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.
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.
Presents latest findings from research in OR
Part I: Dissertation Prizes.- Part II: Master's Thesis Prizes.- Part III: Business Analytics and Forecasting.- Part IV: Decision Theory and Multiple Criteria Decision Making.- Part V: Discrete and Integer Optimization.- Part VI: Energy and Environment.- Part VII: Finance.- Part VIII: Game Theory and Experimental Economics.- Part IX: Graphs and Networks.- Part X: Health Care Management.- Part XI: Logistics, Routing and Location Planning.- Part XII: Metaheuristics.- Part XIII: Optimization under Uncertainty.- Part XIV: Pricing and Revenue Management.- Part XV: Production and Operations Management.- Part XVI: Project Management and Scheduling.- Part XVII: Security and Disaster Management.- Part XVIII: Simulation and Stochastic Modeling.- Part XIX: Software and Modeling Systems.- Part XX: Supply Chain Management.- Part XXI: Traffic and Passenger Transportation.