This first DEXA workshop Optimisation of Industrial Production with AI Algorithms focuses on the development and efficient use of AI algorithms applied to manufacturing processes. Modern production lines and workflows in assembly processes involve complex interrelationships. Each process step can generate a large amount of data using multiple sensor technologies. Both the data acquisition process and the usage of efficient algorithms to analyze the collected data is an important part of modern smart production technologies. 

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

• Regular paper submissions about original work not exceeding 10 pages
• Short paper submissions on recent or ongoing work on relevant topics and ideas not exceeding 5 pages.

List of Topics

• Tools for the analysis of large amounts of data from the production environment and the derivation of corresponding optimisation recommendations
• Optimisation of production planning and logistics processes
• Use of AI for energy and material savings in production
• Optimisation and stabilisation of complex manufacturing processes using AI algorithms
• AI-based expansion of the use of mobile robots and industrial robots

Committees

Program Committee

• Ulrich Göhner, Institute for Data-optimised Manufacturing, Germany
• Sebnem Gül-Ficici, Institute for Data-optimised Manufacturing, Germany

Organizing committee

• Dirk Jacob, University of Applied Sciences Kempten, Germany
• Frank Schirmeier, University of Applied Sciences Kempten, Germany
• Sebastian Klüpfel, Bosch GmbH, Germany

Publication

All accepted AI4IP 2025 papers will be published by Springer in Lecture Notes in Computer Science (LNCS)

Venue

The conference will be held in...

Contact

All questions about submissions should be emailed to dexa@iiwas.org