{"id":94415,"date":"2022-02-15T12:00:00","date_gmt":"2022-02-15T12:00:00","guid":{"rendered":"https:\/\/industry-science.com\/?post_type=article&#038;p=94415"},"modified":"2024-04-16T16:33:03","modified_gmt":"2024-04-16T14:33:03","slug":"digitalized-industry-and-sustainability-between-synergy-and-dissonance","status":"publish","type":"article","link":"https:\/\/industry-science.com\/en\/articles\/digitalized-industry-and-sustainability-between-synergy-and-dissonance\/","title":{"rendered":"Digitalized Industry and Sustainability"},"content":{"rendered":"<hr>\n<div class=\"gito-pub-content-bibliography\">\n<h2>Bibliography <\/h2>\n[1] IEA (International Energy Agency): Global energy-related CO2 emissions by sector. URL: https:\/\/www.iea.org\/data-and-statistics\/charts\/global-energy-related-co2-emissions-by-sector, Abrufdatum 08.10.2021.<br \/>\n[2] Europ\u00e4ische Kommission: EU and the Paris Climate Agreement: Taking stock of progress at Katowice COP. Br\u00fcssel, 2018. URL: https:\/\/eur-lex.europa.eu\/legal-content\/EN\/TXT\/?uri=COM:2018:716:FIN, Abrufdatum 11.10.2021.<br \/>\n[3] Sachs, J. D.; Schmidt-Traub, G. u. a.: Six Transformations to achieve the Sustainable Development Goals. In: Nature Sustainability 2 (2019) 9, S. 805-814.<br \/>\n[4] Beier, G.; Fritzsche, K. u. a.: Gr\u00fcne digitalisierte Wirtschaft?. Potsdam, 2020. URL: http:\/\/doi.org\/10.2312\/iass.2020.017, Abrufdatum 14.12.21.<br \/>\n[5] BMU (Bundesministerium f\u00fcr Umwelt, Naturschutz und nukleare Sicherheit): Umweltpolitische Digitalagenda. Berlin, 2020. https:\/\/www.bmu.de\/publikation\/umweltpolitische-digitalagenda\/, Abrufdatum 14.12.2021.<br \/>\n[6] Kiel, D., M\u00fcller; J. M. u. a.: Sustainable industrial value creation: Benefits and challenges of industry 4.0. In: International Journal of Innovation Management 21 (2017) 8, S. 231-270.<br \/>\n[7] Semeraro, C.; Lezoche, M. u. a.: Digital twin paradigm: A systematic literature review. In: Computers in Industry 130 (2021), 103469.<br \/>\n[8] Beier, G.; Ullrich, A. u. a.: Industry 4.0: How it is defined from a sociotechnical perspective and how much sustainability it includes &#8211; A literature review. In: Journal of Cleaner Production 259 (2020), 120856.<br \/>\n[9] Beier, G.; Niehoff, S. u. a.: Industry 4.0: A step towards achieving the SDGs? A critical literature review. In: Discover Sustainability 2 (2021), S. 1-21.<br \/>\n[10] Waibel, M. W. ; Steenkamp, L. P. u. a.: Investigating the Effects of Smart Production Systems on Sustainability Elements. In: Procedia Manufacturing 8 (2017): S. 731-737.<br \/>\n[11] Barni, A.; Fontana, A. u. a.: Exploiting the Digital Twin in the Assessment and Optimization of Sustainability Performances. In: Jardim-Gon\u00e7alves, R.; Mendon\u00e7a, J. P. u. a. (Hrsg.): International Conference on Intelligent Systems (IS). Funchal, 2018.<br \/>\n[12] Vogel-Heuser, B. Hess, D.: Industry 4.0-Prerequisites and Visions. 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Cheltenham, 2019.<br \/>\n[17] GeSI (Global Enabling Sustainability Initiative): Digital Solutions for Climate Action. Br\u00fcssel, 2020. URL: https:\/\/gesi.org\/research\/download\/52, Abrufdatum 14.12.2021.<br \/>\n[18] Agora Energiewende: Energiewende 2030: The Big Picture &#8211; Megatrends, Ziele, Strategien und eine 10-Punkte-Agenda f\u00fcr die zweite Phase der Energiewende. Berlin, 2017. URL: https:\/\/www.agora-energiewende.de\/veroeffentlichungen\/energiewende-2030-the-big-picture\/, Abrufdatum 14.12.2021.<br \/>\n[19] Rohde, F.; G\u00e4hrs, S. u. a.: Wie viele Bits braucht die Energiewende?. Berlin, 2020. URL: https:\/\/www.nachhaltige-digitalisierung.de\/bits-baeume\/forum-bits-baeume.html, Abrufdatum 14.12.2021.<br \/>\n[20] Heutmann, T.; Schmitt, R.: Energieorientierte Produktionsplanung und -steuerung \u2013 H\u00f6here Energieeffizienz durch intelligentes MES-Softwaremodul. 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URL: https:\/\/www.isi.fraunhofer.de\/content\/dam\/isi\/dokumente\/ccn\/2016\/Studie_Zukunftstechnologien-2016.pdf, Abrufdatum 14.12.2021.<br \/>\n[25] Coderre-Proulx, M.; Campbell, B. u. a.: International Migrant Workers in the Mining Sector. Genf, 2016. URL: https:\/\/www.ilo.org\/wcmsp5\/groups\/public\/&#8212;ed_protect\/&#8212;protrav\/&#8212;migrant\/documents\/publication\/wcms_538488.pdf, Abrufdatum 14.12.2021.<br \/>\n[26] Manhart, A.; Vogt, R. u. a.: The environmental criticality of primary raw materials \u2014 a new methodology to assess global environmental hazard potentials of minerals and metals from mining. In: Mineral Economics 32 (2019) 1, S. 91-107.