The 12th ICIEA-EU 2025
2025 The 12th International Conference on Industrial Engineering and Applications (Europe) was held in Munich, Germany during January 7-9 successfully. More than 90 experts from about 15 countries joint and shared the latest research on the hybrid conference. We would like to express our sincere appreciation from the help of members from conference committee, reviewers, and workers. Thanks to their works, our conference could be held in good way.
Accepted papers were published in AIP conference proceedings (Online and indexing will come soon)
Enjoy The Conference
After the sign in, the conference started at 9 am on January 8. Prof. Roel Leus gave us opening remarks, and Prof. Dimitri Lefebvre gave us program address. Prof. Roberto Montemanni from University of Modena and Reggio Emilia, Italy, Prof. Roel Leus, KU Leuven, Belgium and Prof. Dimitri Lefebvre from Le Havre University Normandy, France host the morning session.
This conference program is highlighted by three plenary speakers below:
Prof. Erwin Rauch from Free University in Bolzano, Italy delivered speech The Sustainable Factory: Strategies and Challenges for a Green Transition of Industry;
Prof. Luiz Moutinho from University of Suffolk, UK delivered speech Futures on Industrial Engineering;
Prof. Cristian Mahulea from University of Zaragoza, Spain delivered speech From Clinical Data to Optimized Healthcare Systems Management;
Then one invited speaker delivered research about Parts Feeding and Logistic Design in The Factories of The Future, and the speaker is Prof. Maurizio Faccio from University of Padua, Italy.
There are eight oral sessions and one poster session of the conferences, the topics including material mechanical processing and performance experiment, system models and component preparation in electronic and mechanical systems, industrial production automation and sustainable development, advanced manufacturing systems and quality control, data based software design and intelligent image processing, industrial product design, production and enterprise management, product transportation and supply chain management, industrial production process and quality control.
Oral Session 1: Material Mechanical Processing and Performance Experiment
E1067: Exploring Model Complexity: A Model Comparison in Industrial Material Processing
Pascal Marijan, German Research Center for Artificial Intelligence (DFKI), Germany
Oral Session 2: System Models and Component Preparation in Electronic and Mechanical Systems
E1133: Optimizing Multi-Sensor Systems: A Case Study of Graph-Based Automatic Feature Selection Method
David Levin, Bar-Ilan University, Israel
Oral Session 3: Industrial Production Automation and Sustainable Development
E1049: SortingEnv: An Extendable RL-Environment for an Industrial Sorting Process
Tom Maus, Ruhr-University Bochum, Germany
Oral Session 4: Advanced Manufacturing Systems and Quality Control
E1035: Yield Prediction using Graph Convolution Network in Multistage Manufacturing Process
Sugyeong Lee, Sungkyunkwan University, South Korea
Oral Session 5: Data based Software Design and Intelligent Image Processing
E1019: Driving-Over Detection in the Railway Environment
Martin Köppel, DB InfraGO AG (Geschäftsbereich Fahrweg Netz), Germany
Oral Session 6: Industrial Product Design, Production and Enterprise Management
E1063: Scheduling Individualized Products with Reinforcement Learning to reduce Worker Stress
Leon Vogel, Hochschule Bielefeld, Germany
Online Oral Session 7: Product Transportation and Supply Chain Management
E1051: Automated Warehouse Layout Design: a Software Application
Raúl Eduardo Fernández Pachas, Anhui University of Technology, China
E2012: Corporate Sustainability Regulation in the EU and Its Member States: Burden, Opportunity and Moral Imperative (not only) for Small and Medium Sized Enterprises
Katharina Kilian-Yasin, Pforzheim University, Germany
Online Oral Session 8: Industrial Production Process and Quality Control
E2014: Improving Control Chart Pattern Recognition Accuracy Using Wavelet-Enhanced Ensemble Methods with CNN-BiLSTM
Rungchat Chompu-inwai, Chiang Mai University, Thailand
