Evaluation de la performance et aide à la décision pour la Gestion de systèmes industriels : méthodologie basée sur Bénéfice-coût-valeur-risque

Abstract : Performance measurement and management represents serious challenges to practitioners and researchers in industrial engineering and management sciences for efficient decision making with integrated, dynamic and relevant performance information regarding simultaneous accomplishment of multiple stakeholder objectives. Although many methodologies and approaches have already been proposed, there is still room for new advances to go further in assisting managers and engineers to make better decisions in a more systematic manner.Assuming that the performance of an industrial system, project or process can be comprehensively evaluated by four main dimensions (benefit, cost, value and risk), the thesis proposes an original and complete framework as well as an operational methodology to apply relevant supporting methods and tools for the sake of performance evaluation and decision support in industrial projects.Using several examples based on industrial cases, the work emphasises that the proposed methodology can provide the support for: opportunity assessment of several decision alternatives to select the most appropriate one, performance evaluation at any phase of an industrial project and monitoring of an ongoing industrial project requiring performance evaluation at several phases along its life history.
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Submitted on : Thursday, January 11, 2018 - 2:12:32 PM
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  • HAL Id : tel-01680894, version 2

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Fan Li. Evaluation de la performance et aide à la décision pour la Gestion de systèmes industriels : méthodologie basée sur Bénéfice-coût-valeur-risque. Génie des procédés. Ecole nationale supérieure d'arts et métiers - ENSAM, 2017. Français. ⟨NNT : 2017ENAM0019⟩. ⟨tel-01680894v2⟩

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