<br \/>\n[27] Europ\u00e4ische Kommission: Verordnung \u00fcber Mineralien aus Konfliktgebieten: Wissenswertes \u00fcber die Verordnung. Br\u00fcssel, 2020. URL: https:\/\/ec.europa.eu\/trade\/policy\/in-focus\/conflict-minerals-regulation\/regulation-explained\/index_de.htm, Abrufdatum 13.12.2021.<br \/>\n[28] UNEP (United Nations Environment Programme): Waste Crime \u2013 Waste Risks: Gaps in Meeting the Global Waste Challenge. Nairobi, 2015. URL: https:\/\/repub.eur.nl\/pub\/99476, Abrufdatum 14.12.2021.<br \/>\n[29] Hintemann, R.: Effizienzgewinne reichen nicht aus: Energiebedarf der Rechenzentren steigt weiter deutlich an. Berlin, 2018. URL: https:\/\/d-nb.info\/1215359780\/34, Abrufdatum 14.12.2021.<br \/>\n[30] Bitkom (Bundesverband Informationswirtschaft, Telekommunikation und neue Medien e. V.): Klimaschutz Durch Digitale Technologien \u2013 Chancen Und Risiken. Berlin, 2020. URL: https:\/\/www.bitkom.org\/sites\/default\/files\/2020-05\/2020-05_bitkom_klimastudie_digitalisierung.pdf, Abrufdatum 17.12.2021.<br \/>\n[31] Andrae, A.: Comparison of Several Simplistic High-Level Approaches for Estimating the Global Energy and Electricity Use of ICT Networks and Data Centers. In: International Journal of Green Technology 5 (2019) 1, S. 50-63.<br \/>\n[32] UNIDO (United Nations Industrial Development Organization): Accelerating clean energy through Industry 4.0 &#8211; Manufacturing the next revolution. Wien, 2017. URL: https:\/\/www.unido.org\/sites\/default\/files\/2017-08\/REPORT_Accelerating_clean_energy_through_Industry_4.0.Final_0.pdf, Abrufdatum 14.12.2021.<br \/>\n[33] ITU (International Telecommunication Union): For the first time, more than half of the world\u2019s population is using the Internet. URL: https:\/\/www.itu.int\/en\/mediacentre\/Pages\/2018-PR40.aspx, Abrufdatum 19.09.2019.<br \/>\n[34] Aggarwal, A.; Gupta, S. u. a.: Adoption of smart and sustainable manufacturing practices: An exploratory study of Indian manufacturing companies. In: Journal of Engineering Manufacture (2021) August.<br \/>\n[35] Pease, S. G.; Trueman, R. u. a.: An intelligent real-time cyber-physical toolset for energy and process prediction and optimisation in the future industrial Internet of Things. In: Future Generation Computer Systems 79 (2018), S. 815-829.<br \/>\n[36] \u017didek, K.; Pitel\u2019, J. u. a.: Digital Twin of Experimental Smart Manufacturing Assembly System for Industry 4.0 Concept. In: Sustainability 12 (2020) 9, S. 1-16.<br \/>\n[37] Jasiulewicz-Kaczmarek, M.; Legutko, S. u. a.: Maintenance 4.0 Technologies &#8211; New Opportunities for sustainability driven Maintenance. 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In: Science of the Total Environment 725 (2020) 138177, S. 1-14.<br \/>\n[42] Bag, S.; Telukdarie, A. u. a.: Industry 4.0 and supply chain sustainability: framework and future research directions. In: Benchmarking: An International Journal 28 (2018), S. 1410-1450.<br \/>\n[43] Bundesregierung: Deutsche Nachhaltigkeitsstrategie. Berlin, 2018. URL: https:\/\/www.bundesregierung.de\/breg-de\/service\/publikationen\/deutsche-nachhaltigkeitsstrategie-aktualisierung-2018-1559086, Abrufdatum 14.12.2021.<br \/>\n[44] Kulbatzki, J.: Frankreich legt vor, wird die EU-Kommission nachziehen? URL: https:\/\/netzpolitik.org\/2021\/right-to-repair-frankreich-legt-vor-wird-die-eu-kommission-nachziehen\/, Abrufdatum 14.12.2021.<br \/>\n[45] Europ\u00e4ische Kommission: Aktualisierung der Industriestrategie von 2020: hin zu einem st\u00e4rkeren Binnenmarkt f\u00fcr die Erholung Europas. Br\u00fcssel, 2021. 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URL: https:\/\/eur-lex.europa.eu\/legal-content\/DA\/TXT\/?uri=COM%3A2021%3A0252%3AFIN, Abrufdatum 14.12.2021.<br \/>\n[50] Fritzsche, K.; Niehoff, S. u. a.: Industry 4.0 and Climate Change \u2014 Exploring the Science-Policy Gap. In: Sustainability 10 (2018) 4511, S. 1-17.<br \/>\n[51] Weihe, C.: Hinter den Bildschirmen &#8211; Energie- und Ressourcenbedarf der Digitalisierung. URL: https:\/\/www.oeko.de\/e-paper\/digitalisierung-konzepte-fuer-mehr-nachhaltigkeit\/artikel\/hinter-den-bildschirmen\/, Abrufdatum 14.12.2021.<br \/>\n[52] Renn, O.; Beier, G. u. a.: The opportunities and risks of digitalisation for sustainable development: A systemic perspective. 