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Alexander Sauer

Researcher at University of Stuttgart

Publications -  126
Citations -  689

Alexander Sauer is an academic researcher from University of Stuttgart. The author has contributed to research in topics: Computer science & Efficient energy use. The author has an hindex of 8, co-authored 90 publications receiving 318 citations. Previous affiliations of Alexander Sauer include RWTH Aachen University & Fraunhofer Society.

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The biological transformation of the manufacturing industry – envisioning biointelligent value adding

TL;DR: The concept of a bio-intelligent industry outlining the vision of a naturally consistent subsistence strategy was proposed in this article, where the authors defined this novel field of research, discussed its impact on traditional patterns of thought, provided a selection of technology, process and system examples, and presented 10 fields action in terms of future research, industrial investment, policy initiatives and societal involvement.
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Managing complexity in industrial collaborations

TL;DR: In this article, the authors demonstrate an approach to cope with the increasing complexity of industrial collaborations in highly dynamic environments and find an adequate level of complexity by applying principles of complex systems from various sciences to industrial collaborations, considered as socio-technical systems.
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Critical materials for water electrolysers at the example of the energy transition in Germany

TL;DR: In this article, the authors identify critical materials in water electrolysers with potential future supply constraints and evaluate their potential in ensuring the sustainable supply of the considered materials, including platinum, iridium, scandium and yttrium.
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Artificial Intelligence Applications for Increasing Resource Efficiency in Manufacturing Companies—A Comprehensive Review

TL;DR: An overview of the current AI applications and how they affect resource efficiency is provided, with a focus on predictive maintenance, production planning, fault detection and predictive quality, as well as the increase in energy efficiency.