{"id":3560,"date":"2022-07-08T12:44:12","date_gmt":"2022-07-08T10:44:12","guid":{"rendered":"https:\/\/cirpicme.org\/?page_id=3560"},"modified":"2022-07-26T13:11:08","modified_gmt":"2022-07-26T11:11:08","slug":"production-systems-networks-2","status":"publish","type":"page","link":"https:\/\/cirpicme.org\/index.php\/production-systems-networks-2\/","title":{"rendered":"Production Systems & Networks"},"content":{"rendered":"\n
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To access the paper presentation page (paper info, video viewing, Q&A posting), please click on the paper title.<\/p>\n\n\n\n

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  1. Assessment Framework for Deployability of Machine Learning Models in Production<\/a><\/strong><\/strong><\/strong><\/strong><\/strong>
    Henrik Heymann<\/span>, Hendrik Mende, Maik Frye, Robert H. Schmitt (Germany)<\/em><\/li>
  2. A modular configuration and management framework for distributed real-time applications based on converged networks using TSN<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Stefan Oechsle<\/span>, Florian Frick, Armin Lechler, Alexander Verl (Germany)<\/em><\/li>
  3. Similarity analysis of engineer-to-order parts based on a knowledge graph<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Anna J. Duden<\/span>, Tobias Koehler, Diana Peters, Julian Redeker, Florian Girkes, Jean Pierre Bergmann, Thomas Vietor (Germany)<\/em><\/li>
  4. Complex Physics with Graph Networks for Industrial Material Flow Simulation<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Florian Jaensch<\/span>, Klaus Herburger, Eva Bobe, Akos Csiszar, Annika Kienzlen, Alexander Verl (Germany)<\/em><\/li>
  5. Functionality test methodology for virtual commissioning of reconfigurable manufacturing systems<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Bernhard Wallner<\/span>, Thomas Trautner, Friedrich Bleicher (Austria)<\/em><\/li>
  6. The use and validation of simulation-based logistics planning to reduce emissions from ferries<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Cynthia Hoppe, Steffen Klink<\/span>, Florian Beuss, Jan Sender, Wilko Fluegge (Germany)<\/em><\/li>
  7. Delivery scheduling in meat industry using reinforcement learning<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Alica Hoepken<\/span>, Hergen Pargmann, Harald Schallner, Andr\u00e9 Galczynski, Lennard Gerdes (Germany)<\/em><\/li>
  8. Use Case Catalog and Assessment for AI Applications in Intralogistics of Manufacturing Companies<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Sospeter Olewe, Melina Finke, Julia Belke, Florian Dyck, Christian Kuerpick <\/span>(Germany)<\/em><\/li>
  9. Model-based framework for lean information logistics in digital production<\/a><\/strong>
    Frederic Meister<\/span>, Pascal Vogl, Johannes Schilp, Andrea Hohmann, Ruediger Daub (Germany)<\/em><\/li>
  10. Design of a Multi-Fidelity Methodology for logistics process planning and Digital Twin integration in the early phases of product development<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Gernot Poechgraber<\/span>, S\u00e9bastien Bougain, Thomas Trautner, Niphon Jeepjua, Gerold Bohaty, Friedrich Bleicher (Austria)<\/em><\/li>
  11. Multimethod Simulation for the Risk Management of Product-Service Systems<\/a><\/strong><\/strong><\/strong><\/strong><\/strong>
    Enes Alp<\/span>, Dominik Arnold, Michael Herzog, Bernd Kuhlenkoetter (Germany)<\/em><\/li>
  12. Active transfer learning for data-driven manufacturing process modelling<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Gengxiang Chen<\/span>, Yingguang Li, Charyar Mehdi-Souzani, Xu Liu (China)<\/em><\/li>
  13. Systematics for an Integrative Modelling of Product and Production System<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Louis Schaefer<\/span>, Matthias Guenther, Alex Martin, Mariella Luepfert, Constantin Mandel, Simon Rapp, Gisela Lanza, Harald Anacker, Albert Albers, Daniel Koechling (Germany)<\/em><\/li>
  14. Smart Maintenance Architecture for Automated Guided Vehicles<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Dionis Bozhdaraj<\/span>, Dominik Lucke, Johannes L. Jooste (Germany)<\/em><\/li>
  15. Uncertainty-aware remaining useful life prediction for predictive maintenance using deep learning<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Quy Le Xuan<\/span>, Yeremia G. Adhisantoso, Marco Munderloh, Joern Ostermann (Germany)<\/em><\/li>
  16. A Standardized Description Model for Predictive Maintenance Use Cases<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Yannic Wolf<\/span>, Lennard Sielaff, Dominik Lucke (Germany)<\/em><\/li><\/ol>\n\n\n\n

    <\/p>\n","protected":false},"excerpt":{"rendered":"

    To access the paper presentation page (paper info, video viewing, Q&A posting), please click on the paper title. Assessment Framework for Deployability of Machine Learning Models in ProductionHenrik Heymann, Hendrik Mende, Maik Frye, Robert H. Schmitt (Germany) A modular configuration and management framework for distributed real-time applications based on converged…<\/p>\n

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