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Article Dans Une Revue Bulletin of the Polish Academy of Sciences: Technical Sciences Année : 2020

A methodology for cloud manufacturing architecture in the context of Industry 4.0

Résumé

This paper deals with a methodology for the implementation of cloud manuf acturing (CM) architecture. CM is a current paradigm in which dynamically scalable and virtualized resources are provided to users as services over the Internet. CM is based on the concept of coud computing, which is essential in the Industry 4.0 trend. A CM architecture is employed to map users and providers of manufacturing resources. It reduces costs and development time during a product lifecycle. Some providers use diff erent descriptions of their services, so we propose taking advantage of semantic web technologies such as ontologies to tackle this issue. Indeed, robust tools are proposed for mapping providers’ descriptions and user requests to find the most appropriate service. The ontology defines the stages of the product lifecycle as services. It also takes into account the features of coud computing (storage, computing capacity, etc.). The CM ontology will contribute to intelligent and auto-mated service discovery. The proposed methodology is inspired by the ASDI framework (analysis–specification–design–implementation), which has already been used in the supply chain, healthcare and manufacturing domains. The aim of the new methodology is to propose an easy method of designing a library of components for a CM architecture. An example of the application of this methodology with a simulation model, based on the CloudSim software, is presented. The result can be used to help the industrial decision-makers who want to design CM architectures
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Dates et versions

hal-03424324 , version 1 (10-11-2021)

Identifiants

Citer

Esma Talhi, Jean-Charles Huet, Virginie Fortineau, Samir Lamouri. A methodology for cloud manufacturing architecture in the context of Industry 4.0. Bulletin of the Polish Academy of Sciences: Technical Sciences, 2020, 62 (2), pp.271-284. ⟨10.24425/bpasts.2020.131849⟩. ⟨hal-03424324⟩
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