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    Enabling Industry 4.0: A Roadmap For Efficient Implementation Of 5G Campus Networks In Manufacturing

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    Private 5G networks, which are localized and designed for specific organizations or facilities, enable industrial production environments to transform by providing unparalleled opportunities for enhanced operational efficiency, flexibility, and digital connectivity. Based on four expert interviews and a detailed literature review for further validation, this paper presents a holistic roadmap for implementing private 5G networks in production settings. This roadmap adopts a phased approach, beginning with awareness and needs assessment, followed by the development of specific technical concepts, pilot implementation, network scalability, and ongoing optimization. Each phase is designed to address unique challenges and critical decisions involved in the successful deployment of 5G, including use case identification (e.g., predictive maintenance and autonomous systems), network architecture, partnership models, and integration with legacy IT infrastructure. This guided approach provides production facilities a pragmatic framework to navigate the technical, organizational, and economic complexities of 5G implementation, ensuring alignment with industry requirements and future technological developments. The proposed roadmap synthesizes insights from subject matter experts and recent literature, providing a sustainable, adaptable, and resilient strategy for 5G network deployment in production environments

    Beschreibung und Spezifikation eines Funktionskatalogs für Nachhaltigkeitssoftware in IT-Systemlandschaften

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    Auflistung von Funktionen von betrieblichen Informationssysteme

    VET4CHAINS: Schneller nachhaltige Innovationen schaffen durch moderne Bildungs- und Ausbildungsformen / VET4CHAINS: Creating Sustainable Innovations Faster Through Modern Education and Training Methods

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    Die Automobilindustrie steht an einem entscheidenden Wendepunkt: Es führt kein Weg mehr daran vorbei, nachhaltiger zu produzieren sowie den Herausforderungen des Fachkräftemangels auch mit passenderen Ausbildungsmethoden zu begegnen. Der Übergang zu nachhaltigeren Produktionsweisen ist vor allem für kleine und mittlere Unternehmen (KMU) in Lateinamerika und Europa eine große Herausforderung, da sie schnell das spezialisierte Wissen und die erforderlichen Fähigkeiten erwerben müssen, um „grünere“ Wertschöpfungsketten zu entwickeln und parallel die berufliche Aus- und Weiterbildung (VET) zu modernisieren. Um diese Herausforderungen anzugehen, wurde das VET4CHAINS-Projekt 2023 (Laufzeit: 01.12.2023 – 30.11.2026) im Rahmen des Programms ERASMUS-EDU-2023-CB-VET ins Leben gerufen. Diese ehrgeizige Initiative dient genau dazu, die berufliche Bildung im Automobilsektor zu transformieren, indem Fachkräfte mit dem notwendigen Fachwissen ausgestattet werden, um KMU bei der nachhaltigen Transformation zu begleiten. Unter der Leitung des FIR e. V. an der RWTH Aachen wird VET4CHAINS von einem vielfältigen internationalen Konsortium mit Partnern aus Mexiko, Kolumbien und Spanien unterstützt. Mit den Fortschritten des Projekts wird die professionelle Entwicklung von Lehrkräften in der beruflichen Bildung gefördert und der Weg geebnet für eine nachhaltigere Zukunft in der Automobilindustrie.The automotive industry is at a crucial turning point: there is no way around producing more sustainably and meeting the challenges of the shortage of skilled workers with more suitable training methods. The transition to more sustainable production methods is a major challenge, especially for small and medium-sized enterprises (SMEs) in Latin America and Europe, as they need to quickly acquire the specialized knowledge and skills required to develop “greener” value chains and modernize vocational education and training (VET) in parallel. To address these challenges, the VET4CHAINS project 2023 (duration: 01.12.2023 - 30.11.2026) was launched as part of the ERASMUS-EDU-2023-CB-VET program. This ambitious initiative aims to transform vocational education and training in the automotive sector by equipping professionals with the necessary expertise to accompany SMEs in their sustainable transformation. Led by FIR e. V. an RWTH Aachen, VET4CHAINS is supported by a diverse international consortium with partners from Mexico, Colombia, and Spain. The progress of the project will promote the professional development of VET teachers and pave the way for a more sustainable future in the automotive industry

    [Zweitveröffentlichung:]KI-Potenziale nutzbar machen: Die fünf Top-Anwendungsfelder für KI-Excellence im industriellen Service / Unlocking AI’s Potential: The Five Key Areas of AI Application in Industrial Services

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    Für jeden Euro, den ein Unternehmen in eigene Künstliche-Intelligenz-Applikationen investiert, erzielt es durchschnittlich das 3,5-fache als Rendite. Während viele Unternehmen weltweit diese Potenziale heben, stockt die deutsche Industrie. Häufig können Nahtstellen zwischen Projekten nicht identifiziert werden und der Weg zur abteilungsübergreifenden Adaption von Künstlicher Intelligenz (KI) bleibt unklar. Zur Übersicht der Ansatzpunkte für KI hat das FIR an der RWTH Aachen gemeinsam mit zehn Unternehmen aus dem Maschinen- und Anlagenbau die fünf Top-Anwendungsfelder für den industriellen Service identifiziert.For every euro invested in artificial intelligence applications, companies achieve an average return of 3.5 times that amount1. While many companies globally are capitalizing on this potential, German industry has been slower to adopt. Organizations often struggle to identify connections between projects, and the pathway to crossdepartmental AI implementation remains unclear. To provide clarity on where to begin with AI adoption, FIR an der RWTH Aachen collaborated with ten leading mechanical and plant engineering companies to identify the top five areas of AI application in industrial services

    Technology Assessment Of AI-Based Computer Vision For Harvesters In Industrial Mixed Crop Production

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    Conventional agriculture faces escalating environmental and economic challenges. Intensive monoculture farming and the extensive use of chemical additives, such as fertilizers and pesticides, contribute to environmental pollution, biodiversity loss, and soil and water degradation, threatening both natural resources and the long-term resilience of agricultural systems. Mixed cropping, the cultivation of multiple crop species together, presents a promising alternative by optimizing resource use, enhancing soil and water quality, and reducing dependency on chemical inputs. However, its industrial application remains limited due to complexities and the lack of technical solutions, particularly in harvesting. Computer vision technology holds great potential to address these technical limitations. This paper supports agricultural machinery manufacturers by presenting a technology assessment of computer vision applications in harvesting machines for industrial mixed crop cultivation. Functional capabilities of computer vision were categorized and matched against the requirements of various functions within industrial mixed-crop harvesting, creating impact matrices that evaluate the relevance of computer vision per function. The results demonstrate the substantial potential of computer vision to facilitate, or even enable, the harvesting of mixed cropping systems at an industrial scale. The findings offer a technological foundation for developing mixed crop harvesters, informing evaluation and selection processes for final design solutions

    Die Transformation des textilen Wertschöpfungsnetzwerks - „Einwählen in das Internet der Textilien“

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    Im Vortrag geht es um die digitale Zusammenarbeit zwischen Industrieunternehmen mithilfe des partizipativen Wandlungsmanagements

    Autos als Commodities

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    Lennardt Söhngen, Leiter des Projekts "DiSerHub" vom FIR e. V. an der RWTH Aachen, spricht in dieser Folge mit Professor Wolfgang Boos, Geschäftsführer des FIR e. V. an der RWTH Aachen, darüber, warum digitale Services zur Differenzierung vom Wettbewerb benötigt werden und wie dies sich auch bei Autos widerspiegelt

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