{"id":103484,"date":"2024-02-20T14:18:39","date_gmt":"2024-02-20T13:18:39","guid":{"rendered":"https:\/\/industry-science.com\/?page_id=103484"},"modified":"2024-05-14T04:52:45","modified_gmt":"2024-05-14T02:52:45","slug":"services","status":"publish","type":"page","link":"https:\/\/industry-science.com\/en\/management\/services\/","title":{"rendered":"Services"},"content":{"rendered":"\n\n\n
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\n \n \n \n \"Customized\n <\/picture>\n <\/div>\n
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\t\t

Customized Organs from Space<\/h4>\n
How weightlessness could change human lives<\/div> <\/td>\n <\/tr>\n <\/table>\n
\n
\n\t\t\t \n\t\t\t <\/div>\nDue to its weightlessness, space offers enormous opportunities for production. The unique conditions of microgravity, for example, can simplify the development of organs and tissues from the body's own stem cells, allowing therapies to be developed in a more targeted manner. Even though many independent initiatives are currently emerging to explore this and other potential applications, their success is not a foregone conclusion. <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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\n \n \n \n \"Bridging\n <\/picture>\n <\/div>\n
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Bridging Knowledge Gaps with GenAI in Industrial Maintenance<\/h4>\n
Specific needs and contextualized solutions<\/div>
Uta Wilkens<\/a> \n \"ORCID<\/a>, Julian Polte<\/a> \n \"ORCID<\/a>, Philipp Lelidis<\/a>, Eckart Uhlmann<\/a> \n \"ORCID<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\n The paper specifies the genAI support needs for industrial maintenance against the background of a sociotechnical systems perspective. Emphasizing two needs, accessing implicit operator knowledge and prioritizing complex regulatory knowledge, a multi-layer architecture is outlined for an AI-based context-sensitive maintenance assistance system (MAS). The main purpose is to bridge knowledge gaps with genAI if human expertise and human implicit knowledge are not available and to cope with sub-process-specific challenges of multiple regulations. The MAS facilitates access to technical knowledge, distributes expertise, and shares implicit knowledge of experienced operators across different layers of information processing. The approach goes beyond standardization and has a high potential to enhance organizational as well as individual resilience. <\/div>\n <\/div>\n
Industry 4.0 Science<\/strong> | Volume 41 | 2025 | Edition 5 | Pages 50-57 | DOI 10.30844\/I4SE.25.5.50<\/a><\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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\n \n \n \n \"Distributed\n <\/picture>\n <\/div>\n
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Distributed Application Integration in Industry<\/h4>\n
Employing microservices for enterprise application integration (EAI)<\/div>
Jan-Peer Rudolph<\/a> \n \"ORCID<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\n In line with current digital transformations, the number of software applications in use by companies is continuously increasing. This particularly affects industrial enterprises, which face challenges due to their often complex business processes. A holistic and sustainable integration of these business processes requires a strong link between the different information systems used. In this context, application integration, also known as enterprise application integration (EAI), is becoming more important. Modern approaches such as the use of microservices offer a particularly flexible and efficient solution for seamlessly connecting different applications and thus promoting the agility and scalability of a company\u2019s IT landscape. <\/div>\n <\/div>\n
Industry 4.0 Science<\/strong> | Volume 41 | 2025 | Edition 1 | Pages 74-80<\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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\n \n \n \n \"Cloud-Agnostic\n <\/picture>\n <\/div>\n
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Cloud-Agnostic Platform-as-a-Service (PaaS)<\/h4>\n
An approach to prevent vendor lock-in<\/div> <\/td>\n <\/tr>\n <\/table>\n
\n Modern cloud architectures benefit, among other things, from improved availability due to different cloud locations and greater flexible scalability due to the theoretically unlimited computing power of the cloud. However, in addition to challenges regarding data protection and data security, companies are increasingly concerned about the growing dependency on their cloud provider. In this article, we present a prototype implementation for switching between cloud services from different providers at the PaaS level. <\/div>\n <\/div>\n
Industry 4.0 Science<\/strong> | Volume 41 | 2025 | Edition 1 | Pages 68-73<\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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\n \n \n \n \"Improving\n <\/picture>\n <\/div>\n
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Improving Social Media Moderation with Generative Language Models<\/h4>\n
Study on the detection and correction of disinformation<\/div>
