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Introduction

In: The Monte Carlo Simulation Method for System Reliability and Risk Analysis

Author

Listed:
  • Enrico Zio

    (Ecole Centrale Paris)

Abstract

When designing a new system or attempting to improve an existing one, the engineer tries to anticipate future patterns of system operation under varying options. Inevitably, the prediction is done with a model of reality, which by definition can never fit reality in all details. The model is based on the available information on the interactions among the components of the system, the interaction of the system with the environment, and data related to the properties of the system components. All these aspects concur in determining how the components move among their possible states and, thus, how the system behaves. With the model, questions can be asked about the future of the system, for example in terms of its failures, spare parts, repair teams, inspections, maintenance, production and anything else that is of interest.

Suggested Citation

  • Enrico Zio, 2013. "Introduction," Springer Series in Reliability Engineering, in: The Monte Carlo Simulation Method for System Reliability and Risk Analysis, edition 127, chapter 0, pages 1-6, Springer.
    • Handle: RePEc:spr:ssrchp:978-1-4471-4588-2_1
    DOI: 10.1007/978-1-4471-4588-2_1
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