Operations Research Proceedings 2018 [electronic resource] : Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Brussels, Belgium, September 12-14, 2018 /
Fortz, Bernard.editor.(orcid)0000-0002-2355-8926https://orcid.org/0000-0002-2355-8926edt
Labbé, Martine.editor.
This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2018), which was held at the Free University of Brussels, Belgium on September 12 - 14, 2018, and was jointly organized by the German Operations Research Society (GOR) and the Belgian Operational Research Society (ORBEL). 575 scientists, practitioners and students from mathematics, computer science, business/economics and related fields attended the conference and presented more than 400 papers in parallel topic streams, as well as special award sessions. 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.
This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2018), which was held at the Free University of Brussels, Belgium on September 12 - 14, 2018, and was jointly organized by the German Operations Research Society (GOR) and the Belgian Operational Research Society (ORBEL). 575 scientists, practitioners and students from mathematics, computer science, business/economics and related fields attended the conference and presented more than 400 papers in parallel topic streams, as well as special award sessions. 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.
Part I: Awards -- Part II: Business Analytics, Artificial Intelligence and Forecasting -- Part III: Decision Theory and Multiple Criteria Decision Making -- Part IV: Discrete and Integer Optimization -- Part V: Energy and Environment -- Part VI: Finance -- Part VII: Graphs and Networks -- Part VIII: Logistics and Freight Transportation -- Part IX: Metaheuristics -- Part X: Optimization under Uncertainty -- Part XI: OR in Engineering -- Part XII: Pricing and Revenue Management -- Part XIII: Production and Operations Management -- Part XIV: Project Management and Scheduling -- Part XV: Simulation and Statistical Modelling -- Part XVI: Software Applications and Modelling Systems -- Part XVII: Traffic, Mobility and Passenger Transportation.
Operations research.
Production management.
Big data.
Engineering economy.
Game theory.
Operations Research, Management Science.
Operations Research/Decision Theory.
Operations Management.
Big Data/Analytics.
Engineering Economics, Organization, Logistics, Marketing.
Game Theory.