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

  • Andreas Fink
  • Armin Fügenschuh
  • Martin Josef Geiger
Conference proceedings

Part of the Operations Research Proceedings book series (ORP)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Dissertation Prizes

  3. Master’s Thesis Prizes

  4. Business Analytics and Forecasting

    1. Front Matter
      Pages 43-43
    2. Christian Kluge, Stefan Schuster, Diana Sellner
      Pages 51-56
    3. Michael Vössing, Johannes Kunze von Bischhoffshausen
      Pages 63-68
  5. Decision Theory and Multiple Criteria Decision Making

  6. Discrete and Integer Optimization

    1. Front Matter
      Pages 93-93
    2. M. Aschinger, S. Applebee, A. Bucur, H. Edmonds, P. Hungerländer, K. Maier
      Pages 95-101

About these proceedings

Introduction

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.

Keywords

Business Analytics Decision support Optimization and simulation Transportation Logistics scheduling OR applications in production OR applications in supply chains OR applications using Big Data

Editors and affiliations

  • Andreas Fink
    • 1
  • Armin Fügenschuh
    • 2
  • Martin Josef Geiger
    • 3
  1. 1.Institute of Computer ScienceHelmut Schmidt University, Institute of Computer ScienceHamburgGermany
  2. 2.Applied MathematicsHelmut Schmidt University, Applied MathematicsHamburgGermany
  3. 3.Institute of Logistics and OrganizationHelmut Schmidt University, Institute of Logistics and OrganizationHamburgGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-55702-1
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Business and Management
  • Print ISBN 978-3-319-55701-4
  • Online ISBN 978-3-319-55702-1
  • Series Print ISSN 0721-5924
  • Series Online ISSN 2197-9294
  • About this book