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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\/ai-knowledge-management\/\">\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\/08\/Beitragsbild-1-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Beitragsbild-1-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Beitragsbild-1-196x180.webp\" alt=\"Generative AI in Organizational Knowledge Management\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Generative AI in Organizational Knowledge Management\">                  <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;\">Generative AI in Organizational Knowledge Management<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">AI literacy as a prerequisite for augmentation<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/uta-wilkens-en\/\">Uta Wilkens<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-7485-4186\" 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\/valentin-langholf-en\/\">Valentin Langholf<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-0440-4665\" 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\/niklas-obermann-en\/\">Niklas Obermann<\/a> <a href=\"https:\/\/orcid.org\/0009-0004-3817-3203\" 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                     Generative Artificial Intelligence (GenAI) offers new opportunities for organizational knowledge management, particularly when it comes to learning processes at the interface between explicit, firm-specific, and tacit knowledge. Its use is therefore of particular interest for application areas such as industrial maintenance. Based on a mechanical engineering case study, this article demonstrates that augmenting both processes and employees with GenAI requires AI literacy combined with professional skills.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 5 | Pages 118-126 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.5.14\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.5.14<\/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\/foundation-models-in-industrial-robotics\/\">\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\/08\/kuhlenkoetter_AdobeStock_2050908266_phonlamaiphoto-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/kuhlenkoetter_AdobeStock_2050908266_phonlamaiphoto-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/kuhlenkoetter_AdobeStock_2050908266_phonlamaiphoto-196x180.webp\" alt=\"Foundation Models in Industrial Robotics\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Foundation Models in Industrial Robotics\">                  <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;\">Foundation Models in Industrial Robotics<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Requirements for AI-supported assistance in production and logistics<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/bernd-kuhlenkoetter-en\/\">Bernd Kuhlenk\u00f6tter<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-5015-7490\" 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\/daniel-syniawa-en\/\">Daniel Syniawa<\/a> <a href=\"https:\/\/orcid.org\/0000-0001-9061-5663\" 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                     Foundation models are increasingly changing the way robots are used in industry. Instead of writing complex programs line by line, programmers will soon be able to collaborate more closely with AI systems, describe tasks, and review generated solutions. This shifts their role from purely generating code to conceptual, supervisory, and validation activities. This article highlights the new possibilities that large AI models create for robot programming and the changes they entail for work and required skills in industrial practice.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 5 | Pages 16-23 | DOI <a style=\"font-weight:bold !important;\" href=\"10.30844\/I4SE.26.5.2\" target=\"_blank\">10.30844\/I4SE.26.5.2<\/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-driven-organization-as-a-new-work-paradigm\/\">\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\/08\/hoelzle_AdobeStock_1913936617_Chaosamran_Studio-640x325.png\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/hoelzle_AdobeStock_1913936617_Chaosamran_Studio-196x180.png\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/hoelzle_AdobeStock_1913936617_Chaosamran_Studio-196x180.png\" alt=\"AI-Driven Organization as a New Work Paradigm\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"AI-Driven Organization as a New Work Paradigm\">                  <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-Driven Organization as a New Work Paradigm<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Implications for individual and organizational change<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/katharina-hoelzle\/\">Katharina H\u00f6lzle<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-9733-4650\" 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\/leonie-krauch\/\">Leonie Krauch<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/wolfgang-beinhauer\/\">Wolfgang Beinhauer<\/a> <a