Spatio-Temporal Graph for Improvement of Decision-Making in Risks Treatment

Spatio-Temporal Graph for Improvement of Decision-Making in Risks Treatment

Mohamed Amine Messaoudi, Latifa Dekhici, Myriam Noureddine
Copyright: © 2022 |Pages: 19
DOI: 10.4018/IJDSST.303945
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Abstract

Failures that hinder the proper functioning of complex systems are characterised by frequencies of occurrence, rates of evolution, and variables periodicities. Indeed, a good design of this kind of system requires the elaboration of an adapted analysis and modelling approach, which takes into account the spatial-temporal dynamics of the systems elements dysfunction. This paper proposes a spatio-temporal modelling approach integrated into a risk management methodology. This modelling allows both to describe the evolution of the system in space and in time and to follow the spatial and temporal scope of a failure of the system in order to improve decision making in choosing the appropriate corrective action. The elements of the methodology are illustrated and validated by a case study of a wireless sensor network system.
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Several authors developed models for risk management, Gouriveau et al., (2004) defined a dependability analysis framework. They came up with a case tool dedicated to risk management knowledge based rules. Latsou et al., (2019) developed a methodology for the Petri Nets automated generation. Their methodology takes as its input a topology diagram with a complex system/process description that handle real life scenarios such as a large number of components/activities, control loops, dependent events, redundant and repairable components/activities. Their proposed methodology enables the detection of the critical components and design errors at an early design stage.

Nazeri et al., (2017) presented a fuzzy hybrid approach, including failure mode and effective analysis, decision-making trial and evaluation laboratory technique, and analytic network process. The aim was to select an appropriate maintenance policy through identifying the failures risk. The application was tested on tamping equipment in railway of Iran using a super matrix of weights and criteria as the failure risk.

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