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Strategic Planning of Depots for a Railway Crew Scheduling Problem

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Operations Research Proceedings 2019

Part of the book series: Operations Research Proceedings ((ORP))

Abstract

This paper presents a strategic depot planning approach for a railway crew scheduling problem integrated in a column generation framework. Since the integration strongly weakens the relaxation of the master problem we consider different variants for strengthening the formulation. In addition, the problem can be sufficiently simplified by using a standard day at the strategic level. Based on a case study for an exemplary real-life instance, we can show that a proper pre-selection of depots reduces the number of needed depots significantly with the same personnel costs.

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References

  1. Ahuja, R.K., Liu, J., Orlin, J.B., Sharma, D., Shugart, L.A.: Solving real-life locomotive-scheduling problems. Transp. Sci. 39(4), 503–517 (2005)

    Google Scholar 

  2. Dijkstra, E.W.: A note on two problems in connexion with graphs. Numer. Math. 1(1), 269–271 (1959)

    Google Scholar 

  3. Heil, J., Hoffmann, K., Buscher, U.: Railway crew scheduling: Models, methods and applications. Eur. J. Oper. Res. 283(2), 405–425 (2020)

    Google Scholar 

  4. Hoffmann, K., Buscher, U., Neufeld, J.S., Tamke, F.: Solving practical railway crew scheduling problems with attendance rates. Bus. Inf. Syst. Eng. 59(3), 147–159 (2017)

    Google Scholar 

  5. Huisman, D.: A column generation approach for the rail crew re-scheduling problem. Eur. J. Oper. Res. 180(1), 163–17 (2007)

    Google Scholar 

  6. Shen, Y., Chen, S.: A column generation algorithm for crew scheduling with multiple additional constraints. Pac. J. Optim. 10, 113–136 (2014)

    Google Scholar 

  7. Suyabatmaz, A.C., Güvenç, S.: Railway crew capacity planning problem with connectivity of schedules. Transp. Res. E Log. Transp. Rev. 84, 88–100 (2015)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Fakultät Wirtschaftswissenschaften, Lehrstuhl für BWL, insb. Industrielles Management, Technische Universität Dresden, Dresden, Germany

    Martin Scheffler

Authors
  1. Martin Scheffler
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Correspondence to Martin Scheffler .

Editor information

Editors and Affiliations

  1. Faculty of Business and Economics, TU Dresden, Dresden, Germany

    Janis S. Neufeld

  2. Faculty of Business and Economics, TU Dresden, Dresden, Germany

    Udo Buscher

  3. Faculty of Business and Economics, TU Dresden, Dresden, Germany

    Rainer Lasch

  4. Faculty of Business and Economics, TU Dresden, Dresden, Germany

    Dominik Möst

  5. Faculty of Transportation and Traffic, TU Dresden, Dresden, Germany

    Jörn Schönberger

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© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

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Scheffler, M. (2020). Strategic Planning of Depots for a Railway Crew Scheduling Problem. In: Neufeld, J.S., Buscher, U., Lasch, R., Möst, D., Schönberger, J. (eds) Operations Research Proceedings 2019. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-030-48439-2_95

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