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230911 ||| eng |
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|a 9783031249075
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| 100 |
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|a Grothe, Oliver
|e [editor]
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| 245 |
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|a Operations Research Proceedings 2022
|h Elektronische Ressource
|b Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Karlsruhe, Germany, September 6-9, 2022
|c edited by Oliver Grothe, Stefan Nickel, Steffen Rebennack, Oliver Stein
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| 250 |
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|a 1st ed. 2023
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2023, 2023
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| 300 |
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|a XVIII, 671 p. 119 illus., 83 illus. in color
|b online resource
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| 505 |
0 |
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|a Chapter 1: A Two-Stage Stochastic Optimisation Model for Urban Same-Day Delivery with Micro-hubs -- Chapter 2: Computational Linear Bilevel Optimization -- Chapter 3: Faster Algorithms for Steiner Tree and Related Problems: From Theory to Practice -- Chapter 4: Prescriptive Analytics for Data-Driven Capacity Management
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| 653 |
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|a Operations Research, Management Science
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| 653 |
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|a Operations research
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| 653 |
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|a Optimization
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| 653 |
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|a Management science
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| 653 |
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|a Mathematical optimization
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| 653 |
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|a Operations Research and Decision Theory
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| 700 |
1 |
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|a Nickel, Stefan
|e [editor]
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| 700 |
1 |
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|a Rebennack, Steffen
|e [editor]
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| 700 |
1 |
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|a Stein, Oliver
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Lecture Notes in Operations Research
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| 028 |
5 |
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|a 10.1007/978-3-031-24907-5
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-031-24907-5?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 658.403
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| 520 |
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|a 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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