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Event-Driven Architecture: Der Turbo für die smarte Fabrik
No full textDie digitale Transformation der Industrie steht oft vor einem grundlegenden Problem: Wie lassen sich Maschinen, Anlagen und Lagerbestände effizient mit übergeordneten IT-Systemen wie MES und ERP verknüpfen? In vielen Produktionsumgebungen existieren isolierte, voneinander getrennte Systeme, die die Integration neuer Technologien und die Prozessoptimierung erschweren
LLM-based Transformation of Electrical Distribution Grids
Get PDFThe advancing climate change and the resulting need to restructure the energy supply industry mark the beginning of an era of significant upheavals, profoundly impacting energy distribution. The ongoing integration of renewable energy sources introduces new strains on power grids, as they are now confronted with bidirectional energy flows as well as significant fluctuations in energy generation and demand. These developments pose unprecedented challenges to the physical integrity and operational efficiency of distribution networks. Therefore, electrical distribution grid operators (DGOs) must balance these new challenges while ensuring supply security and sustainability, as well as considering economic efficiency. To meet these new challenges, the development of innovative maintenance strategies is essential. In this context, the digitalisation of power grids emerges as a key technology, offering solutions through the introduction of holistic assistance and prognosis systems (APS). This paper focuses on the collection and analysis of requirements leading to the development of an assistance system for maintenance workers in distribution networks based on Large Language Models (LLM). The LLM aims to support workforce management by providing maintenance workers with targeted information and real-time recommendations. The methodology involves conducting expert interviews to gather essential requirements, followed by a thorough analysis of the collected data. Based on this, the foundation for developing the LLM-based assistance system is established. The results demonstrate how LLMs can enhance the efficiency and effectiveness of maintenance management by optimising workflows and supporting personnel in decision-making processes
Functionalities of Harvesting Machines for Industrial Intercropping Use Cases
No full textThe following paper presents functionalities of harvesting machines for industrial intercropping use cases and a typology of their applications. The aim is to support the design and development of novel intercropping harvesting machines that are required for the implementation of industrial intercropping systems. Building upon established intercropping use cases, distinctive features and their variations are outlined, and a morphology created. The morphology is then used to develop typologies of industrial intercropping use cases, which capture various manifestations of future industrial intercropping harvesting. Based on the types, functionalities for harvesting machines are derived. Given the transformative potential of this research, it is evident that substantial modifications to existing systems are essential. The envisioned machinery requires for most use cases sophisticated software integration, encompassing data analysis, artificial intelligence, and robotics. This paper identifies the unmet needs within the realm of industrial intercropping. It also creates an understanding of the industrial use cases and presents a concept of the required harvesting technologies, thereby contributing to a more sustainable future in agriculture
[Preprint]Circular Ecosystem Development
Get PDFCollaboration is vital for the transition to a circular economy. However, existing ecosystem design approaches lack essential elements required for circularity. Our four-stage Circular Ecosystem Development Framework addresses these gaps, exemplified by the plastic packaging sector. It fosters sustainable, collaborative, and transformative circular ecosystems across diverse industries, incorporating governance and user-level transformation
Digitale Daten statt Dokumentenflut / Digital Data Instead of a Flood of Documents
Get PDFEine funktionierende Kreislaufwirtschaft für Kunststoffverpackungen scheitert bislang an fehlenden, verlässlichen Informationen entlang der Wertschöpfungskette. Das Forschungsprojekt COPPA zeigt, wie der digitale Produktpass (DPP) diese zentrale Datengrundlage schafft. Durch den DPP werden recyclingrelevante Informationen strukturiert erfasst, digital verfügbar gemacht und im gesamten zirkulären Wertschöpfungsökosystem geteilt. Erst diese Transparenz ermöglicht es, Verpackungsmaterialien hochwertig zu recyceln und erneut sicher einzusetzen. Der digitale Produktpass ist damit Schlüsseltechnologie und notwendige Voraussetzung für den Übergang von der linearen zur zirkulären Verpackungswirtschaft.To date, a fully functioning circular economy for plastic packaging has been hindered by the lack of reliable information across the value chain. The COPPA research project demonstrates how the Digital Product Passport (DPP) can establish a central data foundation to address this gap. The DPP enables recycling-relevant information to be systematically recorded, digitally accessible, and shared across the entire circular value creation ecosystem. This level of transparency is essential for high-quality recycling and the safe reuse of packaging materials. As such, the Digital Product Passport represents a key technology – and a necessary prerequisite – for the transition from a linear to a circular packaging economy
Kundenauswahl für Subscriptions 2.0
No full textIm Maschinen- und Anlagenbau wird das traditionelle transaktionale Geschäftsmodell zunehmend durch innovative Subscription-Modelle herausgefordert. Dies führt zu einem tiefgreifenden Paradigmenwechsel, der sowohl die interne Organisation als auch die gesamte Wertschöpfungskette nachhaltig transformiert
Neue Akteure in der Automobilbranche
No full textIn dieser Folge spricht Lennardt Söhngen, Projektleiter des Forschungsprojekts "DiSerHub", mit Professor Dr. Wolfgang Boos, Geschäftsführer des FIR an der RWTH Aachen, darüber, welche neuen Akteure zukünftig für etablierte Unternehmen in der Automobilbranche relevant sind und wie sie zusammenarbeiten können
Herausforderungen in der Automobilindustrie
No full textProf. Günther Schuh ist als erfahrener Wissenschaftler und Unternehmer einer der Pioniere der Elektromobilität in Deutschland. Aus Ingenieursperspektive erklärt er, warum die Transformation zur „neuen Mobilität“ zwar wirtschaftlich machbar ist, aber nicht schnell und konsequent genug umgesetzt wird. Wie wird die Mobilität der Zukunft aussehen
PRepChain: A versatile privacy-preserving reputation system for dynamic supply chain environments
Get PDFDespite their significant added value in the context of consumer-oriented e-commerce, reputation systems have seen limited adoption in other business settings and models these days. Yet, reliable reputation scores are essential in such settings for easing the establishment of new business relationships—an aspect that is particularly crucial in dynamic supply chain environments, where business partners change frequently.
Existing approaches, however, usually target other application domains and fall short in addressing the specific challenges of dynamic supply chains—especially with respect to reliability (incl. availability) and privacy preservation (incl. confidentiality). To close this research gap and to support novel directions in this important research area, we propose PRepChain, our highly-configurable approach that leverages fully homomorphic encryption and distributed competences to provide businesses with a versatile reputation-enriched ecosystem.
PRepChain is specifically designed to operate in dynamic environments by also offering a trade-off between data availability and confidentiality guarantees. We make contributions in four primary directions: (i) It offers performant privacy preservation even in large-scale settings, (ii) ensures availability of computed reputation scores, (iii) seamlessly integrates with existing supply chain information systems, and (iv) in addition to subjective reputation scores, it also supports reliably-calculated, i.e., objective, ones, thereby strengthening the reliability of third-party-sourced information. Our evaluation of PRepChain documents its performance—based on a real-world use case—, security, and privacy preservation, hence, its applicability. We conclude that it is indeed destined for practical deployments in modern supply networks