Anton Schegolev<\/a>, Maximilian Ambros<\/a> \n \"ORCID<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\n Fake news are increasingly dominating the digital world. The question arises: Can modern technologies reverse this trend? The article highlights the potential of the GPT-4o language model for identifying fake news in online comments and news articles and for correcting false information. With impressive accuracy, the model shows how language technology can combat misinformation. <\/div>\n <\/div>\n
Industry 4.0 Science<\/strong> | Volume 40 | 2024 | Edition 6 | Pages 72-79 | DOI 10.30844\/I4SE.24.6.72<\/a><\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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\n \n \n \n \"Training\n <\/picture>\n <\/div>\n
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Training in Industry 4.0 with AI Tutoring Systems<\/h4>\n
State of technology<\/div>
Norbert Gronau<\/a> \n \"ORCID<\/a>, Georg David Ritterbusch<\/a> \n \"ORCID<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\n The rapid development of artificial intelligence (AI) is constantly opening new opportunities, particularly in training for the factory of the future. For employees, this not only means a significant advantage in the actual manufacturing process, but also in the field of continuing education. This paper provides an overview of AI tutoring systems continuing education in the context of Industry 4.0 by presenting a categorization that discusses different approaches of AI tutoring systems by learning methods, application areas and their respective technologies. In addition, an outlook on the disruptive effect of generative AI on AI tutoring systems in Industry 4.0 is given. <\/div>\n <\/div>\n
Industry 4.0 Science<\/strong> | Volume 40 | 2024 | Edition 5 | Pages 50-57 | DOI 10.30844\/I4SE.24.5.50<\/a><\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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\n \n \n \n \"The\n <\/picture>\n <\/div>\n
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The Utopia of European Cybersecurity Certifications<\/h4>\n
Alexander Lawall<\/a> \n \"ORCID<\/a>, Jesus Luna Garcia<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\n
\n\t\t\t \n\t\t\t <\/div>Interoperable automation can benefit cybersecurity certification processes that result from the EU Cybersecurity Act (e.g. EUCS) so that they represent less overhead for the stakeholders involved. The development of key standardization efforts involving relevant stakeholders (e.g. regulators) is needed to fully realize these benefits. EU projects like H2020 MEDINA, HEU COBALT and communities such as EUROSCAL are well on the way to achieving this goal. However, more practical experience is needed to make continuous certification with automation a reality. <\/div>\n <\/div>\n
Industry 4.0 Science<\/strong> | Volume 40 | 2024 | Edition 2 | Pages 48-55<\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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\n \n \n \n \"Artificial\n <\/picture>\n <\/div>\n
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Artificial Intelligence in ERP Systems<\/h4>\n
Development potential and benchmarking<\/div>
Marcus Grum<\/a> \n \"ORCID<\/a>, Nicolas Korjahn<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\n The use of artificial intelligence (AI) is becoming more important for a variety of industries, which is why enterprise resource planning (ERP) systems also offer many possible uses of AI. Due to their newly acquired, AI-based adaptability and learning abilities, modern AI-integrated ERP systems are able to develop competencies, plan processes, make forecasts and interact intelligently with humans. It is not uncommon for such systems to initiate major structural changes for companies and to open up new markets and design areas [1]. In order to measure the progress of an ERP system in terms of AI, the Center for Enterprise Research (CER) has developed an AI maturity model. Building on this model, a tool for evaluating AI integration in an ERP system should be able to showcase potential for development and enable market comparison. <\/div>\n <\/div>\n
Industry 4.0 Science<\/strong> | Volume 39 | 2023 | Edition 1 | Pages 100-105 | DOI 10.30844\/I4SE.23.1.100<\/a><\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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\n \n \n \n \"Digitally\n <\/picture>\n <\/div>\n
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Digitally Networked Business Models<\/h4>\n
Structured Benefit and Effort Estimation for Digital and Hybrid Business Model Innovation<\/div>
Sebastian Beiner<\/a>, Steffen Kinkel<\/a> \n \"ORCID<\/a>, Dennis Richter<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\n
\n\t\t\t \n\t\t\t <\/div>An essential component of digital value creation is the innovation of digitally networked business models. By networking different actors and service bundles, new customer value can be created. However, this networking leads to increased complexity, which makes it difficult for tradition- al industrial companies in particular to exploit these opportunities in a meaningful way. For this reason, a system is presented that reduces com- plexity through modelling and makes it possible to compare the effort and benefits of business model ideas at an early stage. <\/div>\n <\/div>\n
