Jörn Schönberger

Rainer Lasch

Udo Buscher

Dominik Möst

Janis S. Neufeld

This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2019), which was held at Technische Universität Dresden, Germany, on September 4-6, 2019, and was jointly organized by the German Operations Research Society (GOR) the Austrian Operations Research Society (ÖGOR), and the Swiss Operational Research Society (SOR/ASRO). More than 600 scientists, practitioners and students from mathematics, computer science, business/economics and related fields attended the conference and presented more than 400 papers in plenary presentations, parallel topic streams, as well as special award sessions. 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 big data volumes to be processed and enable real-time predictive and prescriptive business analytics to drive decisions and actions. Lastly, it includes problems modeled and treated while taking into account uncertainty, risk management, behavioral issues, etc.

Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Dresden, Germany, September 4-6, 2019

Operations Research Proceedings 2019

The work contains selected and thoroughly reviewed research papers of the topics Operations Management, Supply Chain Management, Digitalization, Sustainability, Transportation Management, Process Management, Risk Management, Corporate Social Responsibility and Governance. The papers reflect the current state-of-the-art in logistics and supply chain management and new ideas and technical developments are discussed.

Udo Buscher

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