital Competence Lab (DCL) for Speech Therapy\">                  <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;\">Digital Competence Lab (DCL) for Speech Therapy<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Designing a learning platform to advance digital skills<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"\/authors\/anika-thurmann\/\">Anika Thurmann<\/a> <a href=\"https:\/\/orcid.org\/0000-0001-9613-7834\" 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\/antonia-weirich\/\">Antonia Weirich<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-4953-1139\" 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\/kerstin-bilda\/\">Kerstin Bilda<\/a>, <a href=\"\/authors\/fiona-doerr\/\">Fiona D\u00f6rr<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-4696-5049\" 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\/lars-toenges\/\">Lars T\u00f6nges<\/a> <a href=\"https:\/\/orcid.org\/0000-0001-6621-144X\" 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 digital transformation of healthcare results in lasting changes in speech therapy. Smart technologies and artificial intelligence (AI) are creating new opportunities to ensure therapy quality, address care bottlenecks, and actively involve patients in exercise processes. At the same time, these developments are expanding the role of speech therapists, who increasingly use digital systems as supportive tools in addition to their core therapeutic tasks. Based on a feasibility study of the AI-supported application ISi-Speech-Sprechen in a real-world setting of complex Parkinson's therapy (PKT), this article outlines the key challenges associated with implementing smart technologies.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 1 | Pages 110-118 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.1.102\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.1.102<\/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\/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=\"\/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=\"\/authors\/catharina-baier\/\">Catharina Baier<\/a>, <a href=\"\/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=\"\/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=\"\/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=\"\/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=\"\/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=\"\/authors\/anja-gerlmaier\/\">Anja Gerlmaier<\/a>, <a href=\"\/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\/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 class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/co-determination-dialogues\/\">\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\/Wannoffel_AdobeStock_358318311_pinkeyes-640x325.jpg\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/Wannoffel_AdobeStock_358318311_pinkeyes-196x180.jpg\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/Wannoffel_AdobeStock_358318311_pinkeyes-196x180.jpg\" alt=\"Co-Determination Dialogues\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Co-Determination Dialogues\">                  <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;\">Co-Determination Dialogues<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">A tool for human-centered AI implementation<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"\/authors\/manfred-wannoeffel\/\">Manfred Wann\u00f6ffel<\/a> <a href=\"https:\/\/orcid.org\/0000-0001-9354-8873\" 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\/fabian-hoose\/\">Fabian Hoose<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-3564-2970\" 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\/alexander-ranft\/\">Alexander Ranft<\/a>, <a href=\"\/authors\/claudia-niewerth\/\">Claudia Niewerth<\/a> <a href=\"https:\/\/orcid.org\/0009-0004-7041-0360\" 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\/dirk-stueter\/\">Dirk St\u00fcter<\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     As part of the regional competence center humAIne, funded by the Federal Ministry of Research, Technology, and Space (BMFTR), a process was developed using co-determination dialogues to establish a common understanding of the challenges involved in the introduction of artificial intelligence (AI) between management, employees, and interest groups. Experiences from project partner companies such as Doncasters Precision Castings in Bochum GmbH (DPC) exemplify how co-determination dialogues not only help to develop legally binding regulations for manageable, operationally anchored, sustainable AI use but also initiate continuous qualification processes for all stakeholder groups in accordance with Articles 4 and 5 of the EU AI Act.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | Edition 1 | Pages 92-98 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.1.84\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.1.84<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n<\/div>\n<!-- GITO_PUB_POST end flex-container -->\n","protected":false},"excerpt":{"rendered":"<p>Due to rising quality requirements in the metalworking industry, parts drying has been gaining significance, leading to the increasing importance of reducing the energy consumption of drying processes. Therefore, the LoTuS project investigates different approaches to increase drying efficiency. Along with alternative drying technologies, process digitization is employed to provide sufficient transparency for part-specific drying. Using sensor data, artificial intelligence is utilized for process monitoring. Peak demand is further reduced by implementing load management techniques.