L'historien et les risques industriels: la récente émergence d'une curiosité

Zeller, Olivier

doi:10.57071/376hps

Cited by 1 publication

(2 citation statements)

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“…According to [18], risks can be classified into technological risks represented by the consequence of a sudden malfunction of an equipment, or a plant, health risks linked to atmospheric or hydraulic pollution or environmental risks expressed in terms of species and climate change by modification of the atmosphere. However, in [7], we adopt another typology of risks and classify them into the following: risk of loss of system performance due to component/unit failure, risk of financial loss due to potential damage of properties/assets following a failure event, risk of human loss due, for example, to exposures to toxic chemicals and finally, risk of environmental loss due for example to release and dispersion in the atmosphere of toxic chemicals.…”

Section: Risksmentioning

confidence: 99%

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Application of Prospect Theory in the Context of Predictive Maintenance Optimization Based on Risk Assessment

Louhichi

Pelletan²,

Sallak

2022

Applied Sciences

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The optimization of predictive maintenance relies mainly on the reduction of costs and risks, which can be of various types. The evaluation of risks cannot be realized independently of the psychology state and cognitive knowledge of the decision maker. In this article, we demonstrate this through the proposal of a methodology that tackles both optimization of maintenance and estimation of failure risks at the same time. The methodology takes as input the remaining useful life of the system at instant t and determines the optimal inspection step and the threshold of remaining useful life for predictive maintenance. The originality of the methodology consists of using a theory inspired by behavioral economics called prospect theory. Prospect theory allows modeling the outcome of a decision making by considering several aspects related to the decision maker, mainly loss aversion and a tendency to overestimate events with low probability of occurrence but with high economic losses. A case study was then developed where both cases were considered: with prospect theory and without prospect theory. A sensitivity analysis of the results under variation of some input parameters was carried out in a final step to confirm the consistency of the results and show the interest of prospect theory.

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Section: Risksmentioning

confidence: 99%

“…. N in }, that minimize the total cost described in Equation (18). Then, we repeat the same process for different values of N in .…”

Section: Constraintsmentioning

confidence: 99%