07 Fakultät Konstruktions-, Produktions- und Fahrzeugtechnik

Permanent URI for this collectionhttps://elib.uni-stuttgart.de/handle/11682/8

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Institute: search.filters.UBSInstitut.Institut für Arbeitswissenschaft und TechnologiemanagementStart date: 2023

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Now showing 1 - 10 of 21
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    Digital factory transformation from a servitization perspective : fields of action for developing internal smart services
    (2023) Neuhüttler, Jens; Feike, Maximilian; Kutz, Janika; Blümel, Christian; Bienzeisler, Bernd
    In recent years, a complex set of dynamic developments driven by both the economy and the emergence of digital technologies has put pressure on manufacturing companies to adapt. The concept of servitization, i.e., the shift from a product-centric to a service-centric value creation logic, can help manufacturing companies stabilize their business in such volatile times. Existing academic literature investigates the potential and challenges of servitization and the associated development of data-based services, so-called smart services, with a view to external market performance. However, with the increasing use of digital technologies in manufacturing and the development of internal smart services based on them, we argue that the existing insights on external servitization are also of interest for internal transformation. In this paper, we identify key findings from service literature, apply them to digital factory transformation, and structure them into six fields of action along the dimensions of people, technology, and organization. As a result, recommendations for designing digital factory transformation in manufacturing companies are derived from the perspective of servitization and developing internal smart services.
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    Ein Modell zur Auslegung und multikriteriellen Bewertung von Energiesystemen zur nachhaltigen Integration der Elektromobilität
    (Stuttgart : Fraunhofer Verlag, 2024) Göhler, Georg; Spath, Dieter (Prof. Dr.-Ing. Dr.-Ing. E.h. Dr. h.c.)
    Die Vernetzung des Strom- und Mobilitätssektors stellt zukünftig vor allem für die Stromnetze eine große Herausforderung dar. Die Forschungslücke im Kontext dieser Arbeit liegt in der Einbindung der Elektromobilität als flexiblen Verbraucher in Energiesysteme bei gleichzeitiger Bewertung von Wirtschaftlichkeit und Ökologie. Um diese Lücke zu schließen, wurde ein flexibles und modulares Simulationsmodell zur Planung von Energiesystemen in der frühen Phase entwickelt, das die Integration von Elektrofahrzeugen in besonderem Maße berücksichtigt. Die Validierung bestätigt, dass die Simulationsergebnisse bei einer 1-minütigen Zeitschrittweite ausreichend genau und für diesen Planungsprozess geeignet sind. Durch das hier entwickelte Modell können in kurzer Zeit viele verschiedene Energiesystemvarianten, Betriebsstrategien und innovative Energiekonzepte berechnet und miteinander verglichen werden. Besonderes Augenmerk wurde auf die Anpassungsfähigkeit und potenzielle Erweiterungen gelegt: Das Modell bietet die Schnittstellen und die Flexibilität für Weiterentwicklungen, um zukünftige Entwicklungen im Technologiebereich zu berücksichtigen.
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    Hydrogen micro-systems : households’ preferences and economic futility
    (2024) Klingler, Anna-Lena; Dörr, Julian
    This study examines the potential market for residential hydrogen systems in light of the trends towards digitalisation and environmental awareness. Based on a survey of 350 participants, the results indicate that although energy experts are sceptical about the benefits of residential hydrogen systems due to their high costs, households are highly interested in this technology. The sample shows a willingness to invest in hydrogen applications, with some households willing to pay an average of 24% more. An economic assessment compared the cost of a residential hydrogen system with conventional domestic energy systems, revealing significant additional costs for potential buyers interested in hydrogen applications.
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    Methodik zur Unterstützung der Fabrikumbauplanung unter Verwendung eines aktualisierten digitalen Fabrikgebäudemodells
    (Stuttgart : Fraunhofer Verlag, 2023) Hellmuth, René; Spath, Dieter (Univ.-Prof. Dr.-Ing. Dr.-Ing. E.h. Dr. h.c.)
