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Modelling the reliability of search operations within the UK through Bayesian belief networks

Russell, A.H. and Quigley, J.L. and Van Der Meer, R.B. (2006) Modelling the reliability of search operations within the UK through Bayesian belief networks. In: International Conference on Availability, Reliability and Security 2006, 2006-04-20 - 2006-04-22, Vienna.

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    Abstract

    This paper uses a Bayesian belief networks (BBN) methodology to assess the reliability of search and rescue (SAR) operations within the UK coastguard (maritime rescue) coordination centers. This is an extension of earlier work, which investigated the rationale of the government's decision to close a number of coordination centers. The previous study made use of secondary data sources and employed a binary logistic regression methodology to support the analysis. This study focused on the collection of primary data through a structured elicitation process, which resulted in the construction of a BBN. The main findings of the study are that approaches such as logistic regression are complementary to BBN's. The former provided a more objective assessment of associations between variables but was restricted in the level of detail that could be explicitly expressed within the model due to lack of available data. The latter method provided a much more detailed model but the validity of the numeric assessments was more questionable. Each method can be used to inform and defend the development of the other. The paper describes in detail the elicitation process employed to construct the BBN and reflects on the potential for bias.

    Item type: Conference or Workshop Item (Paper)
    ID code: 9620
    Keywords: search operations, coastguards, maritime rescue, UK, Bayesian, BBN, Bayesian Relief Networks, Management. Industrial Management, Management Science and Operations Research
    Subjects: Social Sciences > Industries. Land use. Labor > Management. Industrial Management
    Department: Strathclyde Business School > Management Science
    Related URLs:
    Depositing user: Strathprints Administrator
    Date Deposited: 16 Mar 2010 12:40
    Last modified: 05 Jul 2014 01:03
    URI: http://strathprints.strath.ac.uk/id/eprint/9620

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