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dc.contributor.author
Halty, Agustín  
dc.contributor.author
Sánchez, Rodrigo  
dc.contributor.author
Vázquez, Valentín  
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Viana, Víctor  
dc.contributor.author
Piñeyro, Pedro  
dc.contributor.author
Rossit, Daniel Alejandro  
dc.date.available
2021-02-03T02:12:43Z  
dc.date.issued
2020-10-28  
dc.identifier.citation
Halty, Agustín; Sánchez, Rodrigo; Vázquez, Valentín; Viana, Víctor; Piñeyro, Pedro; et al.; Scheduling in cloud manufacturing systems: Recent systematic literature review; American Institute of Mathematical Sciences; Mathematical Biosciences And Engineering; 17; 6; 28-10-2020; 7378-7397  
dc.identifier.issn
1551-0018  
dc.identifier.uri
http://hdl.handle.net/11336/124528  
dc.description.abstract
Cloud Manufacturing (CMFg) is a novel production paradigm that benefits from Cloud Computing in order to develop manufacturing systems linked by the cloud. These systems, based on virtual platforms, allow direct linkage between customers and suppliers of manufacturing services, regardless of geographical distance. In this way, CMfg can expand both markets for producers, and suppliers for customers. However, these linkages imply a new challenge for production planning and decision-making process, especially in Scheduling. In this paper, a systematic literature review of articles addressing scheduling in Cloud Manufacturing environments is carried out. The review takes as its starting point a seminal study published in 2019, in which all problem features are described in detail. We pay special attention to the optimization methods and problem-solving strategies that have been suggested in CMfg scheduling. From the review carried out, we can assert that CMfg is a topic of growing interest within the scientific community. We also conclude that the methods based on bio-inspired metaheuristics are by far the most widely used (they represent more than 50% of the articles found). On the other hand, we suggest some lines for future research to further consolidate this field. In particular, we want to highlight the multi-objective approach, since due to the nature of the problem and the production paradigm, the optimization objectives involved are generally in conflict. In addition, decentralized approaches such as those based on game theory are promising lines for future research.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
American Institute of Mathematical Sciences  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
CLOUD COMPUTING  
dc.subject
CLOUD MANUFACTURING  
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CYBER-PHYSICAL SYSTEMS  
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INDUSTRY 4.0  
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INTERNET OF THINGS  
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LITERATURE REVIEW  
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MULTI-OBJECTIVE  
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OPTIMIZATION  
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SCHEDULING  
dc.subject.classification
Otras Ingenierías y Tecnologías  
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Otras Ingenierías y Tecnologías  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Scheduling in cloud manufacturing systems: Recent systematic literature review  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-12-04T14:45:48Z  
dc.journal.volume
17  
dc.journal.number
6  
dc.journal.pagination
7378-7397  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
springfield  
dc.description.fil
Fil: Halty, Agustín. Universidad de la República; Uruguay  
dc.description.fil
Fil: Sánchez, Rodrigo. Universidad de la República; Uruguay  
dc.description.fil
Fil: Vázquez, Valentín. Universidad de la República; Uruguay  
dc.description.fil
Fil: Viana, Víctor. Universidad de la República; Uruguay  
dc.description.fil
Fil: Piñeyro, Pedro. Universidad de la República; Uruguay  
dc.description.fil
Fil: Rossit, Daniel Alejandro. Universidad Nacional del Sur. Departamento de Ingeniería; Argentina. 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  
dc.journal.title
Mathematical Biosciences And Engineering  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.aimspress.com/article/10.3934/mbe.2020377  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3934/mbe.2020377  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.aimspress.com/mbe/article/5911/special-articles