Workshop - AI in Production

Workshop held at KI 2024 - 47th German Conference on Artificial Intelligence in Würzburg. Hosted by @HTWD, supported by SME-AI Experience Center and BayVFP project KIProQua @UniBa.

Our workshop aims to bring together researchers and practitioners from the fields of AI and/or production investigating, developing, or exploring AI techniques in production. We aim to provide a platform for the exchange of ideas and experiences under the general topic of ‘AI in Production’, not specializing in certain fields of production nor AI but explicitly including production planning, control and optimization. Ideally, our workshop will enable us to standardize approaches for supporting production applying AI or to transfer these approaches from one area of application in production to another. Thus, the Workshop is not only intended for experts in artificial intelligence (in production), but explicitly also for professionals from production.

Topics

Topics of interest include, but are not limited to applications of AI in production to:

explainable AI,
interactive AI,
generative AI,
process automation,
quality control,
controlling robots,
supply chain management,
predictive maintenance,
planning and control,
optimisation,
configuration management,
knowledge graphs in manufacturing

Time Table

The workshop is planned to be a single-track one-day event. It comprises two invited talks, approximately eight technical talks and the according discussions (of current work based on paper presetations), one poster and demo session, and one general discussion.

Time	Content	Topic	Presenter
09:00 to 09:15	Welcome by the Orga-Team	AI in Production	Martin Krockert
09:15 to 10:00	Keynote	AI for the Fab of the Future - Opportunities and Challenges	Dirk Reichelt
10:00 to 10:30	Presentation #89	Charging Strategies for Automated Guided Vehicles Using Supervised Learning	Mustafa Jelibaghu, Michael Eley, Oliver Rose, Alexander
10:30 to 11:00	Coffee Break I
11:00 to 11:30	Presentation #106	Perception of Biases in Machine Learning in Production Research - A Structured Literature Review Dissecting Bias Categories	Gesa Götte, Oliver Antons, Andreas Herzog and Julia Arlinghaus
11:30 to 12:00	Presentation #98	Flexible Data Architecture for Enabling AI Applications in Production Environments	Jossy Milagros Grützmann, Franziska Rudolph, Martin Boesler and Ken Wenzel
12:00 to 12:30	Presentation #180	Supporting machine operators in paper production using machine learning based state estimation and user assistance system	Moritz Schroth, Felix Hake, Alexander Becher, Lukas Oehm and Peter Burggräf
12:30 to 14:00	Lunch Break
14:00 to 14:45	Keynote II	Challanges of Doing Data Science in the Production of Complex Products	José Luiz Bittencourt
14:45 to 15:30	Poster and Demo Session	Current Research	Moderated by Torsten Munkelt
15:30 to 16:00	Coffee Break II
16:00 to 16:30	Presentation #189	Sensitivity Analysis of Predictive Quality Methods using generalized Polynomial Chaos	Lukas Bahr and Lucas Possner
16:30 to 17:00	Presentation #94	Optical Neural Networks for Low-latency and Energy-efficient Applications in Production	Niklas Bahr, Jelle Dijkstra, Frank Brückerhoff-Plückelmann, Ivonne Bente, Daniel Wendland and Wolfram Pernice
17:00 to 18:00	General Discussion	Networking and Summary	All