Overview
- Presents latest findings from research in OR
- Introduces selected papers from a leading OR conference
- Provides a special focus on "Analytical Decision Making"
- Includes supplementary material: sn.pub/extras
Part of the book series: Operations Research Proceedings (ORP)
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About this book
This book includes a selection of refereed papers presented at the "Annual International Conference of the German Operations Research Society (OR2016)," which took place at the Helmut-Schmidt-Universität / Universität der Bundeswehr Hamburg, Germany, Aug. 30 - Sept. 2, 2016. Over 700 practitioners and academics from mathematics, computer science, business/economics, and related fields attended the conference. The scientific program included around 475 presentations on the theme Analytical Decision Making, focusing on the process of researching complex decision problems and devising effective solution methods towards better decisions. The book presents papers discussing classical mathematical optimization, statistics and simulation techniques. Such approaches are complemented by computer science methods and tools for the processing of data and the design and implementation of information systems. The book also examines recent advances in information technology, which allow big data volumes to be treated and enable real-time predictive and prescriptive business analytics to drive decisions and actions. Further, it includes problems modeled and treated under consideration of uncertainty, risk management, behavioral issues, and strategic decision situations.
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Keywords
Table of contents (86 papers)
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Front Matter
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Business Analytics 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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Editors and Affiliations
About the editors
Andreas Fink is professor and holds the Chair of Business Administration, in particular Information Systems Research, at the Helmut Schmidt University Hamburg, Germany. He holds diploma degrees in Business Administration and Computer Science from the University of Technology Darmstadt, a doctorate in Economics from the Braunschweig University of Technology and a habilitation degree from the University of Hamburg. His research is mainly concerned with the use of information technology to support decision-making.
Armin Fügenschuh is professor for Applied Mathematics at Helmut Schmidt University Hamburg, Germany, since 2013. He graduated with a diploma in Mathematics in Oldenburg in 2000 and received a doctoral degree (Dr. rer. nat.) at the Technische Universität Darmstadt in 2005. Between 2005 and 2013 he worked on postdoc positions at the Technische Universität Darmstadt, the Zuse Institute Berlin, the Georgia Institute of Technology, and the Friedrich-Alexander-Universität Erlangen-Nuremberg. In 2011 he finished his habilitation and received a venia legendi from the Technische Universität Berlin. His area of research is mixed-integer linear and nonlinear optimization and its application to real-world and engineering problems.
Martin Josef Geiger is professor and holds the chair of Business Administration/Logistics Management at Helmut Schmidt University Hamburg, Germany. His formal qualifications comprise a Doctoral degree (Dr. oec.) and a Habilitation, both from the University of Hohenheim, Stuttgart. Prof. Geiger is an active researcher in the area of multi criteria decision making and multi objective optimization, and has contributed to various recent optimization problems in scheduling, vehicle routing, and timetabling.
Bibliographic Information
Book Title: Operations Research Proceedings 2016
Book Subtitle: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Helmut Schmidt University Hamburg, Germany, August 30 - September 2, 2016
Editors: Andreas Fink, Armin Fügenschuh, Martin Josef Geiger
Series Title: Operations Research Proceedings
DOI: https://doi.org/10.1007/978-3-319-55702-1
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: Springer International Publishing AG 2018
Softcover ISBN: 978-3-319-55701-4Published: 21 July 2017
eBook ISBN: 978-3-319-55702-1Published: 20 July 2017
Series ISSN: 0721-5924
Series E-ISSN: 2197-9294
Edition Number: 1
Number of Pages: XIV, 658
Number of Illustrations: 96 b/w illustrations, 9 illustrations in colour
Topics: Operations Research/Decision Theory, Operations Research, Management Science, Operations Management, Big Data/Analytics, Simulation and Modeling, Engineering Economics, Organization, Logistics, Marketing