Abstract
The strategic focus of the modern-day managers has been on seeking transformative technological and business solutions to ensure the safe and cost-effective operation of engineering assets. These transformative technologies (sometime also referred to as digital technologies) such as industrial Internet of Things, AI, Machine Learning, and 5G communication, offer highly effective solutions, empowering engineering managers to make informed decisions leading to improvement in asset performance and regulatory compliance. As a result, asset managers are embracing and deploying digital technologies across their assets, aiming for operational excellence in their operations. However, the journey of digital transformation must address various challenges, such as technological, business, and governance-related issues etc., to ensure the safe, reliable, and sustainable operation of engineering assets. This paper is exploratory in nature and underscores the significance of digital and enabling technologies, examines associated issues and challenges, and also explores the future trends. It also presents short discussion on RAMS (Reliability, Availability, Maintainability and Safety) and PHM (Prognostics and Health management) in the context of industrial asset management to mitigate risks from asset operations with deployment of new technologies.
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References
Galar D, Kumar U, Seneviratne D (2021) Robots, drones UAVs, and UAGs, for operation and maintenance. CRC Press, Florida
Karim R, Galar D, Kumar U (2023) AI factory: theories, applications and case studies. CRC Press, Florida
Kour R, Karim R, Patwardhan A, Kumar M (2022) Metaverse for intelligent asset management. International conference on maintenance and intelligent asset management (ICMIAM), India, IEEE, 2022, s. 1–6
Kritzinger W, Karner M, Traar G, Henjes J, Sihn W (2018) Digital Twin in manufacturing: a categorical literature review and classification. IFAC-Papers Online 51(11):1016–1022
Kumar U (2021) Data-driven decisions for maintenance and life extension: keynote talk. In: Workshop on data driven approaches to building, maintaining and extending the safe life of transportation infrastructure, corporate partnership board, international transport forum, OECD, Paris, 25 February 2021
Kumar U (2022) Transformative maintenance technology for railway assets: issues, challenges and future direction: opening keynote. In: Proceedings of the fifth international conference on railway technology: research, development and maintenance, 22–25 August, 2022, Montpellier, France, Elsevier
Kumari J (2022) Augmented asset management of railway system empowered by industrial AI. Licentiate thesis, Luleå University of Technology, Luleå
Patwardhan A (2022) Enablement of digital twins for railway overhead catenary system. Licentiate Thesis, Luleå University of Technology, Luleå
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© 2024 Society for Reliability and Safety
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Kumar, U. (2024). Tends in Engineering Asset Management: The Impact of Transformative Technologies on Risk and Reliability Management. In: Varde, P.V., Kumar, M., Agarwal, M. (eds) Advances in Risk-Informed Technologies. Risk, Reliability and Safety Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-99-9122-8_1
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DOI: https://doi.org/10.1007/978-981-99-9122-8_1
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Online ISBN: 978-981-99-9122-8
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