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Planning Maintenance Actions in Train Operating Companies—A Portuguese Case Study

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Advances in Asset Management and Condition Monitoring

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 166))

Abstract

Maintenance of a large fleet in train operating companies requires careful planning and efficient management of resources. This work presents a mixed-integer linear programming (MILP) model for the optimization of maintenance actions in a train operating company. Constraints associated with the capacity of the maintenance yard are included in the model, as well as other technical constraints. A case study of a Portuguese train operating company with a small-sized fleet is explored. Sensitivity analyses are conducted both on the computational performance of the model and the main cost components of the objective function.

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References

  1. Andrade, A.R., Stow, J.: Statistical modelling of wear and damage trajectories of railway wheelsets. Qual. Reliabil. Eng. Int. 32(8), 2909–2923 (2016)

    Article  Google Scholar 

  2. Andrade, A.R., Stow, J.: Assessing the efficiency of maintenance operators: A case study of turning railway wheelsets on an under-floor wheel lathe. Proc. Inst. Mech. Eng. Part O: J. Risk Reliabil. 231(2), 155–163 (2017)

    Google Scholar 

  3. Andrade, A.R., Stow, J.: Assessing the potential cost savings of introducing the maintenance option of ‘Economic Tyre Turning’in Great Britain railway wheelsets. Reliabil. Eng. Syst. Saf. (2017b)

    Google Scholar 

  4. Bazargan, M.: An optimization approach to aircraft dispatching strategy with maintenance cost–a case study. J. Air Transp. Manage. 42, 10–14 (2015)

    Article  Google Scholar 

  5. Bohlin, M., Wärja, M.: Maintenance optimization with duration-dependent costs. Ann. Oper. Res. 224(1), 1–23 (2015)

    Article  MathSciNet  Google Scholar 

  6. Borndörfer, R., Reuther, M., Schlechte, T., Weider, S.: A hypergraph model for railway vehicle rotation planning. In: OASIcs-OpenAccess Series in Informatics, vol. 20. Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik (2011)

    Google Scholar 

  7. Budai, G., Huisman, D., Dekker, R.: Scheduling preventive railway maintenance activities. J. Oper. Res. Soc. 57(9), 1035–1044 (2006)

    Article  Google Scholar 

  8. Caprara, A., Monaci, M., Toth, P., Guida, P.L.: A Lagrangian heuristic algorithm for a real-world train timetabling problem. Discrete Appl. Math. 154(5), 738–753 (2006)

    Article  MathSciNet  Google Scholar 

  9. Doganay, K., Bohlin, M.: Maintenance plan optimization for a train fleet. WIT Trans. Built. Environ. 114(12), 349–358 (2010)

    Article  Google Scholar 

  10. FICO® Xpress Optimization Suite, Educational license. http://www.fico.com/en/products/fico-xpress-optimization-suite

  11. Forsgren, M., Aronsson, M., Gestrelius, S.: Maintaining tracks and traffic flow at the same time. J. Rail Transp. Plann. Manage. 3(3), 111–123 (2013)

    Article  Google Scholar 

  12. Giacco, G.L., D’Ariano, A., Pacciarelli, D.: Rolling stock rostering optimization under maintenance constraints. J. Intell. Transp. Syst. 18(1), 95–105 (2014)

    Article  Google Scholar 

  13. Haghani, A., Shafahi, Y.: Bus maintenance systems and maintenance scheduling: model formulations and solutions. Transp. Res. Part A: Policy Pract. 36(5), 453–482 (2002)

    Google Scholar 

  14. Lai, Y.C.R., Wang, S.W., Huang, K.L.: Optimized train-set rostering plan for taiwan high-speed rail. IEEE Trans. Autom. Sci. Eng. 14(1), 286–298 (2017)

    Article  Google Scholar 

  15. Lee, J., Ni, J., Djurdjanovic, D., Qiu, H., Liao, H.: Intelligent prognostics tools and e-maintenance. Comput. Ind. 57(6), 476–489 (2006)

    Article  Google Scholar 

  16. Lidén, T., Joborn, M.: Dimensioning windows for railway infrastructure maintenance: cost efficiency versus traffic impact. J. Rail Transp. Plann. Manage. 6(1), 32–47 (2016)

    Article  Google Scholar 

  17. Marinov, M., Viegas, J.: A mesoscopic simulation modelling methodology for analyzing and evaluating freight train operations in a rail network. Simul. Model. Pract. Theory 19(1), 516–539 (2011)

    Article  Google Scholar 

  18. Maróti, G., Kroon, L.G.: Maintenance routing for train units: the scenario model. CWI. Probab. Netw. Algorithms [PNA] (E 0414) (2004)

    Google Scholar 

  19. Maróti, G., Kroon, L.: Maintenance routing for train units: the transition model. Transp. Sci. 39(4), 518–525 (2005)

    Article  Google Scholar 

  20. Maróti, G., Kroon, L.: Maintenance routing for train units: the interchange model. Comput. Oper. Res. 34(4), 1121–1140 (2007)

    Article  Google Scholar 

  21. Santos, R., Teixeira, P.F., Antunes, A.P.: Planning and scheduling efficient heavy rail track maintenance through a decision rules model. Res. Transp. Econ. 54, 20–32 (2015)

    Article  Google Scholar 

  22. Thorlacius, P., Larsen, J., Laumanns, M.: An integrated rolling stock planning model for the Copenhagen suburban passenger railway. J. Rail Transp. Plann. Manage. 5(4), 240–262 (2015)

    Article  Google Scholar 

  23. Tréfond, S., Billionnet, A., Elloumi, S., Djellab, H., Guyon, O.: Optimization and simulation for robust railway rolling-stock planning. J. Rail Transp. Plann. Manage. 7, 33–49 (2017)

    Article  Google Scholar 

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Acknowledgements

The authors would like to thank the support of Fertagus train operating company, namely in the individuals Eng. João Grossinho and Eng. João Duarte, who offered us several maintenance yard visits at Coina (Portugal) as well as valuable advice. Moreover, we also want to thank two anonymous reviewers for their attentive reading and suggestions to improve our work. This research is also part of the SMaRTE project that received funding from the Shift2Rail Joint Undertaking under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 777627. The second author was also supported by FCT, through IDMEC, under LAETA, project UID/EMS/50022/2013.

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Correspondence to António R. Andrade .

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Méchain, M., Andrade, A.R., Gomes, M.C. (2020). Planning Maintenance Actions in Train Operating Companies—A Portuguese Case Study. In: Ball, A., Gelman, L., Rao, B. (eds) Advances in Asset Management and Condition Monitoring. Smart Innovation, Systems and Technologies, vol 166. Springer, Cham. https://doi.org/10.1007/978-3-030-57745-2_96

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  • DOI: https://doi.org/10.1007/978-3-030-57745-2_96

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-57744-5

  • Online ISBN: 978-3-030-57745-2

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