This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2021), which was hosted online by the University of Bern from August 31 to September 3, 2021, and was jointly organized by the Operations Research Societies of Switzerland (SVOR/ASRO), Germany (GOR e.V.), and Austria (ÖGOR).
The respective papers discuss 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 massive volumes of data to be processed and enable real-time predictive and prescriptive business analytics to drive decisions and actions. Lastly, it presents a selection of problems that are modeled and treated while taking into account uncertainty, risk management, behavioral issues, etc.

Presents latest findings from operations research (OR) Gathers selected papers from a leading OR conference Summarizes the perspectives of OR researchers on recent and upcoming challenges

Autorentext

Dr. Norbert Trautmann is a full professor of quantitative methods at the Department of Business Administration, University of Bern, Switzerland. Dr. Mario Gnägi is a postdoctoral researcher of quantitative methods at the Department of Business Administration, University of Bern, Switzerland.

Klappentext

This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2021), which was hosted online by the University of Bern from August 31 to September 3, 2021, and was jointly organized by the Operations Research Societies of Switzerland (SVOR/ASRO), Germany (GOR e.V.), and Austria (ÖGOR). The respective papers discuss 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 massive volumes of data to be processed and enable real-time predictive and prescriptive business analytics to drive decisions and actions. Lastly, it presents a selection of problems that are modeled and treated while taking into account uncertainty, risk management, behavioral issues, etc.

Inhalt
Operations Management in the Sharing Economy: An Integrated Perspective of Item-sharing and Crowdshipping.- The Student-Project Allocation Problem as Part of Timetabling in Project-Oriented Schools.- Multi-start Heuristics for Unit-Capacity Orienteering Problems.- Scheduling a two stage proportionate flexible flow shop with dedicated machines and no buffers.- Combining Causal Loop Diagrams, Behavior-Over-Time Graphs, and Narratives to Structure and Explore Complex Decision-Making Situations.