    Der Einsatz von digitalen Fabrikgebäudemodellen kann Umbaumaßnahmen eines Fabrikgebäudes nur dann unterstützen, wenn die darin beinhalteten Daten aktuell sind und den realen Gebäudezustand verlässlich widerspiegeln. Die Dissertation zeigt die Möglichkeiten auf, um Fabrikumbauplanungen mit einem digitalen Fabrikgebäudemodell zu begleiten. Der Prozess zur Aktualisierung eines digitalen Fabrikgebäudemodells steht dabei im Vordergrund.
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    BANULA : a novel DLT-based approach for EV charging with high level of user comfort and role-specific data transparency for all parties involved
    (2024) Stetter, Daniel; Höpfer, Tobias; Schmid, Marc; Sturz, Ines; Falkenberger, Simon; Knoll, Nadja
    The core goal of the BANULA research project is to combine customer-oriented and grid-compatible charging of electric vehicles. It addresses the current challenges of the e-mobility ecosystem from the perspective of grid operators and charging infrastructure users and creates added value for every mass market role involved. In the project, the idea of a virtual balancing group based on blockchain technology is implemented. Thereby, it enables extended data acquisition, a real-time data exchange between grid and market participants, proper balancing and grid node-specific load flow determination and, thus, load management.
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    Knowledge management for smart cities : standardization and replication as policy instruments to foster the implementation of smart city solutions
    (2023) Ruess, Patrick; Lindner, René
    As cities tackle a variety of recent challenges, such as climate change or resilience against natural hazards, the concept of smart cities has increasingly moved into the spotlight to provide technological solutions as appropriate countermeasures. European policymakers chose the systematic funding of smart city initiatives to incentivize and accelerate innovation and sustainability transitions by disseminating knowledge, data, and information. As this undertaking is complex, there is a pressing need to involve and engage capable stakeholders to successfully implement and operate smart city projects. To ensure the diffusion and effectiveness of these initiatives, activities towards replication and standardization as knowledge management instruments have been applied in some of these research projects. However, there is a knowledge gap on how standardization can be combined with replication efforts. As one possible answer, the lighthouse project Smarter Together has actively integrated standardization in its replication activities, resulting in the development of the CEN Workshop Agreement 17381 for describing and assessing smart city solutions. The analysis of these activities resulted in the development of 11 assumptions, which show the role of standardization as a knowledge carrier for replication activities and as a facilitator for stakeholder engagement. These findings reinforce the chosen and future policy decisions.
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    Combining brain-computer interfaces with deep reinforcement learning for robot training : a feasibility study in a simulation environment
    (2023) Vukelić, Mathias; Bui, Michael; Vorreuther, Anna; Lingelbach, Katharina
    Deep reinforcement learning (RL) is used as a strategy to teach robot agents how to autonomously learn complex tasks. While sparsity is a natural way to define a reward in realistic robot scenarios, it provides poor learning signals for the agent, thus making the design of good reward functions challenging. To overcome this challenge learning from human feedback through an implicit brain-computer interface (BCI) is used. We combined a BCI with deep RL for robot training in a 3-D physical realistic simulation environment. In a first study, we compared the feasibility of different electroencephalography (EEG) systems (wet- vs. dry-based electrodes) and its application for automatic classification of perceived errors during a robot task with different machine learning models. In a second study, we compared the performance of the BCI-based deep RL training to feedback explicitly given by participants. Our findings from the first study indicate the use of a high-quality dry-based EEG-system can provide a robust and fast method for automatically assessing robot behavior using a sophisticated convolutional neural network machine learning model. The results of our second study prove that the implicit BCI-based deep RL version in combination with the dry EEG-system can significantly accelerate the learning process in a realistic 3-D robot simulation environment. Performance of the BCI-based trained deep RL model was even comparable to that achieved by the approach with explicit human feedback. Our findings emphasize the usage of BCI-based deep RL methods as a valid alternative in those human-robot applications where no access to cognitive demanding explicit human feedback is available.
