Proposition d’une modélisation unifiée du Cloud Manufacturing et d’une méthodologie d’implémentation, basées sur les ontologies d’inférence

Abstract : In this research, we introduce a methodology to build a CM architecture. Cloud Manufacturing is an emerging paradigm in which dynamically scalable and virtualized resources are provided to the users as services over the Internet. Our architecture serves as a platform for mapping users and manufacturing resources' providers with the aim of enhancing collaboration within Product Lifecycle Management (PLM) by reducing costs and development time. Since some providers may use different descriptions of their services we believe that semantic web technologies like ontologies are robust tools for mapping providers' descriptions and users' requests in order to find the suited service. Then, we use ontology to build the knowledge model of Cloud Manufacturing domain. The ontology defines the steps of the pro- duct lifecycle as services and also takes in account the Cloud Computing features (storage, Computing capacity, etc.). The Cloud Manufacturing ontology contributes to intelligent and automated service discovery and is included in a platform for mapping users and providers. The proposed methodology ASCI-Onto is inspired by ASDI framework (analysis-specification- design-implementation) which has already been used in supply chain, healthcare and manu- facturing domains. The goal of the new methodology consists of designing easily a library of components for a Cloud Manufacturing system. Finally, an example of application of this methodology with a simulation model, based on the CloudSim software, is presented. The goal is to help industrials to make their decisions in order to design Cloud Manufacturing systems.
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Submitted on : Friday, September 16, 2016 - 11:19:09 AM
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Asma Talhi. Proposition d’une modélisation unifiée du Cloud Manufacturing et d’une méthodologie d’implémentation, basées sur les ontologies d’inférence. Génie des procédés. Ecole nationale supérieure d'arts et métiers - ENSAM, 2016. Français. ⟨NNT : 2016ENAM0017⟩. ⟨tel-01367478⟩

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