This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2022), which was held at Karlsruhe Institute of Technology, Germany, on September 6-9, 2022. KIT’s Institute for Operations Research (IOR) hosted the conference together with the Institute for Industrial Production (IIP), the Institute for Automation and Applied Informatics (IAI), and the Institute for Material Handling and Logistics (IFL).
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.
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Oliver Grothe is a Full Professor of Analytics and Statistics and Dean of Studies for Mathematical Economics at Karlsruhe Institute of Technology (KIT), Germany. He was awarded the venia legendi in statistics and econometrics in 2013. His particular research focus areas are dependence structures in high-dimensional data, networks and processes, risk measurement and financial market modeling, prediction and optimal design in energy markets, and problems in medical statistics.
Stefan Nickel is a Full Professor at Karlsruhe Institute of Technology (KIT), Germany, and one of the Directors of the Institute of Operations Research. He is one of the Directors of the Karlsruhe Service Research Institute (KSRI) and of the FZI Research Center for Information Technology. He is also the Editor-in-Chief of Operations Research for Health Care. Dr. Nickel serves as VP of IFORS in the EURO executive committee and is a member of the AC of IFORS. He has been awarded the EURO prize for the best EJOR review paper (2012) and the Elsevier prize for the EJOR top cited article 2007-2011.
Steffen Rebennack is a Full Professor at Karlsruhe Institute of Technology (KIT), Germany. He is the head of the Stochastic Programming group at the Institute for Operations Research (IOR). His research interests are modeling and designing exact optimization algorithms with applications in e.g. power systems. He has served as an editor for the European Journal of Operational Research since 2018. He was awarded the GOR Dissertation award as well as the ENRE Young Researcher Prize (2015) from the Energy, Natural Resources, and the Environment (ENRE) section of INFORMS.
Oliver Stein is a Full Professor at the Institute for Operations Research (IOR), Karlsruhe Institute of Technology (KIT), Germany. His research covers algorithms and their theoretical foundations for continuous and mixed-integer nonlinear optimization problems, parametric optimization, multi-leader-multi-follower games, and multi-objective optimization. Dr. Stein has been a fellow of the Friedrich-Ebert Foundation, Alexander-von-Humboldt Foundation, and German Research Foundation (Heisenberg fellowship), and received various teaching awards. He is a member of MOS, SIAM, GOR, and DMV, and since 2015 he has been Editor-in-Chief of MMOR.
This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2022), which was held at Karlsruhe Institute of Technology, Germany, on September 6-9, 2022. KIT’s Institute for Operations Research (IOR) hosted the conference together with the Institute for Industrial Production (IIP), the Institute for Automation and Applied Informatics (IAI), and the Institute for Material Handling and Logistics (IFL).
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 intoaccount uncertainty, risk management, behavioral issues, etc.
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Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 692 | Sprache: Englisch | Produktart: Bücher | This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2022), which was held at Karlsruhe Institute of Technology, Germany, on September 6-9, 2022. KIT¿s Institute for Operations Research (IOR) hosted the conference together with the Institute for Industrial Production (IIP), the Institute for Automation and Applied Informatics (IAI), and the Institute for Material Handling and Logistics (IFL).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. Bestandsnummer des Verkäufers 42237040/1
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Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2022), which was held at Karlsruhe Institute of Technology, Germany, on September 6-9, 2022. KIT s Institute for Operations Researc. Bestandsnummer des Verkäufers 774865344
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