Application of a simulation-based digital twin for predicting distributed manufacturing control system performance

Detalhes bibliográficos
Autor(a) principal: Rolo, Gonçalo Roque
Data de Publicação: 2021
Outros Autores: Rocha, André Dionísio, Tripa, João, Barata, José
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/144675
Resumo: Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
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spelling Application of a simulation-based digital twin for predicting distributed manufacturing control system performanceCyber-Physical Production SystemDigital TwinDistributed control systemsIndustrial agentsMulti-Agent SystemSimulationMaterials Science(all)InstrumentationEngineering(all)Process Chemistry and TechnologyComputer Science ApplicationsFluid Flow and Transfer ProcessesPublisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.During the last years, several research activities and studies have presented the possibility to perform manufacturing control using distributed approaches. Although these new approaches aim to deliver more flexibility and adaptability to the shop floor, they are not being readily adopted and utilised by the manufacturers. One of the main challenges is the unpredictability of the proposed solutions and the uncertainty associated with these approaches. Hence, the proposed research aims to explore the utilisation of Digital Twins (DTs) to predict and understand the execution of these systems in runtime. The Fourth Industrial Revolution is leading to the emergence of new concepts amongst which DT stand out. Given their early stage, however, the already existing implementations are far from standardised, meaning that each practical case has to be analysed on its own and solutions are often created from scratch. Taking the aforementioned into account, the authors suggest an architecture that enables the integration between a previously designed and developed agent-based distributed control system and its DT, whose implementation is also provided in detail. Furthermore, the digital model’s calibration is described jointly with the careful validation process carried out. Thanks to the latter, several conclusions and guidelines for future implementations were possible to derive as well.DEE - Departamento de Engenharia Electrotécnica e de ComputadoresUNINOVA-Instituto de Desenvolvimento de Novas TecnologiasCTS - Centro de Tecnologia e SistemasDEE2010-C2 Robótica e Manufactura Integrada por ComputadorRUNRolo, Gonçalo RoqueRocha, André DionísioTripa, JoãoBarata, José2022-10-13T22:17:50Z2021-03-012021-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article19application/pdfhttp://hdl.handle.net/10362/144675eng2076-3417PURE: 45534369https://doi.org/10.3390/app11052202info: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:RCAAP2024-03-11T05:24:26Zoai:run.unl.pt:10362/144675Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:51:41.186567Repositório 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 Application of a simulation-based digital twin for predicting distributed manufacturing control system performance
title Application of a simulation-based digital twin for predicting distributed manufacturing control system performance
spellingShingle Application of a simulation-based digital twin for predicting distributed manufacturing control system performance
Rolo, Gonçalo Roque
Cyber-Physical Production System
Digital Twin
Distributed control systems
Industrial agents
Multi-Agent System
Simulation
Materials Science(all)
Instrumentation
Engineering(all)
Process Chemistry and Technology
Computer Science Applications
Fluid Flow and Transfer Processes
title_short Application of a simulation-based digital twin for predicting distributed manufacturing control system performance
title_full Application of a simulation-based digital twin for predicting distributed manufacturing control system performance
title_fullStr Application of a simulation-based digital twin for predicting distributed manufacturing control system performance
title_full_unstemmed Application of a simulation-based digital twin for predicting distributed manufacturing control system performance
title_sort Application of a simulation-based digital twin for predicting distributed manufacturing control system performance
author Rolo, Gonçalo Roque
author_facet Rolo, Gonçalo Roque
Rocha, André Dionísio
Tripa, João
Barata, José
author_role author
author2 Rocha, André Dionísio
Tripa, João
Barata, José
author2_role author
author
author
dc.contributor.none.fl_str_mv DEE - Departamento de Engenharia Electrotécnica e de Computadores
UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
CTS - Centro de Tecnologia e Sistemas
DEE2010-C2 Robótica e Manufactura Integrada por Computador
RUN
dc.contributor.author.fl_str_mv Rolo, Gonçalo Roque
Rocha, André Dionísio
Tripa, João
Barata, José
dc.subject.por.fl_str_mv Cyber-Physical Production System
Digital Twin
Distributed control systems
Industrial agents
Multi-Agent System
Simulation
Materials Science(all)
Instrumentation
Engineering(all)
Process Chemistry and Technology
Computer Science Applications
Fluid Flow and Transfer Processes
topic Cyber-Physical Production System
Digital Twin
Distributed control systems
Industrial agents
Multi-Agent System
Simulation
Materials Science(all)
Instrumentation
Engineering(all)
Process Chemistry and Technology
Computer Science Applications
Fluid Flow and Transfer Processes
description Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
publishDate 2021
dc.date.none.fl_str_mv 2021-03-01
2021-03-01T00:00:00Z
2022-10-13T22:17:50Z
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/10362/144675
url http://hdl.handle.net/10362/144675
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2076-3417
PURE: 45534369
https://doi.org/10.3390/app11052202
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 19
application/pdf
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
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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