href=\"https:\/\/orcid.org\/0009-0001-3812-7715\" 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\/carsten-schmidt\/\">Carsten Schmidt<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/josephine-hofmann\/\">Josephine Hofmann<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-4453-7339\" 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                     Is it sufficient to train employees in the use of AI tools, or does the AI organization require an entirely new set of competencies? This paper introduces a digital enablement model comprising three competency dimensions and demonstrates, through an upskilling program implemented at the Fraunhofer Institute for Industrial Engineering IAO, how organizations can sustainably bridge the AI adoption gap.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 5 | Pages 94-100 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.5.11\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.5.11<\/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\/designing-effective-ai-certification\/\">\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\/08\/morsch_AdobeStock_1860648731_InfiniteFlow-640x325.png\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/morsch_AdobeStock_1860648731_InfiniteFlow-196x180.png\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/morsch_AdobeStock_1860648731_InfiniteFlow-196x180.png\" alt=\"Designing Effective AI Certification\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Designing Effective AI Certification\">                  <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;\">Designing Effective AI Certification<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Insights from established certification domains for the standardization of human-centered AI<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/katharina-morsch\/\">Katharina Morsch<\/a> <a href=\"https:\/\/orcid.org\/0009-0002-9511-6569\" 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                     Certification for human-centered AI is becoming increasingly important\u2014as a source of competitive differentiation, a response to regulatory expectations, and a mechanism for fostering human-centered work environments. But how can organizations determine whether the underlying requirements are truly embedded in practice? Drawing on expert interviews from established certification domains, this paper shows that the decisive question is answered not during the audit itself, but in the period between audit cycles. Ultimately, it is not the certificate that matters, but the commitment of organizational leadership and the organization as a whole to engage seriously in the certification process and its continuous implementation.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 5 | Pages 86-92 | DOI <a style=\"font-weight:bold !important;\" href=\"10.30844\/I4SE.26.4.10\" target=\"_blank\">10.30844\/I4SE.26.4.10<\/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\/supplier-selection-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\/08\/Ganesh_AdobeStock_1953691998_Vlad-Rakin-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Ganesh_AdobeStock_1953691998_Vlad-Rakin-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Ganesh_AdobeStock_1953691998_Vlad-Rakin-196x180.webp\" alt=\"Data-Driven Supplier Selection in 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=\"Data-Driven Supplier Selection in 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;\">Data-Driven Supplier Selection in Industry 4.0<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Towards an industrial platform for selection and configuration<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/purushothaman-ganesh\/\">Purushothaman Ganesh<\/a> <a href=\"https:\/\/orcid.org\/0009-0009-4245-467X\" 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\/baris-e-albayrak\/\">Baris E. Albayrak<\/a> <a href=\"https:\/\/orcid.org\/0009-0001-1193-1279\" 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\/joerg-franke-en\/\">J\u00f6rg Franke<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-0700-2028\" 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\/till-sindel\/\">Till Sindel<\/a> <a href=\"https:\/\/orcid.org\/0009-0004-3507-631X\" 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\/jens-fuerst\/\">Jens F\u00fcrst<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/sebastian-lang\/\">Sebastian Lang<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-3397-1551\" 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                     Industrial supply chains must repeatedly reconfigure sourcing strategies in response to disruptions, yet supplier capability