<\/p>\n","protected":false},"featured_media":96081,"menu_order":0,"template":"","categories":[79167,4713,79168,79298],"tags":[78090,78089,72256,68587,80214,78088],"product_cat":[],"topic":[79333,79211],"technology":[67717],"knowhow":[],"industry":[],"writer":[83382,83381,83383],"content-type":[],"potential":[],"solution":[],"glossary":[],"class_list":{"0":"post-94311","1":"article","2":"type-article","3":"status-publish","4":"has-post-thumbnail","6":"category-design-en","7":"category-translate","8":"category-translate-en","9":"category-typeset","10":"tag-load-management","11":"tag-low-cost-sensors","12":"tag-process-monitoring","13":"tag-simulation","14":"tag-simulation-en","15":"tag-waste-heat-utilization","16":"topic-process-optimization","17":"topic-prozessverbesserung","18":"technology-simulation-en","19":"writer-adrian-von-hayn-en","20":"writer-ghada-elserafi-en","21":"writer-matthias-weigold-en","22":"product","23":"first","24":"instock","25":"downloadable","26":"virtual","27":"sold-individually","28":"taxable","29":"purchasable","30":"product-type-article"},"uagb_featured_image_src":{"full":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/elserafi_Leistungsoptimierte-Trocknung-und-Sauberkeit_IM-2021_4-1400x788.jpg",1400,788,false],"thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/elserafi_Leistungsoptimierte-Trocknung-und-Sauberkeit_IM-2021_4-1400x788-150x150.jpg",150,150,true],"medium":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/elserafi_Leistungsoptimierte-Trocknung-und-Sauberkeit_IM-2021_4-1400x788-666x375.jpg",666,375,true],"medium_large":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/elserafi_Leistungsoptimierte-Trocknung-und-Sauberkeit_IM-2021_4-1400x788-768x432.jpg",768,432,true],"large":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/elserafi_Leistungsoptimierte-Trocknung-und-Sauberkeit_IM-2021_4-1400x788-1024x576.jpg",1020,574,true],"front-page-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/elserafi_Leistungsoptimierte-Trocknung-und-Sauberkeit_IM-2021_4-1400x788-1032x320.jpg",1032,320,true],"post-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/elserafi_Leistungsoptimierte-Trocknung-und-Sauberkeit_IM-2021_4-1400x788-764x376.jpg",764,376,true],"post-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/elserafi_Leistungsoptimierte-Trocknung-und-Sauberkeit_IM-2021_4-1400x788-392x320.jpg",392,320,true],"post-teaser-mobile":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/elserafi_Leistungsoptimierte-Trocknung-und-Sauberkeit_IM-2021_4-1400x788-608x496.jpg",608,496,true],"post-custom-size":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/elserafi_Leistungsoptimierte-Trocknung-und-Sauberkeit_IM-2021_4-1400x788-640x325.jpg",640,325,true],"whitepaper-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/elserafi_Leistungsoptimierte-Trocknung-und-Sauberkeit_IM-2021_4-1400x788-274x376.jpg",274,376,true],"card-big":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/elserafi_Leistungsoptimierte-Trocknung-und-Sauberkeit_IM-2021_4-1400x788-514x292.jpg",514,292,true],"card-portrait":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/elserafi_Leistungsoptimierte-Trocknung-und-Sauberkeit_IM-2021_4-1400x788-320x440.jpg",320,440,true],"card-big-company":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/elserafi_Leistungsoptimierte-Trocknung-und-Sauberkeit_IM-2021_4-1400x788-514x289.jpg",514,289,true],"gp-listing":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/elserafi_Leistungsoptimierte-Trocknung-und-Sauberkeit_IM-2021_4-1400x788-196x180.jpg",196,180,true],"1536x1536":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/elserafi_Leistungsoptimierte-Trocknung-und-Sauberkeit_IM-2021_4-1400x788.jpg",1400,788,false],"2048x2048":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/elserafi_Leistungsoptimierte-Trocknung-und-Sauberkeit_IM-2021_4-1400x788.jpg",1400,788,false],"woocommerce_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/elserafi_Leistungsoptimierte-Trocknung-und-Sauberkeit_IM-2021_4-1400x788-510x510.jpg",510,510,true],"woocommerce_single":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/elserafi_Leistungsoptimierte-Trocknung-und-Sauberkeit_IM-2021_4-1400x788-510x287.jpg",510,287,true],"woocommerce_gallery_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/elserafi_Leistungsoptimierte-Trocknung-und-Sauberkeit_IM-2021_4-1400x788-100x100.jpg",100,100,true],"dgwt-wcas-product-suggestion":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/elserafi_Leistungsoptimierte-Trocknung-und-Sauberkeit_IM-2021_4-1400x788-64x36.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":"Due to rising quality requirements in the metalworking industry, parts drying has been gaining significance, leading to the increasing importance of reducing the energy consumption of drying processes. Therefore, the LoTuS project investigates different approaches to increase drying efficiency. Along with alternative drying technologies, process digitization is employed to provide sufficient transparency for part-specific drying.&hellip;","_links":{"self":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/article\/94311","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\/96081"}],"wp:attachment":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/media?parent=94311"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/categories?post=94311"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/tags?post=94311"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/product_cat?post=94311"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/topic?post=94311"},{"taxonomy":"technology","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/technology?post=94311"},{"taxonomy":"knowhow","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/knowhow?post=94311"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/industry?post=94311"},{"taxonomy":"writer","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/writer?post=94311"},{"taxonomy":"content-type","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/content-type?post=94311"},{"taxonomy":"potential","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/potential?post=94311"},{"taxonomy":"solution","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/solution?post=94311"},{"taxonomy":"glossary","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/glossary?post=94311"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}