Industry 5.0. IIoT platform as enabler for smart manufacturing

Autores
Cayuqueo, Ayelen; Riquelme, Guillermo; Loyola, Luciano; Acosta, Joel; Guitera, Gustavo; Walas Mateo, Federico
Año de publicación
2024
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
The work develops concepts about Industrial Internet of Things (IIoT) platforms and how this paradigm can give insights to empower industrial operation managers. The concepts are followed by an adoption case in a company in the food sector. The case give visibility to the possibilities generated by the adoption of IIoT in an industry that deliver high quality supplies to the food value chain. The article includes concepts on data integration in the industry, the IIoT architecture and its components, and the technological ecosystem that facilitates the adoption of the solution. The adoption of the IIoT platform in industrial firms occurs within the framework of the evolution towards the Industry 5.0 model. The article discusses the adoption process, the integration of different hardware and software components, according to the ISA 95 standards. In the described case, the IIoT platform is an industrial solution from Siemens that works with open components such as Node-RED or Grafana. Among the achievements achieved by the project, the fact of obtaining indicators (KPIs) that can be viewed on dashboards stands out, thus facilitating decision-making for process engineers. Finally, the article conclude on the importance of the IIoT platform to continue the evolution from descriptive analytics to prescriptive analytics.
Facultad de Informática
Materia
Ciencias Informáticas
IIoT
Industry 5.0
data analytics
Lean 4.0
UN SDG
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/171746
Acceder
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network_name_str SEDICI (UNLP)
spelling Industry 5.0. IIoT platform as enabler for smart manufacturingIndustria 5.0. Plataformas IIoT como facilitadoras de la producción inteligenteCayuqueo, AyelenRiquelme, GuillermoLoyola, LucianoAcosta, JoelGuitera, GustavoWalas Mateo, FedericoCiencias InformáticasIIoTIndustry 5.0data analyticsLean 4.0UN SDGThe work develops concepts about Industrial Internet of Things (IIoT) platforms and how this paradigm can give insights to empower industrial operation managers. The concepts are followed by an adoption case in a company in the food sector. The case give visibility to the possibilities generated by the adoption of IIoT in an industry that deliver high quality supplies to the food value chain. The article includes concepts on data integration in the industry, the IIoT architecture and its components, and the technological ecosystem that facilitates the adoption of the solution. The adoption of the IIoT platform in industrial firms occurs within the framework of the evolution towards the Industry 5.0 model. The article discusses the adoption process, the integration of different hardware and software components, according to the ISA 95 standards. In the described case, the IIoT platform is an industrial solution from Siemens that works with open components such as Node-RED or Grafana. Among the achievements achieved by the project, the fact of obtaining indicators (KPIs) that can be viewed on dashboards stands out, thus facilitating decision-making for process engineers. Finally, the article conclude on the importance of the IIoT platform to continue the evolution from descriptive analytics to prescriptive analytics.Facultad de Informática2024-06info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf37-41http://sedici.unlp.edu.ar/handle/10915/171746enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-34-2413-1info:eu-repo/semantics/reference/url/https://sedici.unlp.edu.ar/handle/10915/171300info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:46:10Zoai:sedici.unlp.edu.ar:10915/171746Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:46:10.226SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Industry 5.0. IIoT platform as enabler for smart manufacturing
Industria 5.0. Plataformas IIoT como facilitadoras de la producción inteligente
title Industry 5.0. IIoT platform as enabler for smart manufacturing
spellingShingle Industry 5.0. IIoT platform as enabler for smart manufacturing
Cayuqueo, Ayelen
Ciencias Informáticas
IIoT
Industry 5.0
data analytics
Lean 4.0
UN SDG
title_short Industry 5.0. IIoT platform as enabler for smart manufacturing
title_full Industry 5.0. IIoT platform as enabler for smart manufacturing
title_fullStr Industry 5.0. IIoT platform as enabler for smart manufacturing
title_full_unstemmed Industry 5.0. IIoT platform as enabler for smart manufacturing
title_sort Industry 5.0. IIoT platform as enabler for smart manufacturing
dc.creator.none.fl_str_mv Cayuqueo, Ayelen
Riquelme, Guillermo
Loyola, Luciano
Acosta, Joel
Guitera, Gustavo
Walas Mateo, Federico
author Cayuqueo, Ayelen
author_facet Cayuqueo, Ayelen
Riquelme, Guillermo
Loyola, Luciano
Acosta, Joel
Guitera, Gustavo
Walas Mateo, Federico
author_role author
author2 Riquelme, Guillermo
Loyola, Luciano
Acosta, Joel
Guitera, Gustavo
Walas Mateo, Federico
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
IIoT
Industry 5.0
data analytics
Lean 4.0
UN SDG
topic Ciencias Informáticas
IIoT
Industry 5.0
data analytics
Lean 4.0
UN SDG
dc.description.none.fl_txt_mv The work develops concepts about Industrial Internet of Things (IIoT) platforms and how this paradigm can give insights to empower industrial operation managers. The concepts are followed by an adoption case in a company in the food sector. The case give visibility to the possibilities generated by the adoption of IIoT in an industry that deliver high quality supplies to the food value chain. The article includes concepts on data integration in the industry, the IIoT architecture and its components, and the technological ecosystem that facilitates the adoption of the solution. The adoption of the IIoT platform in industrial firms occurs within the framework of the evolution towards the Industry 5.0 model. The article discusses the adoption process, the integration of different hardware and software components, according to the ISA 95 standards. In the described case, the IIoT platform is an industrial solution from Siemens that works with open components such as Node-RED or Grafana. Among the achievements achieved by the project, the fact of obtaining indicators (KPIs) that can be viewed on dashboards stands out, thus facilitating decision-making for process engineers. Finally, the article conclude on the importance of the IIoT platform to continue the evolution from descriptive analytics to prescriptive analytics.
Facultad de Informática
description The work develops concepts about Industrial Internet of Things (IIoT) platforms and how this paradigm can give insights to empower industrial operation managers. The concepts are followed by an adoption case in a company in the food sector. The case give visibility to the possibilities generated by the adoption of IIoT in an industry that deliver high quality supplies to the food value chain. The article includes concepts on data integration in the industry, the IIoT architecture and its components, and the technological ecosystem that facilitates the adoption of the solution. The adoption of the IIoT platform in industrial firms occurs within the framework of the evolution towards the Industry 5.0 model. The article discusses the adoption process, the integration of different hardware and software components, according to the ISA 95 standards. In the described case, the IIoT platform is an industrial solution from Siemens that works with open components such as Node-RED or Grafana. Among the achievements achieved by the project, the fact of obtaining indicators (KPIs) that can be viewed on dashboards stands out, thus facilitating decision-making for process engineers. Finally, the article conclude on the importance of the IIoT platform to continue the evolution from descriptive analytics to prescriptive analytics.
publishDate 2024
dc.date.none.fl_str_mv 2024-06
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/171746
url http://sedici.unlp.edu.ar/handle/10915/171746
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-950-34-2413-1
info:eu-repo/semantics/reference/url/https://sedici.unlp.edu.ar/handle/10915/171300
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
37-41
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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