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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Andrade, A.R., Stow, J.: Statistical modelling of wear and damage trajectories of railway wheelsets. Qual. Reliabil. Eng. Int. 32(8), 2909–2923 (2016)
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)
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)
Bazargan, M.: An optimization approach to aircraft dispatching strategy with maintenance cost–a case study. J. Air Transp. Manage. 42, 10–14 (2015)
Bohlin, M., Wärja, M.: Maintenance optimization with duration-dependent costs. Ann. Oper. Res. 224(1), 1–23 (2015)
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)
Budai, G., Huisman, D., Dekker, R.: Scheduling preventive railway maintenance activities. J. Oper. Res. Soc. 57(9), 1035–1044 (2006)
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)
Doganay, K., Bohlin, M.: Maintenance plan optimization for a train fleet. WIT Trans. Built. Environ. 114(12), 349–358 (2010)
FICO® Xpress Optimization Suite, Educational license. http://www.fico.com/en/products/fico-xpress-optimization-suite
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)
Giacco, G.L., D’Ariano, A., Pacciarelli, D.: Rolling stock rostering optimization under maintenance constraints. J. Intell. Transp. Syst. 18(1), 95–105 (2014)
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)
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)
Lee, J., Ni, J., Djurdjanovic, D., Qiu, H., Liao, H.: Intelligent prognostics tools and e-maintenance. Comput. Ind. 57(6), 476–489 (2006)
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)
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)
Maróti, G., Kroon, L.G.: Maintenance routing for train units: the scenario model. CWI. Probab. Netw. Algorithms [PNA] (E 0414) (2004)
Maróti, G., Kroon, L.: Maintenance routing for train units: the transition model. Transp. Sci. 39(4), 518–525 (2005)
Maróti, G., Kroon, L.: Maintenance routing for train units: the interchange model. Comput. Oper. Res. 34(4), 1121–1140 (2007)
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)
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)
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)
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-030-57745-2_96
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-57744-5
Online ISBN: 978-3-030-57745-2
eBook Packages: EngineeringEngineering (R0)