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Technical Asset Management for Railway Transport: International Series in Operations Research & Management Science

Autor Igor Borisovich Shubinsky, Alexei Mikhailovitch Zamyshlaev
en Limba Engleză Paperback – 5 ian 2023
This book introduces readers to the key provisions of the URRAN-based technical asset management system - a methodology for managing resources and risks by analyzing and ensuring the required levels of reliability and safety in Russia’s railway transport facilities. It describes the architecture of the URRAN information system’s unified corporate platform (UCP URRAN) and its subsystems for infrastructure facilities and rolling stock complexes. It also highlights the UCP URRAN’s prospects for development, especially in the application of artificial intelligence to predict dangerous events in railway transport operation.
The book is chiefly intended for specialists engaged in practical work on the technical maintenance of railway transport facilities. It can also be used as a reference guide for students and researchers at railway universities or professionals who are dealing with problems in technical asset management in other industries.

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Specificații

ISBN-13: 9783030900311
ISBN-10: 3030900312
Pagini: 236
Ilustrații: XIV, 219 p. 55 illus., 46 illus. in color.
Dimensiuni: 155 x 235 x 13 mm
Greutate: 0.37 kg
Ediția:1st ed. 2022
Editura: Springer
Seria International Series in Operations Research & Management Science

Locul publicării:Cham, Switzerland

Cuprins

1. Introduction.- 2. Problems of Managing Technical Assets in Railway Domain.- 3. Conceptual Provisions for Integrated Risk-Based Management of Reliability, Safety, and Resources.- 4. Basic Concepts and Indicators of Dependability and Functional Safety of Railway Transport Facilities.- 5. Standardization of the Facilities of Railway Transport and the Normalization of Dependability Indicators.- 6. Fundamentals of Management of Technical and Industrial Risks on Railway Transport.- 7. Resource Management of Railway Transport Facilities.- 8. Assessment of the Activities of Structural Divisions of Railway Transport.- 9. Unified Corporate Platform URRAN (UCP URRAN).- 10. Conclusion.

Notă biografică

 Dr. Igor Borisovich Shubinsky is a Professor and Division Manager at the joint stock company “Design & Research Institute for Information Technology, Signalling and Telecommunications on Railway Transport” (JSC NIIAS), Russia. He is an expert on the Scientific Council under the Security Council of the Russian Federation, and Editor-in-Chief of the journal "Dependability".
Dr. Alexei Mikhailovitch Zamyshlyaev was Deputy Director General of the joint stock company “Design & Research Institute for Information Technology, Signalling and Telecommunications on Railway Transport” (JSC NIIAS), Russia.

Textul de pe ultima copertă

This book introduces readers to the key provisions of the URRAN-based technical asset management system - a methodology for managing resources and risks by analyzing and ensuring the required levels of reliability and safety in Russia’s railway transport facilities. It describes the architecture of the URRAN information system’s unified corporate platform (UCP URRAN) and its subsystems for infrastructure facilities and rolling stock complexes. It also highlights the UCP URRAN’s prospects for development, especially in the application of artificial intelligence to predict dangerous events in railway transport operation. The book is chiefly intended for specialists engaged in practical work on the technical maintenance of railway transport facilities. It can also be used as a reference guide for students and researchers at railway universities or professionals who are dealing with problems in technical asset management in other industries.

Caracteristici

Contains information about the unique methodology of railway transport asset management Provides definitions, classification of risks and safety principles used on railway transport among the UIC members Introduces approaches to standardization of railway transport facilities and normalization of reliability indicators