Operational Risk Assessment (ORA) is a process used to demonstrate and verify that the resultant risk of a planned operation meets certain required safety standards. Subject matter experts (SME) from different domains often use different approaches and terminologies to design ORAs. This leads to long review cycles and creates potential for inconsistent understanding of risks and/or application of mitigations by different practitioners across the safety-risk-chain. In this paper, to formalize ORA data representation we propose a set of common terminologies to be used while capturing ORA data. The proposed terminologies trace to existing standards and to terminologies used in risk data visualization methodologies. We also present a formal data model for ORA, that uses the proposed terminologies, in SADL (Semantic Application Design Language), thereby allowing SMEs to capture their knowledge as formal artifacts that are amenable to machine manipulation and automation. Furthermore, since ORA data is often captured in an excel format, we illustrate the use of an excel template that uses the proposed terminologies, by capturing assessment data corresponding to an example use case scenario in the template. Finally, to enable visualization of the ORA data, we discuss representing them as Bowtie diagrams. A Bowtie diagram is a pictorial representation that captures the relationship between a hazard, its causes and its consequences in a given specific environment or system state. To enable the benefits of Bowtie representation we map the proposed ORA terminologies to elements in a Bowtie model. We illustrate visualization of the ORA data as a Bowtie diagram by generating a Bowtie diagram capturing the ORA data corresponding to the example use case scenario considered in the paper.


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    Titel :

    Towards Formalization of a Data Model for Operational Risk Assessment


    Beteiligte:


    Erscheinungsdatum :

    03.10.2021


    Format / Umfang :

    1610693 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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