A Solution Approach for Railway Crew Scheduling with Attendance Rates for Multiple Networks

Julia Heil ()
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Julia Heil: TU Dresden

A chapter in Operations Research Proceedings 2018, 2019, pp 547-553 from Springer

Abstract: Abstract This paper deals with railway crew scheduling with attendance rates for multiple networks, a problem arising at a German railway operator. We discuss the particularities of the multi-network crew scheduling problem and present a set covering formulation with network-specific constraints. We present and compare two solution approaches: a hybrid column generation approach with genetic algorithm and a novel two-phase optimization method based on the algorithm above and a partitioning-and-re-combining strategy. Computational experiments with a real 1-day case of 12 networks show that the two-phase optimization method performs best in both computational time and best solution found. Moreover, collective crew scheduling over multiple networks reduces personnel cost by 2%.

Keywords: Railways; Crew scheduling; Large-scale optimization (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-030-18500-8_68

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DOI: 10.1007/978-3-030-18500-8_68

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