@article{58425,
  abstract     = {{<jats:p>Prescriptive analytics plays an important role in decision making in smart factories by utilizing the available data to gain actionable insights. The planning, integration and development of such use cases still poses manifold challenges. Use cases are still being implemented as standalone versions; the existing IT-infrastructure is not fit for integrative bidirectional decision communication, and implementations only reach low technical readiness levels. We propose a reference architecture for the integration of prescriptive analytics use cases in smart factories. The method for the empirically grounded development of reference architectures by Galster and Avgeriou serves as a blueprint. Through the development and validation of a specific IoT-Factory use case, we demonstrate the efficacy of the proposed reference architecture. We expand the given reference architecture for one use case to the integration of a smart factory and its application to multiple use cases. Moreover, we identify the interdependency among multiple use cases within dynamic environments. Our prescriptive reference architecture provides a structured way to improve operational efficiency and optimize resource allocation.</jats:p>}},
  author       = {{Weller, Julian and Migenda, Nico and Naik, Yash and Heuwinkel, Tim and Kühn, Arno and Kohlhase, Martin and Schenck, Wolfram and Dumitrescu, Roman}},
  issn         = {{2227-7390}},
  journal      = {{Mathematics}},
  number       = {{17}},
  publisher    = {{MDPI AG}},
  title        = {{{Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories}}},
  doi          = {{10.3390/math12172663}},
  volume       = {{12}},
  year         = {{2024}},
}

@article{63175,
  author       = {{Barlovits, S and Caldeira, A and Fesakis, G and Jablonski, S and Filippaki, DK and Lázaro, C and Ludwig, M and Mammana, MF and Moura, A and Oehler, DXK and Recio, T and Taranto, E and Volika, S}},
  issn         = {{2227-7390}},
  number       = {{10}},
  title        = {{{Adaptive, Synchronous, and Mobile Online Education: Developing the ASYMPTOTE Learning Environment}}},
  volume       = {{10}},
  year         = {{2022}},
}

@article{63176,
  author       = {{Taranto, E and Jablonski, S and Recio, T and Mercat, C and Cunha, E and Lázaro, C and Ludwig, M and Mammana, MF}},
  issn         = {{2227-7390}},
  number       = {{22}},
  title        = {{{Professional Development in Mathematics Education-Evaluation of a MOOC on Outdoor Mathematics}}},
  volume       = {{9}},
  year         = {{2021}},
}