For large transportation companies like Deutsche Bahn, process optimization has always been an important task to reduce production costs and obtain a better position in competition. Applying methods of mathematical optimization in practice often is rather difficult though, which may lead to some unique constraints that could make the optimization process rather hard. This contribution shall discuss some practical issues for mathematical optimization at Deutsche Bahn and will give some examples.
@InProceedings{schuelldorf:DagSemProc.09261.21, author = {Schuelldorf, Hanno}, title = {{Optimization at Deutsche Bahn: Aspects and Examples}}, booktitle = {Models and Algorithms for Optimization in Logistics}, pages = {1--6}, series = {Dagstuhl Seminar Proceedings (DagSemProc)}, ISSN = {1862-4405}, year = {2009}, volume = {9261}, editor = {Cynthia Barnhart and Uwe Clausen and Ulrich Lauther and Rolf H. M\"{o}hring}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.09261.21}, URN = {urn:nbn:de:0030-drops-21749}, doi = {10.4230/DagSemProc.09261.21}, annote = {Keywords: Deutsche Bahn, simulation, optimzation, practical aspects} }
Feedback for Dagstuhl Publishing