Operations Research Proceedings 2016

1. Front Matter

   Pages i-xiv

   PDF

2. Dissertation Prizes

   1. Front Matter

      Pages 1-1

      PDF

   2. An Optimal Expansion Strategy for the German Railway Network Until 2030

      • Andreas Bärmann

      Pages 3-8

   3. On- and Offline Scheduling of Bidirectional Traffic

      • Elisabeth Lübbecke

      Pages 9-15

   4. Integrated Segmentation of Supply and Demand with Service Differentiation

      • Benedikt Schulte

      Pages 17-22

3. Master’s Thesis Prizes

   1. Front Matter

      Pages 23-23

      PDF

   2. Improved Compact Models for the Resource-Constrained Project Scheduling Problem

      • Alexander Tesch

      Pages 25-30

   3. A Precious Mess: On the Scattered Storage Assignment Problem

      • Felix Weidinger

      Pages 31-36

   4. Integrated Location-Inventory Optimization in Spare Parts Networks

      • Patrick Zech

      Pages 37-42

4. Business Analytics and Forecasting

   1. Front Matter

      Pages 43-43

      PDF

   2. Towards Mathematical Programming Methods for Predicting User Mobility in Mobile Networks

      • Alberto Ceselli, Marco Premoli

      Pages 45-50

   3. Statistics Instead of Stopover—Range Predictions for Electric Vehicles

      • Christian Kluge, Stefan Schuster, Diana Sellner

      Pages 51-56

   4. Improving the Forecasting Accuracy of 2-Step Segmentation Models

      • Friederike Paetz

      Pages 57-62

   5. Field Service Technician Management 4.0

      • Michael Vössing, Johannes Kunze von Bischhoffshausen

      Pages 63-68

5. Decision Theory and Multiple Criteria Decision Making

   1. Front Matter

      Pages 69-69

      PDF

   2. Optimal Placement of Weather Radars Network as a Multi-objectives Problem

      • Redouane Boudjemaa

      Pages 71-76

   3. Building Decision Making Models Through Conceptual Constraints: Multi-scale Process Model Implementations

      • Canan Dombayci, Antonio Espuña

      Pages 77-83

   4. Methods of Tropical Optimization in Rating Alternatives Based on Pairwise Comparisons

      • Nikolai Krivulin

      Pages 85-91

6. Discrete and Integer Optimization

   1. Front Matter

      Pages 93-93

      PDF

   2. New Constraints and Features for the University Course Timetabling Problem

      • M. Aschinger, S. Applebee, A. Bucur, H. Edmonds, P. Hungerländer, K. Maier

      Pages 95-101

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.

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

• Institute of Computer Science, Helmut Schmidt University, Institute of Computer Science, Hamburg, Germany

  Andreas Fink

• Applied Mathematics, Helmut Schmidt University, Applied Mathematics, Hamburg, Germany

  Armin Fügenschuh

• Institute of Logistics and Organization, Helmut Schmidt University, Institute of Logistics and Organization, Hamburg, Germany

  Martin Josef Geiger

Andreas Fink is professor and holds the Chair of Business Administration, in particular Information Systems Research, at the Helmut Schmidt University Hamburg, Germany. He holds diploma degrees in Business Administration and Computer Science from the University of Technology Darmstadt, a doctorate in Economics from the Braunschweig University of Technology and a habilitation degree from the University of Hamburg. His research is mainly concerned with the use of information technology to support decision-making.

Armin Fügenschuh is professor for Applied Mathematics at Helmut Schmidt University Hamburg, Germany, since 2013. He graduated with a diploma in Mathematics in Oldenburg in 2000 and received a doctoral degree (Dr. rer. nat.) at the Technische Universität Darmstadt in 2005. Between 2005 and 2013 he worked on postdoc positions at the Technische Universität Darmstadt, the Zuse Institute Berlin, the Georgia Institute of Technology, and the Friedrich-Alexander-Universität Erlangen-Nuremberg. In 2011 he finished his habilitation and received a venia legendi from the Technische Universität Berlin. His area of research is mixed-integer linear and nonlinear optimization and its application to real-world and engineering problems.

Martin Josef Geiger is professor and holds the chair of Business Administration/Logistics Management at Helmut Schmidt University Hamburg, Germany. His formal qualifications comprise a Doctoral degree (Dr. oec.) and a Habilitation, both from the University of Hohenheim, Stuttgart. Prof. Geiger is an active researcher in the area of multi criteria decision making and multi objective optimization, and has contributed to various recent optimization problems in scheduling, vehicle routing, and timetabling.

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