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Operations Research Proceedings 2019

Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Dresden, Germany, September 4-6, 2019
BuchKartoniert, Paperback
819 Seiten
Englisch
Springererschienen am25.09.20201st ed. 2020
This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2019), which was held at Technische Universität Dresden, Germany, on September 4-6, 2019, and was jointly organized by the German Operations Research Society (GOR) the Austrian Operations Research Society (ÖGOR), and the Swiss Operational Research Society (SOR/ASRO). More than 600 scientists, practitioners and students from mathematics, computer science, business/economics and related fields attended the conference and presented more than 400 papers in plenary presentations, 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.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR160,49
E-BookPDF1 - PDF WatermarkE-Book
EUR149,79

Produkt

KlappentextThis book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2019), which was held at Technische Universität Dresden, Germany, on September 4-6, 2019, and was jointly organized by the German Operations Research Society (GOR) the Austrian Operations Research Society (ÖGOR), and the Swiss Operational Research Society (SOR/ASRO). More than 600 scientists, practitioners and students from mathematics, computer science, business/economics and related fields attended the conference and presented more than 400 papers in plenary presentations, 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.
Details
ISBN/GTIN978-3-030-48438-5
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2020
Erscheinungsdatum25.09.2020
Auflage1st ed. 2020
Seiten819 Seiten
SpracheEnglisch
Gewicht1246 g
IllustrationenXV, 819 p. 148 illus., 30 illus. in color.
Artikel-Nr.48281041
Rubriken

Inhalt/Kritik

Inhaltsverzeichnis
Part I: GOR Awards.- Part II: Business Analytics, Artificial Intelligence and Forecasting.- Part III: Business Track.- Part IV: Control Theory and Continuous Optimization.- Part V: Decision Theory and Multiple Criteria Decision Making.- Part VI: Discrete and Integer Optimization.- Part VII: Energy and Environment.- Part VIII: Finance.- Part IX: Graphs and Networks.- Part X: Health Care Management.-Part XI: Logistics and Freight Transportation.- Part XII: Optimization under Uncertainty.- Part XIII: OR in Engineering.- Part XIV: Production and Operations Management.- Part XV: Project Management and Scheduling.- Part XVI: Revenue Management and Pricing.- Part XVII: Simulation and Statistical Modelling.- Part XVIII: .- Part XIX: Supply Chain Management.- Part XX: Traffic, Mobility and Passenger Transportation.mehr

Schlagworte

Autor

Dr. Janis S. Neufeld is senior researcher at the Chair of Industrial Management and leader of the research group Operations Management at Technische Universität Dresden, Germany, where he also received his PhD on scheduling in cellular manufacturing. His major research interests are the development and application of optimization methods to complex planning problems in manufacturing and logistics. He has worked on several operations research projects with partners from industry, which covered topics such as railway crew scheduling, predictive maintenance and lot sizing.