Modélisation et fouille des processus en vue d'assister la prise de décisions dans le contexte de la conception et la supervision des systèmes

Abstract : Data sets are growing rapidly because of two things. First, the fourth industrial revolution that aims to transform factories into smart entities in which cyber physical systems monitor the physical processes of the factory. Second, the need to innovate in order to achieve and maintain competitiveness. Due to this huge volume of data (Big Data), (i) design and supervision processes are becoming chaotic, (ii) data within organizations is increasingly becoming difficult to exploit and (iii) engineers are increasingly lost when making decisions. Indeed, several issues are identified in industry: (i) when researching, visualizing and exchanging information, (ii) when making decisions and (iii) when managing contextual changes. Through this research work, we propose an Intelligent and modular Decision Support System (IDSS), where each of the four modules solves one of the identified issues. Process modelling and traceability modules aim to model processes and capture how they are actualy executed. The decision support module proposes the process patterns that best fit the decision context, as well as their most significant activity parameters. The contextual change management module continuously updates the decision-making module, in order to handle the dynamic aspect of the decision context. The proposed system is fully verified and half-validated in the context of the Gontrand project, aiming at intelligent and real-time supervision of gas networks favoring the injection of green gas. In order to be fully validated, the performance of the system must be analyzed after integrating and exploitating it in a real industrial environment.
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Widad Es Soufi. Modélisation et fouille des processus en vue d'assister la prise de décisions dans le contexte de la conception et la supervision des systèmes. Génie des procédés. Ecole nationale supérieure d'arts et métiers - ENSAM, 2018. Français. ⟨NNT : 2018ENAM0067⟩. ⟨tel-02180539⟩

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