This volume presents a curated selection of peer-reviewed papers from the International Conference on Operations Research (OR 2023), focusing on advancements in mathematical optimization, statistics, and simulation. The book explores the integration of computer science methods and data processing tools for information systems, alongside recent developments in information technology that enable big data analysis and real-time business analytics. It also addresses complex problems involving uncertainty, risk management, and behavioral considerations, reflecting the diverse contributions of over 700 scientists, practitioners, and students.

The collection showcases a broad spectrum of research presented at the OR 2023 conference, indicating a focus on both foundational and cutting-edge topics within operations research. The diverse participation from mathematics, computer science, and business/economics fields suggests a multidisciplinary approach to problem-solving. The inclusion of papers on big data, real-time analytics, and behavioral aspects points to the conference's engagement with contemporary challenges in decision-making and business strategy. This compilation likely serves as a valuable resource for academics and practitioners seeking to understand the current landscape and future directions of operations research.