Overview
- Presents latest findings in operations research (OR
- Gathers selected papers from a leading OR conference
- Summarizes the perspectives of OR researchers on recent and upcoming challenges
Part of the book series: Lecture Notes in Operations Research (LNOR)
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Keywords
- OR 2023
- Business Analytics
- Decision Analytics
- Digital Economy
- Mathematical Optimization
- Multicriteria Decision Making
- Optimization and Simulation
- Logistics Scheduling
- Transportation
- OR applications in production
- OR applications in supply chains
- Engineering Economics
- OR Applications Using Big Data
- Operations Research Applications
About this book
This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2023), which was held at Universität Hamburg, Germany, August 29–September 1, 2023. More than 700 scientists, practitioners, and students from mathematics, computer science, business/economics, and related fields attended the conference and presented more than 500 papers in plenary presentations, parallel topic streams, as well as special award sessions.
The book discusses classical mathematical optimization, statistics, and simulation techniques. These are complemented by computer science methods and by tools for processing data, designing and implementing information systems. The book also examines recent advances in information technology, which allow big data volumes to be processed and enable real-time predictive and prescriptive business analytics to drive decisions and actions. Lastly, it encompasses addressing problems modeled and treated while considering factors such as uncertainty, risk management, and behavioral issues.
Editors and Affiliations
About the editors
Guido Voigt is Chair of Logistics and Supply Chain Management at the University Hamburg, Germany. His research focuses on behavioral operations, supply chain coordination, and closed-loop supply chain management.
Malte Fliedner is Chair of Operations Management at Hamburg University, Germany. His research focuses on resource allocation and scheduling in manufacturing and logistics and comprises the structural analysis of complex planning problems and the development of algorithmic solution approaches for efficient decision support.
Knut Haase is Chair of Transport Economics at the Faculty of Business Administration at the University of Hamburg. His research focuses on quantitative problems in logistics, production, and transport planning.
Wolfgang Brüggemann is Professor of Business Administration, in particular, Operations Research at Hamburg Business School of University Hamburg, Germany. OR applications in various areas, such as production planning, strategic port planning and energy markets, are at the core of his and his team's research interests.
Kai Hoberg is Professor of Supply Chain and Operations Strategy at Kühne Logistics University, Germany. His research focuses on using new technologies and leveraging data to advance supply chain management and is typically combining mixed methods such as data analysis, modeling, or experiments.
Joern Meissner is Full Professor of Supply Chain Management & Pricing Strategy at Kühne Logistics University in Hamburg, Germany. His main research focus is the area of stochastic and dynamic decision-making and in particular applications of machine learning to logistics, manufacturing, supply chain management, and pricing strategy.
Bibliographic Information
Book Title: Operations Research Proceedings 2023
Book Subtitle: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Germany, August 29 – September 1, 2023
Editors: Guido Voigt, Malte Fliedner, Knut Haase, Wolfgang Brüggemann, Kai Hoberg, Joern Meissner
Series Title: Lecture Notes in Operations Research
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Hardcover ISBN: 978-3-031-58404-6Due: 09 August 2024
Softcover ISBN: 978-3-031-58407-7Due: 09 August 2024
eBook ISBN: 978-3-031-58405-3Due: 09 August 2024
Series ISSN: 2731-040X
Series E-ISSN: 2731-0418
Edition Number: 1
Number of Illustrations: 70 b/w illustrations