Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Juli 2017
Genre:	Wirtschaft / Recht
	Big Data / Big Data/Analytics / Business and Management / Business mathematics & systems / C / Computer modelling & simulation / computer science / Computer simulation / Decision Making / Engineering economics / Engineering Economics, Organization, Logistics, Marketing / Engineering economy / Engineering# general / Industrial Management / IT in Business / Management & management techniques / Management decision making / Management of specific areas / Management science / Operational research / Operations Management / Operations Research / Operations Research and Decision Theory / Operations Research, Management Science / Operations Research/Decision Theory / Production management / Simulation and Modeling mehr...
ISBN:	9783319557014
EAN-Code:	9783319557014
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	Operations Research Proceedings
Dimensionen:	H 235 mm / B 155 mm / D 40 mm
Gewicht:	1361 gr
Seiten:	658
Illustration:	XIV, 658 p. 105 illus., 9 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.