Solving Practical Railway Crew Scheduling Problems with Attendance Rates

Kirsten Hoffmann (), Udo Buscher (), Janis Sebastian Neufeld () and Felix Tamke ()
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Kirsten Hoffmann: Lehrstuhl für BWL, insbes. Industrielles Management
Udo Buscher: Lehrstuhl für BWL, insbes. Industrielles Management
Janis Sebastian Neufeld: Lehrstuhl für BWL, insbes. Industrielles Management
Felix Tamke: Lehrstuhl für BWL, insbes. Industrielles Management

Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, 2017, vol. 59, issue 3, No 3, 147-159

Abstract: Abstract Arising from a practical problem in German rail passenger transport, a prototype for a multi-period railway crew scheduling problem with attendance rates for conductors is developed and evaluated in this paper. The consideration of attendance rates is of increasing importance in regional transport networks and requires decision support. For this purpose business analytics is applied in order to offer an approach to transform real-world data to concrete operational decision support (action). The focus here is on the analysis step using a new set covering model with several essential restrictions integrated for the first time. A hybrid column generation approach is applied, which solves the pricing problem by means of a genetic algorithm. The artifact is evaluated with the help of a case study of three real-world transport networks. It is shown that the hybrid solution approach is able to solve the problem more effectively and efficiently compared to conventional approaches used in practice.

Keywords: Railway crew scheduling; Attendance rates; Column generation; Case study; Genetic algorithm (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s12599-017-0470-8

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