Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH scholarly article en Abbink, Erwin; Van't Wout, Joel; Huisman, Dennis License: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported license (CC BY-NC-ND 3.0)
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URN: urn:nbn:de:0030-drops-11686

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



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).

BibTeX - Entry

  author =	{Erwin Abbink and Joel Van't Wout and Dennis Huisman},
  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)},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-04-0},
  ISSN =	{2190-6807},
  year =	{2007},
  volume =	{7},
  editor =	{Christian Liebchen and Ravindra K. Ahuja and Juan A. Mesa},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{},
  URN =		{urn:nbn:de:0030-drops-11686},
  doi =		{10.4230/OASIcs.ATMOS.2007.1168},
  annote =	{Keywords: Crew scheduling, large-scale optimization, partitioning}

Keywords: Crew scheduling, large-scale optimization, partitioning
Seminar: 7th Workshop on Algorithmic Methods and Models for Optimization of Railways (ATMOS'07)
Issue date: 2007
Date of publication: 06.11.2007

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