Operations research proceedings 2016 : selected papers of the annual International Conference of the German Operations Research Society (GOR), Helmut Schmidt University Hamburg, Germany, August 30 - September 2, 2016 /

Operations research proceedings 2016 : selected papers of the annual International Conference of the German Operations Research Society (GOR), Helmut Schmidt University Hamburg, Germany, August 30 - September 2, 2016 /

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Bibliographic Details
Imprint:	Cham, Switzerland : Springer, [2018] ©2018
Description:	1 online resource
Language:	English
Series:	Operations Research Proceedings, GOR (Gesellschaft für Operations Research e.V.), 0721-5924 Operations Research Proceedings, GOR (Gesellschaft für Operations Research e.V.),
Subject:	Operations research. Decision making. Business. Production management. Big data. Computer simulation. Management science. Engineering economy. Big data. Business. Computer simulation. Decision making. Engineering economy. Management science. Operations research. Production management.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11541351

Hidden Bibliographic Details
Other authors / contributors:	Fink, Andreas, editor. Fügenschuh, Armin, editor. Geiger, Martin Josef, editor. International Conference on Operations Research (2016 : Helmut Schmidt University)
ISBN:	9783319557021 3319557025 9783319557014 3319557017
Digital file characteristics:	text file PDF
Notes:	Includes bibliographical references. Vendor-supplied metadata.
Summary:	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.
Other form:	Printed edition: 9783319557014
Standard no.:	10.1007/978-3-319-55702-1 10.1007/978-3-319-55