Industrie 4.0 Management<\/strong> | Volume 38 | 2022 | Edition 4 | Pages 28-32<\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
\n \n
\n \n \n \n \"\u201cGet\n <\/picture>\n <\/div>\n
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\u201cGet Back to the Point or I Can\u2018t Help You\u201d<\/h4>\n
Structuring of Customer Contacts in Technical Service<\/div>
J\u00f6rg Abel<\/a>, Peter Ittermann<\/a>, Tobias Wienzek<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\n
\n\t\t\t \n\t\t\t <\/div>The market for technical services is currently undergoing a transformation that is having an impact on the business models and structures of companies in this market. This change also has consequences for the specialists at technical service providers: In addition to new technical knowledge, they have to communicate more with customers and partners in particular. These interactions are not always free of conflict and can become stressful for employees. The article shows examples of how technical service companies can improve the interaction situation of their employees with organizational measures. <\/div>\n <\/div>\n
Industrie 4.0 Management<\/strong> | Volume 38 | 2022 | Edition 2 | Pages 41-44<\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n<\/div>\n\n
1<\/span>\n2<\/a>\n…<\/span>\n5<\/a>\n\u00bb<\/a><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":461,"featured_media":113755,"parent":103482,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_uag_custom_page_level_css":"","footnotes":""},"class_list":["post-103484","page","type-page","status-publish","has-post-thumbnail","hentry"],"uagb_featured_image_src":{"full":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/05\/I4S-Taxonomien.webp",1400,788,false],"thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/05\/I4S-Taxonomien-150x150.webp",150,150,true],"medium":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/05\/I4S-Taxonomien-666x375.webp",666,375,true],"medium_large":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/05\/I4S-Taxonomien-768x432.webp",768,432,true],"large":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/05\/I4S-Taxonomien-1024x576.webp",1020,574,true],"front-page-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/05\/I4S-Taxonomien-1032x320.webp",1032,320,true],"post-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/05\/I4S-Taxonomien-764x376.webp",764,376,true],"post-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/05\/I4S-Taxonomien-392x320.webp",392,320,true],"post-teaser-mobile":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/05\/I4S-Taxonomien-608x496.webp",608,496,true],"post-custom-size":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/05\/I4S-Taxonomien-640x325.webp",640,325,true],"whitepaper-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/05\/I4S-Taxonomien-274x376.webp",274,376,true],"card-big":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/05\/I4S-Taxonomien-514x292.webp",514,292,true],"card-portrait":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/05\/I4S-Taxonomien-320x440.webp",320,440,true],"card-big-company":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/05\/I4S-Taxonomien-514x289.webp",514,289,true],"gp-listing":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/05\/I4S-Taxonomien-196x180.webp",196,180,true],"1536x1536":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/05\/I4S-Taxonomien.webp",1400,788,false],"2048x2048":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/05\/I4S-Taxonomien.webp",1400,788,false],"woocommerce_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/05\/I4S-Taxonomien-510x510.webp",510,510,true],"woocommerce_single":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/05\/I4S-Taxonomien-510x287.webp",510,287,true],"woocommerce_gallery_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/05\/I4S-Taxonomien-100x100.webp",100,100,true],"dgwt-wcas-product-suggestion":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/05\/I4S-Taxonomien-64x36.webp",64,36,true]},"uagb_author_info":{"display_name":"Nimesh Patel","author_link":"https:\/\/industry-science.com\/en\/author\/nimesh\/"},"uagb_comment_info":0,"uagb_excerpt":null,"_links":{"self":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/pages\/103484","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/users\/461"}],"replies":[{"embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/comments?post=103484"}],"version-history":[{"count":1,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/pages\/103484\/revisions"}],"predecessor-version":[{"id":103485,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/pages\/103484\/revisions\/103485"}],"up":[{"embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/pages\/103482"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/media\/113755"}],"wp:attachment":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/media?parent=103484"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}