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Next Generation Manufacturing promises significant improvements in performance, productivity, and value creation. In addition to the desired and projected improvements regarding the planning, production, and usage cycles of products, this digital transformation will have a huge impact on work, workers, and workplace design. Given the high uncertainty in the likelihood of occurrence and the technical, economic, and societal impacts of these changes, we conducted a technology foresight study, in the form of a real-time Delphi analysis, to derive reliable future scenarios featuring the next generation of manufacturing systems. This chapter presents the organization dimension and describes each projection in detail, offering current case study examples and discussing related research, as well as implications for policy makers and firms. Specifically, we highlight seven areas in which the digital transformation of production will change how we work, how we organize the work within a company, how we evaluate these changes, and how employment and labor rights will be affected across company boundaries. The experts are unsure whether the use of collaborative robots in factories will replace traditional robots by 2030. They believe that the use of hybrid intelligence will supplement human decision-making processes in production environments. Furthermore, they predict that artificial intelligence will lead to changes in management processes, leadership, and the elimination of hierarchies. However, to ensure that social and normative aspects are incorporated into the AI algorithms, restricting measurement of individual performance will be necessary. Additionally, AI-based decision support can significantly contribute toward new, socially accepted modes of leadership. Finally, the experts believe that there will be a reduction in the workforce by the year 2030.
Mobilität stellt oftmals ein Problem in Städten dar. Es sind Staus, Abgase, Platzmangel, die sich negativ auf die urbane Lebensqualität auswirken. Dies sind externe Auswirkungen der von Autos dominierten Mobilität.
Ziel von „Faces“ war es, eine effiziente und vor allem attraktive Alternative zum Automobil zu bieten. Dafür denkt das Projekt die Straßenbahn neu. Durch kompaktes Design und die Verwendung autonomer Systeme wird eine höhere Taktung ermöglicht. Zudem werden die Bahnen flexibler und können den Einsatz am Mobilitätsbedarf anpassen.
Um den Bedürfnissen der Fahrgäste gerecht zu werden, lässt sich das modulare Interior an die Reisedistanz anpassen.
Hier wird ein Mobilitätskonzept gezeichnet, das einem mit einem hoffnungsvollen Blick auf das Leben in den Städten der Zukunft zurücklässt.
A method for the integrated extraction and separation of fatty acids from algae using supercritical CO2 is presented. Desmodesmus obliquus and Chlorella sorokiniana were used as algae. First, a method for chromatographic separation of fatty acids of different degrees of saturation was established and optimized. Then, an integrated method for supercritical extraction was developed for both algal species. It was also verified whether prior cell disruption was beneficial for extraction. In developing the method for chromatographic separation, statistical experimental design was used to determine the optimal parameter settings. The methanol content in the mobile phase proved to be the most important parameter for successful separation of the three unsaturated fatty acids oleic acid, linoleic acid, and linolenic acid. Supercritical extraction with dried algae showed that about four times more fatty acids can be extracted from C. sorokiniana relative to the dry mass used.
Mit einem Werbefilm kann man seine Zielgruppe schnell und einfach in wenigen Minuten erreichen, indem man sich als Unternehmen auf eine freundliche Art und Weise vorstellt und somit Vertrauen und Kontakt zu der Zielgruppe herstellt. Außerdem bietet ein Werbefilm eine gute Möglichkeit sein Unternehmen als modernes und leistungsstarkes Unternehmen zu präsentieren, um potenzielle Kunden oder sogar neue
Mitarbeiter zu werben. Mit einem überzeugendem Werbefilm, der richtigen Musik und Animation, bleibt ein Werbefilm im Gedächtnis der Zuschauer, viel besser als es Printwerbung in Form von einem Flyer oder einer Broschüre erfüllen kann. Zusätzlich kann man seine Reichweite im Social-Media Bereich um weitere Kanäle erweitern. Dies wiederum ermöglicht dem Unternehmen seinen Kundenstamm zu stärken und auszubauen.
Inhaltsverzeichnis - Bachelorarbeiten
1. The impact of the EU non-financial reporting directive on sustainability reporting practices of DAX 30 companies
- Lene Christin Blöcker 4 - 29
2. Kurzarbeit als Krisenbewältigungsinstrument – Die arbeitsrechtlichen Voraussetzungen für die wirksame Einführung von Kurzarbeit
- Julia Esser 30 - 87
3. Die virtuelle Hauptversammlung der Aktiengesellschaft – Notlösung während der Corona-Pandemie oder dauerhafte Alternative?
