This book contains a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2024), held at the Technical University of Munich, Germany, from September 3 to 6, 2024. Over 650 scientists from all over the world attended the OR 2024 in Munich. Three plenaries and nine semi-plenaries covered theoretical aspects of Operations Research, applications, and real-world practices. In addition, more than 500 presentations were held over three days in up to 23 parallel sessions.
Covering a wide range of topics, the book highlights cutting-edge research and practical applications across various domains of modern operations research. It places a special emphasis on the theme "Data, Learning, and Optimization", exploring how data-driven approaches, machine learning techniques, and optimization strategies are shaping decision-making processes and operational efficiency. The contributions in this book reflect the diversity and innovation in the field, making it a valuable resource for researchers, practitioners, and academics alike.

Presents latest findings in operations research (OR) with a focus on choice-based analytics Gathers selected papers from a leading OR conference Summarizes the perspectives of OR researchers on recent and upcoming challenges

Autorentext

Lukas Glomb studied business mathematics at Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany, where he subsequently completed his doctorate in applied mathematics. He has been working at the Fraunhofer Institute for Integrated Circuits since 2022 and volunteers as an assistant to the board of the German Society for Operations Research (GOR e.V). His research work is focused on mixed-integer and robust optimization.