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    A generative design of collaborative innovation space
    (2023) Klooker, Marie; Hölzle, Katharina
    A workplace for collaboration can be a powerful tool for fostering collaborative innovation in an organization. However, many organizations have failed in realizing the benefits of collaborative innovation workplaces. Applying a sociomaterial lens to an empirical investigation of the creation and genesis of workplaces for collaborative innovation in six organizations, we expand the focus beyond identifying workplace's material and social elements to the emergence of a collaborative innovation space as an effective workplace for collaboration. We develop a dynamic generative design model for collaborative innovation spaces. This model draws the attention to practices involved in the creation of such space instead of spatial characteristics only. It presents three dimensions for creating collaborative innovation spaces: the collaborative workplace consisting of collaborative spatial layout, work practices, and organizational structures. All are created and manifested by means of a collaborative–participatory design approach and the practice of generative reflection instead of conventional evaluation measures. Ultimately, a mindset shift is set in motion, generating a sustainable emergence of a collaborative innovation space. We conclude that a collaborative innovation space as an in‐between space cannot be deliberately designed but rather evolves over time. Using our generative design model, organizations and stakeholder can actively become part of this emergence process.
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    Mustersprache für Innovationsdiffusion in urbanen Systemen
    (Stuttgart : Fraunhofer Verlag, 2024) Braun, Steffen; Riedel, Oliver (Univ.-Prof. Dr.-Ing.)
    Wie können Städte als komplexe Systeme innovationsoffener und wandlungsfähiger für zukünftige Herausforderungen werden? Die Dissertation adressiert die Systematisierung von kooperativen Innovations- und Diffusionsprozessen zwischen Städten im globalen Kontext der urbanen Transformation und technologieoffenen Stadtentwicklung. Mit qualitativen und quantitativen Forschungsmethoden der Wissensentdeckung in Datenbanken werden bisherige Co-Innovationsprozesse urbaner Systeme explorativ analysiert, wiederkehrende Merkmale als Muster identifiziert und validiert. Im Rahmen der Forschungsarbeit wurde eine erste universelle Mustersprache für Innovationsdiffusion in urbanen Systemen (uiPL) entlang von Wissensstrukturmodellen aus moderner Architektur und Software Engineering entwickelt, um diese als Erfolgsfaktoren für die Städte der Zukunft zu organisieren, in einer verständlichen, ganzheitlichen Form festzuhalten und die Kooperation zwischen Beteiligten zu fördern - eine interdisziplinäre Sprache für Forschung, Unternehmen, Politik und Verwaltung.
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    Multimethodisches Verfahren für anforderungsgerechte Produkt- und Produktionsmodule in Karosseriestrukturen
    (Stuttgart : Fraunhofer Verlag, 2023) Wagner, Eduard; Spath, Dieter (Prof. Dr.-Ing. Dr.-Ing. E. h. Dr. h. c.)
    In der sich stetig verändernden Automobilindustrie sehen sich Hersteller mit einer Vielzahl von Herausforderungen konfrontiert: volatile Nachfragen, steigende Produktvielfalten und der Übergang zu alternativen Antriebstechnologien. Um die vielfältigen technischen, organisatorischen und wirtschaftlichen Anforderungen an die Karosserie und den Karosseriebau vollständig zu bewältigen, wurde in dieser Arbeit ein multimethodisches Verfahren entwickelt. Dieses multimethodische Verfahren basiert auf der systematischen Identifizierung und Analyse der Anforderungen sowie auf der Nutzung von Expertenwissen und Datenanalysen. Es ermöglicht die Bildung von Modulen, die den individuellen Bedürfnissen entsprechen und gleichzeitig interne Abhängigkeiten sowie Restriktionen berücksichtigen. Die erfolgreiche Anwendung an einer neuen vollelektrischen Fahrzeugarchitektur sowie die Steigerung des Erfüllungsgrades der Anforderungen um bis zu 14 % unterstreichen die Wirksamkeit dieses Verfahrens. Dies führt zu einer höheren Umsetzungsqualität und wirtschaftlichem Nutzen im Vergleich zu den bisherigen Modularisierungsansätzen.