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different abstraction layers to be structurally modeled, and the use of multi-model
variables [15].
Implementing the Bayesian network model requires intimate knowledge of the
technical layer as well as the human/organizational level. Integrating the risk reduc-
tion barriers requires some degree of modification to the existing modeling tool.
Upon integrating the risk reduction barriers, each barrier is incorporated as a parent
entity of the event it protects or prevents. Ideally, when constructing the Bayesian
network model, all entities are organized so that the high-level influences are par-
ents of the low-level influences, which is a realistic and practical representation. Or
in other words, the model will illustrate the influence streaming from management
to the actors and then to the technical layer [15]. It is also important to note that
when the risk reduction barriers are incorporated into the Bayesian network model
the implementation of one barrier does not directly influence the functionality of
another barrier, or they are independent of one another.
he industrial storage tank displayed in Figure 9.8 was the system of interest
for the case-study for application of the proposed modeling techniques. he storage
tank houses liquid pentane for a short period of time, which is extremely lam-
mable in open air. he storage of the liquid pentane is performed in the presence of
Pentane
(liquid)
Nitrogen
(gas)
Safety Valve
Vent Hole
A1
A2
A3
A1: manual actuator
Pressure
Sensor
A2, A3, A4: automatic actuator
Nitrogen
Pentane
A4
Pentane
(liquid)
Retention Pool
Figure9.8
Industrialstoragetank.(FromLéger,A.,Duval,C.,Weber,P.,Levrat,
E., and Farret, R., Risk Analysis of Complex Socio Technical Systems by Using
BayesianNetworkModeling,availablefrom:http://www.cper-misn-sectaf.cran.
uhp-nancy.fr/Files/ACD/p42.pdf.),November2006.IARAnnualMeeting.
 
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