Uses of risk importance measures: Technical report

Tuomas Mankamo, Kurt Pörn, Jan Holmberg

    Research output: Book/ReportReport

    Abstract

    Risk importance measures provide an understandable and practical way of presenting probabilistic safety analysis results which too often tend to remain abstract numbers without real insight into the content. This report clarifies the definitions, relationships and interpretations of the three most basic measures: risk increase factor, risk decrease factor and fractional contribution. The above three measures already cover the main types of risk importance measures. The many other importance measures presented in literature are close variants to some of these three measures. They are related in many cases so that, for a technical system considered, the two other measures can be derived from the one calculated first. However, the practical interpretations are different, and hence each three measures have their own uses and rights to existence. The fundamental aspect of importance measures is, that they express some specific influence of a basic event on the total risk. The basic failure or error events are the elements from which the reliability and risk models are constituted. The importance measures are relative, which is an advantage compared to absolute risk numbers, due to insensitivity with respect to quantification uncertainties. Therefore they are particularly adapted to give first hand guidance where to focus main interest from the system's risk and reliability point of view and wherefrom to continue the analysis with more sophisticated methods requiring more effort.
    Original languageEnglish
    Place of PublicationEspoo
    PublisherVTT Technical Research Centre of Finland
    Number of pages50
    ISBN (Print)951-38-3877-3
    Publication statusPublished - 1991
    MoE publication typeNot Eligible

    Publication series

    SeriesValtion teknillinen tutkimuskeskus. Tiedotteita
    Number1245
    ISSN0358-5085

    Fingerprint

    risk factor
    rights
    method
    safety analysis
    analysis

    Keywords

    • safety
    • risk analysis
    • measurement

    Cite this

    Mankamo, T., Pörn, K., & Holmberg, J. (1991). Uses of risk importance measures: Technical report. Espoo: VTT Technical Research Centre of Finland. Valtion teknillinen tutkimuskeskus. Tiedotteita, No. 1245
    Mankamo, Tuomas ; Pörn, Kurt ; Holmberg, Jan. / Uses of risk importance measures : Technical report. Espoo : VTT Technical Research Centre of Finland, 1991. 50 p. (Valtion teknillinen tutkimuskeskus. Tiedotteita; No. 1245).
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    abstract = "Risk importance measures provide an understandable and practical way of presenting probabilistic safety analysis results which too often tend to remain abstract numbers without real insight into the content. This report clarifies the definitions, relationships and interpretations of the three most basic measures: risk increase factor, risk decrease factor and fractional contribution. The above three measures already cover the main types of risk importance measures. The many other importance measures presented in literature are close variants to some of these three measures. They are related in many cases so that, for a technical system considered, the two other measures can be derived from the one calculated first. However, the practical interpretations are different, and hence each three measures have their own uses and rights to existence. The fundamental aspect of importance measures is, that they express some specific influence of a basic event on the total risk. The basic failure or error events are the elements from which the reliability and risk models are constituted. The importance measures are relative, which is an advantage compared to absolute risk numbers, due to insensitivity with respect to quantification uncertainties. Therefore they are particularly adapted to give first hand guidance where to focus main interest from the system's risk and reliability point of view and wherefrom to continue the analysis with more sophisticated methods requiring more effort.",
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    Mankamo, T, Pörn, K & Holmberg, J 1991, Uses of risk importance measures: Technical report. Valtion teknillinen tutkimuskeskus. Tiedotteita, no. 1245, VTT Technical Research Centre of Finland, Espoo.

    Uses of risk importance measures : Technical report. / Mankamo, Tuomas; Pörn, Kurt; Holmberg, Jan.

    Espoo : VTT Technical Research Centre of Finland, 1991. 50 p. (Valtion teknillinen tutkimuskeskus. Tiedotteita; No. 1245).

    Research output: Book/ReportReport

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    AU - Holmberg, Jan

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    N2 - Risk importance measures provide an understandable and practical way of presenting probabilistic safety analysis results which too often tend to remain abstract numbers without real insight into the content. This report clarifies the definitions, relationships and interpretations of the three most basic measures: risk increase factor, risk decrease factor and fractional contribution. The above three measures already cover the main types of risk importance measures. The many other importance measures presented in literature are close variants to some of these three measures. They are related in many cases so that, for a technical system considered, the two other measures can be derived from the one calculated first. However, the practical interpretations are different, and hence each three measures have their own uses and rights to existence. The fundamental aspect of importance measures is, that they express some specific influence of a basic event on the total risk. The basic failure or error events are the elements from which the reliability and risk models are constituted. The importance measures are relative, which is an advantage compared to absolute risk numbers, due to insensitivity with respect to quantification uncertainties. Therefore they are particularly adapted to give first hand guidance where to focus main interest from the system's risk and reliability point of view and wherefrom to continue the analysis with more sophisticated methods requiring more effort.

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    KW - risk analysis

    KW - measurement

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    Mankamo T, Pörn K, Holmberg J. Uses of risk importance measures: Technical report. Espoo: VTT Technical Research Centre of Finland, 1991. 50 p. (Valtion teknillinen tutkimuskeskus. Tiedotteita; No. 1245).