Editors:
- Presents latest findings from operations research (OR)
- Gathers selected papers from a leading OR conference
Part of the book series: Operations Research Proceedings (ORP)
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Table of contents (72 papers)
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Front Matter
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Awards
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Front Matter
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Business Analytics, Artificial Intelligence and Forecasting
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Front Matter
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Decision Theory and Multiple Criteria Decision Making
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Front Matter
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Discrete and Integer Optimization
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Front Matter
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About this book
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.
Keywords
Editors and Affiliations
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Department of Computer Science, Université Libre de Bruxelles, Brussels, Belgium
Bernard Fortz, Martine Labbé
About the editors
Bibliographic Information
Book Title: Operations Research Proceedings 2018
Book Subtitle: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Brussels, Belgium, September 12-14, 2018
Editors: Bernard Fortz, Martine Labbé
Series Title: Operations Research Proceedings
DOI: https://doi.org/10.1007/978-3-030-18500-8
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-18499-5Published: 30 August 2019
eBook ISBN: 978-3-030-18500-8Published: 29 August 2019
Series ISSN: 0721-5924
Series E-ISSN: 2197-9294
Edition Number: 1
Number of Pages: XIII, 585
Number of Illustrations: 100 b/w illustrations
Topics: Operations Research, Management Science, Operations Research/Decision Theory, Operations Management, Big Data/Analytics, Engineering Economics, Organization, Logistics, Marketing, Game Theory