information remains heterogeneous and difficult to operationalize. Existing research addresses supplier selection, simulation, and interoperability standards separately, treating discovery, evaluation, and optimization as disconnected steps requiring manual data transformation. This paper presents a framework for a data-driven industrial platform integrating three components: Asset Administration Shell-based supplier profiles structured by an Actor-Service ontology for semantic discovery, automatic discrete-event simulation model generation from layout data for performance evaluation, and KPI-driven configuration using optimization algorithms. The main contributions are an end-to-end interoperable workflow, a two-tier supplier profile concept separating semantic descriptions from simulation parameters, and a standardized KPI interface maintaining consistency ...                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 4 | Pages 50-61 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.4.6\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.4.6<\/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\/smart-data-ecosystems\/\">\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\/08\/Schleimer_AdobeStock_520430566_Melisa-640x325.jpg\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Schleimer_AdobeStock_520430566_Melisa-196x180.jpg\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Schleimer_AdobeStock_520430566_Melisa-196x180.jpg\" alt=\"Open Source as Enabler for Smart Data Ecosystems\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Open Source as Enabler for Smart Data Ecosystems\">                  <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;\">Open Source as Enabler for Smart Data Ecosystems<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">How collaboration shapes sovereignty and interoperability across industrial applications<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/anna-maria-schleimer\/\">Anna Maria Schleimer<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-3264-8034\" 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\/julia-pampus\/\">Julia Pampus<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-2309-6183\" 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                     From automotive supply chains to smart factories, data ecosystems promise seamless collaboration across company boundaries. But how can industries build the necessary infrastructure without creating new dependencies? This article explores how open-source software can serve as a foundation and impactful tool for sovereign, interoperable technologies and standards. Yet, open-source software is not a silver bullet; rather, it poses challenges for digital sovereignty in burgeoning data ecosystems.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 4 | Pages 6-13 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.4.1\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.4.1<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n<\/div>\n<!-- GITO_PUB_POST end flex-container -->\n","protected":false},"excerpt":{"rendered":"<p>A considerable part of global greenhouse gas emissions is caused in the industrial sector. Its digitialization is often seen as a means to increase sustainability. At the same time, ecological and social risks emerge. Their exploration is still in its infancy, however, previous findings point out multiple challenges. These must be conceptually taken into account in order to realize a sustainable industry 4.0. Building on a literature analysis, the following contribution presents current developments in research, industry, and policy. We shed light on a number of selected approaches, which aim at a sustainable industry 4.0. Finally, practical design options are outlined.<\/p>\n","protected":false},"featured_media":95839,"menu_order":0,"template":"","categories":[79167,79168,79298],"tags":[79449,79627,79356],"product_cat":[],"topic":[68206,68267],"technology":[79493],"knowhow":[],"industry":[],"writer":[83427,83091,83429,83428],"content-type":[],"potential":[],"solution":[],"glossary":[],"class_list":["post-94415","article","type-article","status-publish","has-post-thumbnail","category-design-en","category-translate-en","category-typeset","tag-digitalisierung-en","tag-industrie-4-0-en","tag-nachhaltigkeit-en","topic-industry-4-0","topic-sustainability","technology-digitalization","writer-frieder-schmelzle-en","writer-grischa-beier-en","writer-marcel-matthess-en","writer-stefanie-kunkel-en","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\/Schmelzle_Digitalisierte Industrie und 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