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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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
Evseev, D.G.: Evolution of organization of repair of rolling stock of science and transport technique. World Transp. Transp. J. 3, 134–139 (2014)
Sirina, N.F.: Modeling of the car-repair complex control. Vestnik of the Ural State University of Railway Transport 2, 16–24 (2009)
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
Normative service life of machinery and equipment (developed by the Ministry of Heavy and Transport Engineering)
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
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
Maier, R.: Knowledge Management Systems: Information and Communication Technologies for Knowledge Management, Berlin (2009). https://doi.org/10.1007/978-3-540-24779-1
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
Osaki, S., Nakagawa, T.: Bibliography for reliability and availability of stochastic systems. IEEE Trans. Reliab. 25, 284–287 (1976)
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
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)
Cho, D.I., Parlar, M.: A survey of maintenance models for multiunit systems. Eur. J. Oper. Res. 51, 1–23 (1991)
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
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
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
Download citation
DOI: https://doi.org/10.1007/978-3-030-37916-2_39
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-37915-5
Online ISBN: 978-3-030-37916-2
eBook Packages: EngineeringEngineering (R0)