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Dr.-Ing. Christiane Plociennik

Organizational unit Innovative Factory Systems
Contact +49 631 20575 3417 (Kaiserslautern)

Address (Kaiserslautern) Trippstadter Straße 122D-67663 Kaiserslautern

Publications

Ontology-Based Digital Twin Framework Using Contextual Affordances for Worker Assistance in Smart Factories

Snehal Walunj; Michael Sintek; Parsha Pahlevannejad; Christiane Plociennik; Martin Ruskowski

In: Alberto Rodrigues da Silva; Miguel Mira da Silva; Jacinto Estima; Chris Barry; Michael Lang; Henry Linger; Christoph Schneider (Hrsg.). Advances in Information Systems Development: Information Systems Development, Organizational Aspects, and Societal Trends. Pages 153-172, Lecture Notes in Information Systems and Organisation (LNISO), Vol. 67, Springer Nature, Switzerland, 7/2024.

To the publication

Pragmatic auditing: a pilot-driven approach for auditing Machine Learning systems

Iris Merget; Christiane Plociennik; Mihai Maftei; Aljoscha Burchardt; Djalel Benbouzid; Laura Lucaj; Marc Hauer; Abdeldjallil Naceri; Patrick van der Smagt

In: ArXiv e-prints (arxiv), Vol. 0, Pages 0-0, Cornell University - ArXiv, 5/2024.

To the publication

Shared Digital Product Passport for holistic lifecycle assessment

Manuel Reif; Mohammad Hossein Rimaz; Christiane Plociennik; Martin Ruskowski; Alexander David

In: atp - Automatisierungstechnische Praxis, Vol. 66, No. 4, Pages 58-65, Vulkan-Verlag, 4/2024.

To the publication
All publications

Profile

  • DACE

    Data Competence Centre for Circular Economy Data

    The aim of the circular economy (CE) is to enable sustainable development through the effective and efficient use of materials by minimising the extraction of resources from the environment as well as…

    DACE

  • ReCircE

    Digital Lifecycle Record for the Circular Economy

    Kunststoffmüll ist ein Problem. Weltweit. Der Grund: Kunststoff ist meist verbaut und Teil eines komplexen Produktes: Auto, Kühlschrank, Lederschuh oder Smartphone. Materialanalyse, -trennung und…

    ReCircE

  • InCoRAP

    Intentionsbasierte kooperative Roboterhandlungsplanung und Werkerunterstützung in Fabrikumgebungen

    The InCoRAP project investigates human-robot interaction in factory environments, taking into account human intention. This allows for a smooth interaction between humans and robots, since the robot…

    InCoRAP