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Reliability engineering: Old problems and new challenges

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  • Zio, E.

Abstract

The first recorded usage of the word reliability dates back to the 1800s, albeit referred to a person and not a technical system. Since then, the concept of reliability has become a pervasive attribute worth of both qualitative and quantitative connotations. In particular, the revolutionary social, cultural and technological changes that have occurred from the 1800s to the 2000s have contributed to the need for a rational framework and quantitative treatment of the reliability of engineered systems and plants. This has led to the rise of reliability engineering as a scientific discipline.

Suggested Citation

  • Zio, E., 2009. "Reliability engineering: Old problems and new challenges," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 125-141.
    • Handle: RePEc:eee:reensy:v:94:y:2009:i:2:p:125-141
    DOI: 10.1016/j.ress.2008.06.002
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    References listed on IDEAS

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    1. Patterson, S.A. & Apostolakis, G.E., 2007. "Identification of critical locations across multiple infrastructures for terrorist actions," Reliability Engineering and System Safety, Elsevier, vol. 92(9), pages 1183-1203.
    2. Zio, E. & Marella, M. & Podofillini, L., 2007. "A Monte Carlo simulation approach to the availability assessment of multi-state systems with operational dependencies," Reliability Engineering and System Safety, Elsevier, vol. 92(7), pages 871-882.
    3. Crucitti, Paolo & Latora, Vito & Marchiori, Massimo, 2004. "A topological analysis of the Italian electric power grid," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 338(1), pages 92-97.
    4. Marseguerra, M. & Zio, E. & Martorell, S., 2006. "Basics of genetic algorithms optimization for RAMS applications," Reliability Engineering and System Safety, Elsevier, vol. 91(9), pages 977-991.
    5. Myötyri, E. & Pulkkinen, U. & Simola, K., 2006. "Application of stochastic filtering for lifetime prediction," Reliability Engineering and System Safety, Elsevier, vol. 91(2), pages 200-208.
    6. Saleh, J.H. & Marais, K., 2006. "Highlights from the early (and pre-) history of reliability engineering," Reliability Engineering and System Safety, Elsevier, vol. 91(2), pages 249-256.
    7. Haarla, Liisa & Pulkkinen, Urho & Koskinen, Mikko & Jyrinsalo, Jussi, 2008. "A method for analysing the reliability of a transmission grid," Reliability Engineering and System Safety, Elsevier, vol. 93(2), pages 277-287.
    8. E. Zio, 2007. "From complexity science to reliability efficiency: a new way of looking at complex network systems and critical infrastructures," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 3(3/4), pages 488-508.
    9. Bier, Vicki M. & Gratz, Eli R. & Haphuriwat, Naraphorn J. & Magua, Wairimu & Wierzbicki, Kevin R., 2007. "Methodology for identifying near-optimal interdiction strategies for a power transmission system," Reliability Engineering and System Safety, Elsevier, vol. 92(9), pages 1155-1161.
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