A New Concept of Digital Twin Supporting Optimization and Resilience of Factories of the Future

Detalhes bibliográficos
Autor(a) principal: Bécue, Adrien
Data de Publicação: 2020
Outros Autores: Maia, Eva, Feeken, Linda, Borchers, Philipp, Praça, Isabel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/19399
Resumo: In the context of Industry 4.0, a growing use is being made of simulation-based decision-support tools commonly named Digital Twins. Digital Twins are replicas of the physical manufacturing assets, providing means for the monitoring and control of individual assets. Although extensive research on Digital Twins and their applications has been carried out, the majority of existing approaches are asset specific. Little consideration is made of human factors and interdependencies between different production assets are commonly ignored. In this paper, we address those limitations and propose innovations for cognitive modeling and co-simulation which may unleash novel uses of Digital Twins in Factories of the Future. We introduce a holistic Digital Twin approach, in which the factory is not represented by a set of separated Digital Twins but by a comprehensive modeling and simulation capacity embracing the full manufacturing process including external network dependencies. Furthermore, we introduce novel approaches for integrating models of human behavior and capacities for security testing with Digital Twins and show how the holistic Digital Twin can enable new services for the optimization and resilience of Factories of the Future. To illustrate this approach, we introduce a specific use-case implemented in field of Aerospace System Manufacturing.
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spelling A New Concept of Digital Twin Supporting Optimization and Resilience of Factories of the FutureFactory of the FutureDigital TwinCyber-RangeProcess optimizationCyber-resilienceModeling and simulationCyber-physical system modelingHuman behavior modelingCo-simulationAnomaly detectionAttack detectionIn the context of Industry 4.0, a growing use is being made of simulation-based decision-support tools commonly named Digital Twins. Digital Twins are replicas of the physical manufacturing assets, providing means for the monitoring and control of individual assets. Although extensive research on Digital Twins and their applications has been carried out, the majority of existing approaches are asset specific. Little consideration is made of human factors and interdependencies between different production assets are commonly ignored. In this paper, we address those limitations and propose innovations for cognitive modeling and co-simulation which may unleash novel uses of Digital Twins in Factories of the Future. We introduce a holistic Digital Twin approach, in which the factory is not represented by a set of separated Digital Twins but by a comprehensive modeling and simulation capacity embracing the full manufacturing process including external network dependencies. Furthermore, we introduce novel approaches for integrating models of human behavior and capacities for security testing with Digital Twins and show how the holistic Digital Twin can enable new services for the optimization and resilience of Factories of the Future. To illustrate this approach, we introduce a specific use-case implemented in field of Aerospace System Manufacturing.The present work was developed under the EUREKA–ITEA3 Project CyberFactory#1 (ITEA-17032), co-funded by Project CyberFactory#1PT (ANI|P2020 40124), from FEDER Funds through NORTE2020 program and from National Funds through FCT under the project UID/EEA/00760/2019 and by the Federal Ministry of Education and Research (BMBF, Germany, funding No. 01IS18061C).MDPIRepositório Científico do Instituto Politécnico do PortoBécue, AdrienMaia, EvaFeeken, LindaBorchers, PhilippPraça, Isabel2022-01-11T15:45:27Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/19399eng10.3390/app10134482info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T13:13:09Zoai:recipp.ipp.pt:10400.22/19399Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:39:16.910343Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A New Concept of Digital Twin Supporting Optimization and Resilience of Factories of the Future
title A New Concept of Digital Twin Supporting Optimization and Resilience of Factories of the Future
spellingShingle A New Concept of Digital Twin Supporting Optimization and Resilience of Factories of the Future
Bécue, Adrien
Factory of the Future
Digital Twin
Cyber-Range
Process optimization
Cyber-resilience
Modeling and simulation
Cyber-physical system modeling
Human behavior modeling
Co-simulation
Anomaly detection
Attack detection
title_short A New Concept of Digital Twin Supporting Optimization and Resilience of Factories of the Future
title_full A New Concept of Digital Twin Supporting Optimization and Resilience of Factories of the Future
title_fullStr A New Concept of Digital Twin Supporting Optimization and Resilience of Factories of the Future
title_full_unstemmed A New Concept of Digital Twin Supporting Optimization and Resilience of Factories of the Future
title_sort A New Concept of Digital Twin Supporting Optimization and Resilience of Factories of the Future
author Bécue, Adrien
author_facet Bécue, Adrien
Maia, Eva
Feeken, Linda
Borchers, Philipp
Praça, Isabel
author_role author
author2 Maia, Eva
Feeken, Linda
Borchers, Philipp
Praça, Isabel
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Bécue, Adrien
Maia, Eva
Feeken, Linda
Borchers, Philipp
Praça, Isabel
dc.subject.por.fl_str_mv Factory of the Future
Digital Twin
Cyber-Range
Process optimization
Cyber-resilience
Modeling and simulation
Cyber-physical system modeling
Human behavior modeling
Co-simulation
Anomaly detection
Attack detection
topic Factory of the Future
Digital Twin
Cyber-Range
Process optimization
Cyber-resilience
Modeling and simulation
Cyber-physical system modeling
Human behavior modeling
Co-simulation
Anomaly detection
Attack detection
description In the context of Industry 4.0, a growing use is being made of simulation-based decision-support tools commonly named Digital Twins. Digital Twins are replicas of the physical manufacturing assets, providing means for the monitoring and control of individual assets. Although extensive research on Digital Twins and their applications has been carried out, the majority of existing approaches are asset specific. Little consideration is made of human factors and interdependencies between different production assets are commonly ignored. In this paper, we address those limitations and propose innovations for cognitive modeling and co-simulation which may unleash novel uses of Digital Twins in Factories of the Future. We introduce a holistic Digital Twin approach, in which the factory is not represented by a set of separated Digital Twins but by a comprehensive modeling and simulation capacity embracing the full manufacturing process including external network dependencies. Furthermore, we introduce novel approaches for integrating models of human behavior and capacities for security testing with Digital Twins and show how the holistic Digital Twin can enable new services for the optimization and resilience of Factories of the Future. To illustrate this approach, we introduce a specific use-case implemented in field of Aerospace System Manufacturing.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01T00:00:00Z
2022-01-11T15:45:27Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/19399
url http://hdl.handle.net/10400.22/19399
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.3390/app10134482
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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