Abstract
The liberalisation of European markets and world-wide competition forces many manufacturers and operators caught in the cycle of lower costs, higher availability and maximum safety to continue to seek new ways to remain competitive. Against this background, optimisation of life-cycle costs can become a deciding factor in economic success. This paper looks at the fault tree and Monte Carlo methods for modelling industrial systems within the scope of ARM management and assurance programmes, using appropriate fault tree and simulation software tools, and contrasts the two approaches.
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© 1996 Springer-Verlag London
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Ashton, P., Leicht, R. (1996). Modelling Industrial Systems using Fault Tree and Monte Carlo Analysis Techniques. In: Cacciabue, P.C., Papazoglou, I.A. (eds) Probabilistic Safety Assessment and Management ’96. Springer, London. https://doi.org/10.1007/978-1-4471-3409-1_27
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DOI: https://doi.org/10.1007/978-1-4471-3409-1_27
Publisher Name: Springer, London
Print ISBN: 978-1-4471-3411-4
Online ISBN: 978-1-4471-3409-1
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