Développement d’une approche d’aide à la maitrise des risques dans les activités de maintenance d'une chaine logistique : Approche par modélisation et simulation basée sur les systèmes multi-agents

Abstract : The main objective of this thesis is to develop a multi-agent approach to designing a model to overcome risks of maintenance activities. The aim is to explore the maintenance complexity and to indicate the interactions between the maintenance function and the risk assessment.Firstly, we are interested in designing a systemic model to identify and model the industrial system, to show the different interactions between its elements, to analyze and to evaluate risks of maintenance activities. We propose the MOSAR method and the UML language to design a cognitive reference model. This model served as a starting point for designing a database using the SQL language, which is operated by Multi-Agent model to acquire the necessary information for its operation.On the other hand, we develop a framework of a multi-agent system that aims to anticipate failures scenarios and the decision-making by simulating the studied system behaviour. A comparison between the existing platforms dedicated to Multi-Agent Systems is performed to choose the appropriate platform for the simulation.Finally, the developed models are applied in the LPG supply chain (Liquefied Petroleum Gas). A simulator was developed using the AnyLogic platform in order to study the system behaviour and to simulate the failure scenarios chosen by the industry, for the calculation of the criticality from three parameters (Frequency, severity, detectability), and for obtaining a Dashboard containing a set of maintenance performance indicators. The proposed simulation models help to guide the industries toward good decisions to avoid risky situations that may trigger disruptive events damaging.
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Submitted on : Wednesday, March 28, 2018 - 4:49:07 PM
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Maryam Gallab. Développement d’une approche d’aide à la maitrise des risques dans les activités de maintenance d'une chaine logistique : Approche par modélisation et simulation basée sur les systèmes multi-agents. Gestion et management. PSL Research University; École Mohammadia d'ingénieurs (Rabat, Maroc), 2017. Français. ⟨NNT : 2017PSLEM028⟩. ⟨tel-01745895⟩

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