Talks and Poster Presentations (with Proceedings-Entry):

D. Winkler, A. Korobeinykov, P. Novak, A. Lüder, S. Biffl:
"Big Data Needs and Challenges in Smart Manufacturing: An Industry-Academia Survey";
Talk: 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Västerås, Sweden; 2021-09-07 - 2021-09-10; in: "Proceedings of the 26th International Conference on Emerging Technologies and Factory Automation (ETFA)", (2021), ISBN: 978-1-6654-2478-3.

English abstract:
The increasing availability of data in Smart Manufacturing opens new challenges and required capabilities in the
area of big data in industry and academia. Various organizations
have started initiatives to collect and analyse data in their
individual contexts with specific goals, e.g., for monitoring,
optimization, or decision support in order to reduce risks and
costs in their manufacturing systems. However, the variety of
available application areas require to focus on most promising
activities. Therefore, we see the need for investigating common
challenges and priorities in academia and industry from expert
and management perspective to identify the state of the practice
and promising application areas for driving future research directions. The goal of this paper is to report on an industry-academia
survey to capture the current state of the art, required capabilities
and priorities in the area of big data applications. Therefore, we
conducted a survey in winter 2020/21 in industry and academia.
We received 22 responses from different application domains
highlighting the need for supporting (a) fault detection and (b)
fault classification based on (c) historical and (d) real-time data
analysis concepts. Therefore, the survey results reveals current
and upcoming challenges in big data applications, such as defect
handling based on historical and real-time data.

Smart Manufacturing, Big Data Application, State of the Practice, Required Capabilities, Survey

Created from the Publication Database of the Vienna University of Technology.