Igor Borisovich Shubinsky,Alexei Mikhailovitch Zamyshlaev
Technical Asset Management for Railway Transport: Using the URRAN Approach
Technical Asset Management for Railway Transport: Using the URRAN Approach
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- More about Technical Asset Management for Railway Transport: Using the URRAN Approach
The book provides an introduction to the URRAN-based technical asset management system, which is a methodology for managing resources and risks in Russia's railway transport facilities. It describes the architecture of the URRAN information systems unified corporate platform (UCP URRAN) and its subsystems for infrastructure facilities and rolling stock complexes. It also highlights the potential of artificial intelligence in predicting dangerous events in railway transport operations. The book is intended for specialists and students in the field.
Format: Paperback / softback
Length: 219 pages
Publication date: 05 January 2023
Publisher: Springer Nature Switzerland AG
This comprehensive book delves into the intricate details of the URRAN-based technical asset management system, a revolutionary methodology for effectively managing resources and mitigating risks in Russia's railway transport facilities. It provides a thorough exploration of the system's architecture, encompassing the unified corporate platform (UCP URRAN) and its subsystems dedicated to infrastructure facilities and rolling stock complexes. Moreover, it sheds light on the promising future of the UCP URRAN, particularly in its application of artificial intelligence to predict and prevent dangerous events in railway transport operations.
Designed primarily for professionals actively involved in the practical maintenance of railway transport infrastructure, this book serves as an invaluable reference guide for students and researchers at railway universities as well as industry professionals grappling with technical asset management challenges in various sectors.
The URRAN-based technical asset management system is a groundbreaking approach that leverages advanced technology to optimize resource utilization and ensure the highest levels of safety and reliability in Russia's railway transport network. By comprehensively analyzing and maintaining the required reliability and safety standards, the system empowers stakeholders to make informed decisions and implement effective strategies for improving operational efficiency and enhancing passenger safety.
The book's detailed explanation of the URRAN information systems unified corporate platform (UCP URRAN) and its subsystems for infrastructure facilities and rolling stock complexes offers a deep understanding of the system's functionality and capabilities. It provides a clear roadmap for implementing and leveraging the URRAN system to achieve optimal asset management outcomes.
Furthermore, the book highlights the UCP URRAN's potential for development, particularly in the realm of artificial intelligence. By leveraging AI technologies, the system can enhance its ability to predict and prevent dangerous events, thereby improving safety and reliability even further. This innovative approach not only enhances the overall performance of the railway transport network but also contributes to the overall development of the transportation industry as a whole.
In conclusion, this book is a must-read for anyone interested in advancing the field of technical asset management in the railway transport sector. It provides a comprehensive and in-depth exploration of the URRAN-based system, its architecture, and its applications in predicting and preventing dangerous events. With its practical insights and innovative approaches, the book offers valuable guidance for professionals, students, and researchers alike, as they strive to optimize resource utilization and enhance safety in the world of railway transport.
Weight: 367g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030900311
Edition number: 1st ed. 2022
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