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Development of Innovative Railway Rolling Stock Technologies

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VIII International Scientific Siberian Transport Forum (TransSiberia 2019)

Abstract

Approaches to the management of maintenance and repair of rolling stock are now increasingly being developed into management decision support systems. The given article is directed on studying of innovative technologies on an example of service maintenance service and repair of a rolling stock. The model of service maintenance and repair of rolling stock is able to dynamically optimize management decisions on management of multi-component system during the whole life cycle. This model is based on monitoring and dynamic grouping of the operations under consideration. Dynamic grouping includes short-term information about the use of rolling stock, as well as unexpected failures of rolling stock. The method of dynamic optimization of service maintenance and repair uses a priori reliability characteristics to update the planning of maintenance or repair at the time of making management decisions. The simulation model will allow to display the system and obtain technical and economic indicators of efficiency of the service maintenance strategy functioning. The modeling results will allow transport companies to evaluate the service maintenance and repair strategy, which will influence the management decision making.

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References

  1. Bannikov, D., Sirina, N.: Model of passenger rolling stock maintenance. In: MATEC Web of Conferences Polytransport Systems, vol. 216, p. 022018 (2018). https://doi.org/10.1051/matecconf/201821602018

    Article  Google Scholar 

  2. Evseev, D.G.: Evolution of organization of repair of rolling stock of science and transport technique. World Transp. Transp. J. 3, 134–139 (2014)

    Google Scholar 

  3. Sirina, N.F.: Modeling of the car-repair complex control. Vestnik of the Ural State University of Railway Transport 2, 16–24 (2009)

    Google Scholar 

  4. On introduction of a new system of maintenance and repair of passenger cars. Order of the Ministry of Railways of the Russian Federation of 04.04.1997 No. 9C, 13 January 2011

    Google Scholar 

  5. Normative service life of machinery and equipment (developed by the Ministry of Heavy and Transport Engineering)

    Google Scholar 

  6. Lee, E.A.: What is real time computing? A personal view. IEEE Des. Test 35(2), 64–72 (2017). https://doi.org/10.1007/978-3-030-00151-3_2

    Article  Google Scholar 

  7. Lee, E.A., Seshia, S.A.: Introduction to Embedded Systems. A Cyber-Physical Systems Approach, vol. 54, no. 4, pp. 517–526 (2017) https://doi.org/10.1007/s10559-018-0053-9

    Article  MathSciNet  Google Scholar 

  8. Maier, R.: Knowledge Management Systems: Information and Communication Technologies for Knowledge Management, Berlin (2009). https://doi.org/10.1007/978-3-540-24779-1

    Book  Google Scholar 

  9. Pierskalla, W.P., Voelker, J.A.: A survey of maintenance models: the control and surveillance of deteriorating systems. Naval Res. Logistics Q. 23, 353–388 (1976). https://doi.org/10.1002/nav.3800230302

    Article  MathSciNet  MATH  Google Scholar 

  10. Osaki, S., Nakagawa, T.: Bibliography for reliability and availability of stochastic systems. IEEE Trans. Reliab. 25, 284–287 (1976)

    Article  Google Scholar 

  11. Sherif, Y.S., Smith, M.L.: Optimal maintenance models for systems subject to failure–a review. Naval Res. Logistics Q. 28, 47–74 (1981). https://doi.org/10.1002/nav.3800280104

    Article  MathSciNet  MATH  Google Scholar 

  12. Valdez-Flores, C., Feldman, R.M.: A survey of preventive maintenance models for stochastically deteriorating single-unit systems. Naval Res. Logistics 36, 419–446 (1989)

    Article  MathSciNet  Google Scholar 

  13. Cho, D.I., Parlar, M.: A survey of maintenance models for multiunit systems. Eur. J. Oper. Res. 51, 1–23 (1991)

    Article  Google Scholar 

  14. Bannikov, D., Galkin, A., Sirina, N.: Calculation algorithm of organization of service technical maintenance and repair of passenger rolling stock. Transp. Urals 4(55), 31–35 (2017). https://doi.org/10.20291/1815-9400-2017-4-31-35

    Article  Google Scholar 

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Correspondence to Dmitry Bannikov .

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Bannikov, D., Sirina, N. (2020). Development of Innovative Railway Rolling Stock Technologies. In: Popovic, Z., Manakov, A., Breskich, V. (eds) VIII International Scientific Siberian Transport Forum. TransSiberia 2019. Advances in Intelligent Systems and Computing, vol 1115. Springer, Cham. https://doi.org/10.1007/978-3-030-37916-2_39

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  • DOI: https://doi.org/10.1007/978-3-030-37916-2_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37915-5

  • Online ISBN: 978-3-030-37916-2

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