Operations Research Proceedings 2016

This book includes a selection of refereed papers presented at the "e;Annual International Conference of the German Operations Research Society (OR2016),"e; which took place at the Helmut-Schmidt-Universitat / Universitat 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.

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.

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.