Development of Innovative Railway Rolling Stock Technologies

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.

• Record URL:
  • https://doi.org/10.1007/978-3-030-37916-2
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9783030379155
• Supplemental Notes:
  • © Springer Nature Switzerland AG 2020.
• Corporate Authors:

  Springer International Publishing

  ,    
• Authors:
  • Bannikov, Dmitry
  • Sirina, Nina
• Conference:
  • VIII International Scientific Siberian Transport Forum (TransSiberia 2019)
  • Location: Novosibirsk , Russia
  • Date: 2019-5-22 to 2019-5-27
• Publication Date: 2020-1

Language

• English

Media Info

• Media Type: Web
• Edition: 1
• Features: References;
• Pagination: pp 401-407
• Monograph Title: VIII International Scientific Siberian Transport Forum: TransSiberia 2019, Volume 1
• Serial:
  • Advances in Intelligent Systems and Computing
  • Volume: 1115
  • Publisher: Springer International Publishing
  • ISSN: 2194-5357
  • Serial URL: http://link.springer.com/bookseries/11156

Subject/Index Terms

• TRT Terms: Decision support systems; Railroad maintenance facilities; Repairing; Rolling stock; Technological innovations; Vehicle maintenance
• Subject Areas: Maintenance and Preservation; Planning and Forecasting; Railroads; Vehicles and Equipment;

Filing Info

• Accession Number: 01899686
• Record Type: Publication
• ISBN: 9783030379155
• Files: TRIS
• Created Date: Nov 17 2023 11:25AM