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dc.contributor.author
Chiappa, Santiago
dc.contributor.author
Videla, Emiliano
dc.contributor.author
Viana-Céspedes, Víctor
dc.contributor.author
Piñeyro, Pedro
dc.contributor.author
Rossit, Daniel Alejandro
dc.date.available
2023-09-12T16:05:33Z
dc.date.issued
2023-08
dc.identifier.citation
Chiappa, Santiago; Videla, Emiliano; Viana-Céspedes, Víctor; Piñeyro, Pedro; Rossit, Daniel Alejandro; Cloud manufacturing architectures: State-of-art, research challenges and platforms description; Elsevier; Journal of Industrial Information Integration; 34; 8-2023; 1-16 ;100472
dc.identifier.issn
2452-414X
dc.identifier.uri
http://hdl.handle.net/11336/211279
dc.description.abstract
The increasing incorporation of digital technologies in industrial systems in recent years, and their corresponding connection to the Internet of Things, has made it possible to offer production services through the cloud, giving rise to the Cloud Manufacturing production paradigm. This paradigm allows customers and production service providers to meet on a virtual platform, and from there, to generate business opportunities. In turn, different production service providers can associate with each other, in such a way that each one can enhance the level of service they offer or even take advantage of their idle capacity by offering it to other providers. These advantages have increased the interest in Cloud Manufacturing, yielding a wide number of architectures and systems that enable these interactions. In this paper, we present a comprehensive study about these architectures, as well as a review of the current literature on the subject. For this, a systematic review of the literature is reported. Based on an in-depth review of the selected works, we were able to identify the main contributions of the current state of the literature about Cloud Manufacturing architectures. Four lines of research were identified that should be strengthened and expanded in the future to continue with the development of this paradigm. These lines are: (i) digital twins developments, (ii) scheduling and logistics, (iii) services composition and resources sharing and (iv) interoperability. Finally, it is presented an open-source project for Cloud Manufacturing architectures and their implementation, which emerge from the literature review as a promising tool to leverage Cloud Manufacturing technologies.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
CLOUD MANUFACTURING
dc.subject
ARCHITECTURES
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INTERNET OF THINGS (IoT)
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CYBER-PHYSICAL SYSTEMS
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VIRTUALIZATION
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SCHEDULING
dc.subject
RESOURCES SHARING
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REVIEW
dc.subject.classification
Otras Ingenierías y Tecnologías
dc.subject.classification
Otras Ingenierías y Tecnologías
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
Cloud manufacturing architectures: State-of-art, research challenges and platforms description
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-08-24T14:30:03Z
dc.journal.volume
34
dc.journal.pagination
1-16 ;100472
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Chiappa, Santiago. Universidad de la República; Uruguay
dc.description.fil
Fil: Videla, Emiliano. Universidad de la República; Uruguay
dc.description.fil
Fil: Viana-Céspedes, Víctor. Universidad de la República; Uruguay
dc.description.fil
Fil: Piñeyro, Pedro. Universidad de la República; Uruguay
dc.description.fil
Fil: Rossit, Daniel Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería; Argentina
dc.journal.title
Journal of Industrial Information Integration
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S2452414X23000456
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.jii.2023.100472
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