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The production domain is permeated by heterogeneous data sources, a variety of IT systems, and complex industrial use cases - aspects that offer a very exciting field for research. Modern production systems have a large number of sensors for monitoring industrial plants, which help to gain an insight into a system’s state. Sensors produce large data sets with intricate details, necessitating comprehensive preprocessing. This preprocessing includes mechanisms to reduce the data quantity, including temporal and qualitative reduction of data. For instance, colored images may be converted to black-and-white ones, and information needs to be enriched with metadata. We have to handle all of these dimensions to be able to define the data sets that are needed.
The MoPro Workshop aims to be a platform for researchers and practitioners within the production domain to exchange their modeling techniques, interesting use cases and challenges.
The workshop will be held for the second time as part of the
Modellierung'24 conference in Potsdam, Germany.
Submission Deadline:
Dr. István Koren, RWTH Aachen University |
Bianca Wiesmayr, JKU Linz |
Jürgen Mangler, Technische Universität München |