Strategic Planning of Rolling Stock Rotations for Public Tenders

Timo Berthold
Fair Isaac Germany GmbH c/o Zuse Institute Berlin, Berlin, Germany

Boris Grimm
Optimization, Zuse Institute Berlin, Berlin, Germany

Markus Reuther
LBW Optimization GmbH, Berlin, Germany

Stanley Schade
Optimization, Zuse Institute Berlin, Berlin, Germany

Thomas Schlechte
LBW Optimization GmbH, Berlin, Germany

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Ingår i: RailNorrköping 2019. 8th International Conference on Railway Operations Modelling and Analysis (ICROMA), Norrköping, Sweden, June 17th – 20th, 2019

Linköping Electronic Conference Proceedings 69:9, s. 128-139

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Publicerad: 2019-09-13

ISBN: 978-91-7929-992-7

ISSN: 1650-3686 (tryckt), 1650-3740 (online)


Since railway companies have to apply for long-term public contracts to operate railway lines in public tenders, the question how they can estimate the operating cost for long-term periods adequately arises naturally. We consider a rolling stock rotation problem for a time period of ten years, which is based on a real world instance provided by an industry partner. We use a two stage approach for the cost estimation of the required rolling stock. In the first stage, we determine a weekly rotation plan. In the second stage, we roll out this weekly rotation plan for a longer time period and incorporate scheduled maintenance treatments. We present a heuristic approach and a mixed integer programming model to implement the process of the second stage. Finally, we discuss computational results for a real world tendering scenario.


Rolling Stock Rotation Planning, Strategic Planning, Longterm, Maintenance


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