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European railway operators’ experience in managing the dependability and safety of technical assets using advanced digital technologies

https://doi.org/10.21683/1729-2646-2020-20-3-27-33

Abstract

Abstract. The Aim of the paper is to analyze and examine the experience of the railway companies of the European Union in designing technical asset management systems based on advanced digital technologies. Railway companies are interested in the development of efficient maintenance and repair strategies that allow increasing the volume of traffic with a high level of safety and reliability using the Big Data produced by diagnostic systems. Methods. A comparative analysis of the best practices by European railway companies was performed, the employed digital technologies were compared, and the best known and commercially available software solutions for constructing an asset management system were reviewed. Findings/ Conclusions. Railway companies will have to make a lot of effort in order to not let the vast current expenditures associated with the digitization go to waste, since the deployment of new technology will meet the resistance of the existing system of management and allocation of responsibilities between levels of management within a company. The generic architecture of the European asset management information framework is a highly diverse range of IT solutions, which is a great challenge, as any modification to the operation of the software system requires significant time, managerial and financial resources. In this context, most successful are the companies that have invested in the development of own digital asset management frameworks.

About the Author

A. M. Zamyshliaev
JSC NIIAS, Russian Federation
Russian Federation

Alexey M. Zamyshliaev, Doctor of Engineering, Deputy Director General

Moscow



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Review

For citations:


Zamyshliaev A.M. European railway operators’ experience in managing the dependability and safety of technical assets using advanced digital technologies. Dependability. 2020;20(3):27-33. https://doi.org/10.21683/1729-2646-2020-20-3-27-33

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ISSN 1729-2646 (Print)
ISSN 2500-3909 (Online)