A decision loop for situation risk assessment under uncertainty: A case study of a gas facility

Abstract

This paper presents a decision-making support system for situation risk assessment associated with critical alarms conditions in a gas facility. The system provides a human operator with advice on the confirmation and classification of occurred alarm. The input of the system comprises uncertain and incomplete information. In the light of uncertain and incomplete information, different uncertainties laws have been associated with the probabilistic assessment of the system loops which combine data of several sources to reach the ultimate classification. The implemented model used Observe-Orient-Decide-Act loop (OODA) combined with Bayesian networks. Results show that the system can classify the alarms system.

Keywords

OODA loop / Bayesian networks / Decision making / Situation risk assessment / Uncertainty / Information / Alarms system / Emergency

Authorship contributions

A. Simohammed; Conception and design of study: Acquisition of data: Analysis and/or interpretation of data: Drafting the manuscript: Approval of the version of the manuscript to be published (the names of all authors must be listed); Revising the manuscript critically for important intellectual content. R. Smail;, Analysis and/or interpretation of data: Drafting the manuscript: Approval of the version of the manuscript to be published (the names of all authors must be listed); Revising the manuscript critically for important intellectual content

Declaration of competing interest

The authors whose names are listed immediately below certify that they have NO affiliations with or involvement in any organization or entity with any financial interest (such as honoraria; educational grants; participation in speakers’ bureaus; membership, employment, consultancies, stock ownership, or other equity interest; and expert testimony or patent-licensing arrangements), or non-financial interest (such as personal or professional relationships, affiliations, knowledge or beliefs) in the subject matter or materials discussed in this manuscript.

Acknowledgements

This work is supported by Ministry of Higher Education and Scientific Research, Algeria (A01L04UN050220200001).

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