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DOI: 10.4230/OASIcs.ATMOS.2007.1168

07. Solving Large Scale Crew Scheduling Problems by using Iterative Partitioning

Authors: Erwin Abbink, Joel Van't Wout, and Dennis Huisman

Published in: OASIcs, Volume 7, 7th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'07) (2007)

Abstract

This paper deals with large-scale crew scheduling problems arising at the Dutch railway operator, Netherlands Railways (NS). We discuss several methods to partition large instances into several smaller ones. These smaller instances are then solved with the commercially available crew scheduling algorithm TURNI. In this paper, we compare several partitioning methods with each other. Moreover, we report some results where we applied different partitioning methods after each other. With this approach, we were able to cut crew costs with 2\% (about 6 million euro per year).

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Erwin Abbink, Joel Van't Wout, and Dennis Huisman. 07. Solving Large Scale Crew Scheduling Problems by using Iterative Partitioning. In 7th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'07). Open Access Series in Informatics (OASIcs), Volume 7, pp. 96-106, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2007)

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@InProceedings{abbink_et_al:OASIcs.ATMOS.2007.1168,
  author =	{Abbink, Erwin and Van't Wout, Joel and Huisman, Dennis},
  title =	{{07. Solving Large Scale Crew Scheduling Problems by using Iterative Partitioning}},
  booktitle =	{7th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'07)},
  pages =	{96--106},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-04-0},
  ISSN =	{2190-6807},
  year =	{2007},
  volume =	{7},
  editor =	{Ahuja, Ravindra K. and Liebchen, Christian and Mesa, Juan A.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ATMOS.2007.1168},
  URN =		{urn:nbn:de:0030-drops-11686},
  doi =		{10.4230/OASIcs.ATMOS.2007.1168},
  annote =	{Keywords: Crew scheduling, large-scale optimization, partitioning}
}

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07. Solving Large Scale Crew Scheduling Problems by using Iterative Partitioning

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