Advertisement

Smart Asset Management or Smart Operation Management? The Netherlands Railways Case

  • Leo A. M. van DongenEmail author
  • Lex Frunt
  • Alberto Martinetti
Chapter
Part of the Asset Analytics book series (ASAN)

Abstract

Asset Management represents a key factor in the transportation sector, especially in the railway domain. The proper interaction between asset owner, user, asset manager and operator determines the success of the daily operations and of the long-term strategy as well. Through the years, this balance has been often neglected causing situations where the service was not reliable enough or not safe enough. In this context, maintenance operations play a significant role. The chapter introduces how smart asset management and smart operations management have been implemented in the last two decades within Netherlands Railways. First, an introduction on the company and on the methodology based on ISO 55000: 2014 Standard is offered. Second, an overview of the fleet management and development is discussed. Thirdly, a full reflection on the different levels of performance management is highlighted for underlining all the principles used for reaching short, medium and long-term strategy results. Lastly, the chapter will pinpoint the benefit of introducing dynamic maintenance planning and prognostics and health monitoring as future step to take in order to facilitate a continuous improvement.

Keywords

Rolling stock Smart asset management Smart operations management Netherlands Railways 

References

  1. Berger, A. (1997). Continuous improvement and Kaizen: Standardization and organizational designs. Integrated Manufacturing Systems, 8(2), 110–117.  https://doi.org/10.1108/09576069710165792.CrossRefGoogle Scholar
  2. Hasle, P., Bojesen, A., Langaa Jensen, P., & Bramming, P. (2012). Lean and the working environment: A review of the literature. International Journal of Operations & Production Management, 32(7), 829–849.  https://doi.org/10.1108/01443571211250103.CrossRefGoogle Scholar
  3. International Standard Organization. (2014). ISO 55000:2014—Asset management—Overview, principles and terminology.Google Scholar
  4. Lee, W. J. (2017). Anomaly detection and severity prediction of air leakage in train braking pipes. International Journal of Prognostics and Health Management, 21. ISSN 2153-2648.Google Scholar
  5. Mooren Ceng, F. P. J. H, & van Dongen, L. A. M. (2013). Application of remote condition monitoring in different rolling stock life cycle phases. In R. Roy, A. Tiwari, A. Shaw, C. Bell, & P. Phillips (Eds.), Proceedings of the 2nd International Through-Life Engineering Services Conference (pp. 135–138) (Procedia CIRP, Vol. 11). Cranfield: Elsevier Ltd.  https://doi.org/10.1016/j.procir.2013.07.050.CrossRefGoogle Scholar
  6. Mulder, W., Basten, R. J. I., Jauregui Becker, J. M., & van Dongen, L. A. M. (2013). Work in progress: Developing tools that support the design of easily maintainable rolling stock. In R. Roy, A. Tiwari, A. Shaw, C. Bell, & P. Phillips (Eds.), Proceedings of the 2nd International Through-Life Engineering Services Conference (pp. 204–206) (Procedia CIRP, Vol. 11). Cranfield: Elsevier Ltd.  https://doi.org/10.1016/j.procir.2013.07.034.CrossRefGoogle Scholar
  7. Parada Puig, J. E., Basten, R. J. I., & van Dongen, L. A. M. (2013). Investigating maintenance decisions during initial fielding of rolling stock. In R. Roy, A. Tiwari, A. Shaw, C. Bell, & P. Phillips (Eds.), Proceedings of the 2nd International Through-Life Engineering Services Conference (pp. 199–203) (Procedia CIRP, Vol. 11). Cranfield: Elsevier Ltd.  https://doi.org/10.1016/j.procir.2013.07.033.CrossRefGoogle Scholar
  8. Peters, M. F. E. (2017). Early warnings for failing train axle bearings based on temperature. International Journal of Prognostics and Health Management, 21. ISSN 2153-2648.Google Scholar
  9. Reyes Garcia, J. R., Martinetti, A., Jauregui Becker, J. M., Singh, S., & van Dongen, L. A. M. (2019). Towards an industry 4.0-based maintenance approach in the manufacturing processes. In V. González-Prida Diaz & J. P. Zamora Bonilla (Eds.), Handbook of research on industrial advancement in scientific knowledge (pp. 135–159). IGI Global.  https://doi.org/10.4018/978-1-5225-7152-0.ch008.Google Scholar
  10. Russo, J. E., & Schoemaker, O. J. H. (2002). Winning decisions: Getting it right the first time. New York, US: Currency Doubleday.Google Scholar
  11. van Dongen, L. A. M. (2011). Maintenance engineering: Maintaining links. University of Twente, Inaugural lecture 9th June 2011.Google Scholar
  12. van Dongen, L. A. M. (2015a). Asset management: A maintenance engineer’s view. International Journal of Performability Engineering, 11(2), 181–197.Google Scholar
  13. van Dongen, L. A. M. (2015b). Through-life engineering services: The Ned-Train case. In L. Redding & R. Roy (Eds.), Through-life engineering services: Motivation, theory, and practice. Decision engineering (pp. 29–51). Springer.  https://doi.org/10.1007/978-3-319-12111-6_3.Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Leo A. M. van Dongen
    • 1
    • 2
    Email author
  • Lex Frunt
    • 2
  • Alberto Martinetti
    • 1
  1. 1.Maintenance Engineering GroupUniversity of TwenteEnschedeThe Netherlands
  2. 2.Netherlands RailwaysUtrechtThe Netherlands

Personalised recommendations