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Solving Practical Railway Crew Scheduling Problems with Attendance Rates

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dc.contributor.authorHoffmann, Kirsten
dc.contributor.authorBuscher, Udo
dc.contributor.authorNeufeld, Janis Sebastian
dc.contributor.authorTamke, Felix
dc.date.accessioned2018-01-08T07:46:55Z
dc.date.available2018-01-08T07:46:55Z
dc.date.issued2017
dc.description.abstractArising 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.
dc.identifier.pissn1867-0202
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/10721
dc.publisherSpringer
dc.relation.ispartofBusiness & Information Systems Engineering: Vol. 59, No. 3
dc.relation.ispartofseriesBusiness & Information Systems Engineering
dc.subjectAttendance rates
dc.subjectCase study
dc.subjectColumn generation
dc.subjectGenetic algorithm
dc.subjectRailway crew scheduling
dc.titleSolving Practical Railway Crew Scheduling Problems with Attendance Rates
dc.typeText/Journal Article
gi.citation.endPage159
gi.citation.startPage147

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BISE 59(3) - June 2017