Towards integrated data analysis quality: criteria for the application of industrial data science

N West, J Gries, C Brockmeier… - 2021 IEEE 22nd …, 2021 - ieeexplore.ieee.org
The application of Industrial Data Science in context of connected Smart Products requires
modeling and structuring data for its design, development and use. Especially for Smart …

Towards a process model to enable domain experts to become citizen data scientists for industrial applications

S Merkelbach, S Von Enzberg, A Kühn… - 2022 ieee 5th …, 2022 - ieeexplore.ieee.org
It is often a problem to combine domain knowledge and data science knowledge in
applications of industrial data analytics. Data scientists usually spend a lot of time to …

Development of a transdisciplinary role concept for the process chain of industrial data science

J Schwenken, C Klupak, M Syberg, N West… - Proceedings of Data …, 2023 - Springer
In recent years, there has been an increasing interest in using industrial data science (IDS)
in manufacturing companies. Structured IDS projects proceed according to process models …

Developing a data analytics toolbox for data-driven product planning: a review and survey methodology

M Panzner, S von Enzberg, R Dumitrescu - AI EDAM, 2024 - cambridge.org
The application of data analytics to product usage data has the potential to enhance
engineering and decision-making in product planning. To achieve this effectively for cyber …

On the Current State of Industrial Data Science: Challenges, Best Practices, and Future Directions

S von Enzberg, J Weller, J Brock, S Merkelbach… - Procedia CIRP, 2024 - Elsevier
Data science provides organizations with the capability to draw insights from large amounts
of data. Numerous sectors such as banking and marketing leverage this potential already. In …

Automatic generation of methods-time measurement analyses for assembly tasks from motion capture data using convolutional neuronal networks-a proof of concept

J Deuse, L Stankiewicz, R Zwinkau… - Advances in Human …, 2020 - Springer
This paper describes the research hypothesis that motion data can be utilized to derive MTM
analyses. As a first step, manual assembly tasks are recorded with motion capture systems …

Data networking for industrial data analysis based on a data backbone system

A Eiden, T Eickhoff, JC Göbel, C Apostolov… - Proceedings of the …, 2022 - cambridge.org
Industrial Data Analytics needs access to huge amounts of data, which is scattered across
different IT systems. As part of an integrated reference kit for Industrial Data Analytics, there …

[PDF][PDF] Industrial Data Science-Interdisciplinary Competence for Machine Learning in Industrial Production

L Schulte, J Schmitt, L Stankiewicz… - Annals of Scientific …, 2020 - library.oapen.org
Within the increasing digitalization, the widespread application of modern information and
communication technologies and the technological ability to systematically and …

[PDF][PDF] Kompetenzentwicklung für Maschinelles Lernen zur Konstituierung der digitalen Souveränität

T Reckelkamm, J Deuse - Digitalisierung souverän gestalten …, 2021 - library.oapen.org
Die stetig fortschreitende Digitalisierung verändert in einem hohen Tempo das
Geschäftsumfeld produzierender Unternehmen. Die weite Verbreitung digitaler …

[PDF][PDF] Konzept zur zielgerichteten kompetenzentwicklung für initiativen des maschinellen lernens

T Panusch, J Büscher, R Wöstmann… - … souverän gestalten II …, 2022 - library.oapen.org
Durch die fortschreitende Digitalisierung und Automatisierung sind Unternehmen einem
stetigen Transformationsprozess ausgesetzt. Dadurch entfallen alte Berufsbilder und …