- Pauline Hengstebeck 88 - 152
4. Die psychische Gesundheit am Arbeitsplatz – Aktuelle Problematik, Ursachenforschung, Folgen, rechtliche Rahmenbedingungen und geeignete Präventionsmaßnahmen aus Arbeitgebersicht
- Carolin Venrath 153 - 224
Inhaltsverzeichnis – Masterarbeiten
The influence of religion on the representation of women in politics
- Eva Scholtes 225 - 345
Der Onlinehandel boomt und die Anzahl an Paketsendungen wächst stetig. Aktuelle Zustellmethoden sind jedoch nicht nachhaltig und stören den ohnehin schon überlasteten innerstädtischen Verkehr. Hier möchte „TRABIC“ Abhilfe schaffen. „TRABIC“ ist ein nachhaltiges und zukunftsfähiges Liefersystem für den urbanen Raum. Die Kombination von innerstädtischen Microhubs mit einem neuen Lieferfahrzeug schafft die Basis des Systems. Die den Lieferprozess begleitende KI ermöglicht einen effizient aufeinander abgestimmten Lieferprozess.
Das Lieferfahrzeug bildet das Herz des Konzeptes und wurde auf der Basis eines Lastenrads entwickelt. Um eine effiziente Zustellung zu gewährleisten, wurde es an die Bedürfnisse des Lieferprozesses und der Paketzusteller/innen angepasst. Damit ermöglicht „TRABIC“ die Nutzung alternativer Verkehrswege, ist emissionsfrei und bietet somit eine attraktive Alternative zu verrufenen Zustellmethoden.
Using optimization to design a renewable energy system has become a computationally demanding task as the high temporal fluctuations of demand and supply arise within the considered time series. The aggregation of typical operation periods has become a popular method to reduce effort. These operation periods are modelled independently and cannot interact in most cases. Consequently, seasonal storage is not reproducible. This inability can lead to a significant error, especially for energy systems with a high share of fluctuating renewable energy. The previous paper, “Time series aggregation for energy system design: Modeling seasonal storage”, has developed a seasonal storage model to address this issue. Simultaneously, the paper “Optimal design of multi-energy systems with seasonal storage” has developed a different approach. This paper aims to review these models and extend the first model. The extension is a mathematical reformulation to decrease the number of variables and constraints. Furthermore, it aims to reduce the calculation time while achieving the same results.
Reliable methods for automatic readability assessment have the potential to impact a variety of fields, ranging from machine translation to self-informed learning. Recently, large language models for the German language (such as GBERT and GPT-2-Wechsel) have become available, allowing to develop Deep Learning based approaches that promise to further improve automatic readability assessment. In this contribution, we studied the ability of ensembles of fine-tuned GBERT and GPT-2-Wechsel models to reliably predict the readability of German sentences. We combined these models with linguistic features and investigated the dependence of prediction performance on ensemble size and composition. Mixed ensembles of GBERT and GPT-2-Wechsel performed better than ensembles of the same size consisting of only GBERT or GPT-2-Wechsel models. Our models were evaluated in the GermEval 2022 Shared Task on Text Complexity Assessment on data of German sentences. On out-of-sample data, our best ensemble achieved a root mean squared error of 0:435.
This dissertation uses in first stage a macroeconomic investigation to examine the dependence, influence and corruption of socio-economic development through effects of sustainability and resource management. The conducted research found that the state's dependence on its citizens decreases when the state's sources of revenue are largely detached and independent of the citizens' financial resources. In this case, financial resources are taxes and duties provided by the citizens. One possible consequence is the restriction of state investment in its citizens. Both the qualitative literature review and the quantitative data analysis revealed a negative correlation between socio-economic development and the resource economy's share of GDP for the period under study. The microeconomic investigation was primarily conducted through an intensive literature review. It was shown that the rebound effect as such is already very well researched. However, it also became clear that avoidance strategies for the rebound effect and links to sustainability initiatives are scarce or non-existent. The need for a redesign of the impact analysis with regard to technological innovations and their influence on resource consumption and resource management has become clear on the basis of the present study. Further, emerging and developing countries in particular, which will be confronted in the foreseeable future not only with the fundamental problems of resource abundance in the overall economic context, but also with the issues of their sustainable use, should be confronted with these problems as early as possible in order to find solutions in a timely manner.
The mechanical behavior of the large intestine beyond the ultimate stress has never been investigated. Stretching beyond the ultimate stress may drastically impair the tissue microstructure, which consequently weakens its healthy state functions of absorption, temporary storage, and transportation for defecation. Due to closely similar microstructure and function with humans, biaxial tensile experiments on the porcine large intestine have been performed in this study. In this paper, we report hyperelastic characterization of the large intestine based on experiments in 102 specimens. We also report the theoretical analysis of the experimental results, including an exponential damage evolution function. The fracture energies and the threshold stresses are set as damage material parameters for the longitudinal muscular, the circumferential muscular and the submucosal collagenous layers. A biaxial tensile simulation of a linear brick element has been performed to validate the applicability of the estimated material parameters. The model successfully simulates the biomechanical response of the large intestine under physiological and non-physiological loads.