Developing an industry 4.0 tool based on a decision support system for the electricity sector

Detalhes bibliográficos
Autor(a) principal: Domingues, Nuno
Data de Publicação: 2021
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.21/14809
Resumo: Industry 4.0 brings together disruptive technologies and methods such as Big Data, Advanced Analytics, Cloud Computing and Internet of Things IoT and means connecting devices, machines and equipment to the internet, interacting with each other and transforming static objects into dynamic elements of an integrated network. The basic foundation of Industry 4.0 in the electrical sector is that through the interconnection of machines, production systems and equipment, companies will have the ability to create intelligent networks along the entire value chain, and thus control and command the production processes independently. The Decision Support System (DSS) described in the present paper simulates an electric system regarding the technical, environmental, social and economical aspects. The DSS is based on a conceptual model that could be adapted for most Countries. The DSS helps to understand the effect of consumer practices, production technology and Government measures on the electricity sector. Computer-based systems are useful to deal with great amount of information. Also, computer-based systems are adequate to organize disperse information. The author developed a DSS based on informatics technologies and applied to showcases and scenarios that can be used for better decision-making.
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spelling Developing an industry 4.0 tool based on a decision support system for the electricity sectorIndustry 4.0Decision support systemBusiness intelligenceKey performance indicatorsAgent reactionSimulation scenariosDecision makingSystems modelingMethodologiesIndustry 4.0 brings together disruptive technologies and methods such as Big Data, Advanced Analytics, Cloud Computing and Internet of Things IoT and means connecting devices, machines and equipment to the internet, interacting with each other and transforming static objects into dynamic elements of an integrated network. The basic foundation of Industry 4.0 in the electrical sector is that through the interconnection of machines, production systems and equipment, companies will have the ability to create intelligent networks along the entire value chain, and thus control and command the production processes independently. The Decision Support System (DSS) described in the present paper simulates an electric system regarding the technical, environmental, social and economical aspects. The DSS is based on a conceptual model that could be adapted for most Countries. The DSS helps to understand the effect of consumer practices, production technology and Government measures on the electricity sector. Computer-based systems are useful to deal with great amount of information. Also, computer-based systems are adequate to organize disperse information. The author developed a DSS based on informatics technologies and applied to showcases and scenarios that can be used for better decision-making.ITSRCIPLDomingues, Nuno2022-07-11T08:00:15Z2021-08-292021-08-29T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/14809engDOMINGUES, Nuno – Developing an industry 4.0 tool based on a decision support system for the electricity sector. Energy Research. eISSN 2617-4553. Vol. 5; N.º 1 (2021), pp. 1-13.10.31058/j.er.2021.510012617-4553info: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:RCAAP2023-08-03T10:11:28Zoai:repositorio.ipl.pt:10400.21/14809Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:22:32.786861Repositório 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 Developing an industry 4.0 tool based on a decision support system for the electricity sector
title Developing an industry 4.0 tool based on a decision support system for the electricity sector
spellingShingle Developing an industry 4.0 tool based on a decision support system for the electricity sector
Domingues, Nuno
Industry 4.0
Decision support system
Business intelligence
Key performance indicators
Agent reaction
Simulation scenarios
Decision making
Systems modeling
Methodologies
title_short Developing an industry 4.0 tool based on a decision support system for the electricity sector
title_full Developing an industry 4.0 tool based on a decision support system for the electricity sector
title_fullStr Developing an industry 4.0 tool based on a decision support system for the electricity sector
title_full_unstemmed Developing an industry 4.0 tool based on a decision support system for the electricity sector
title_sort Developing an industry 4.0 tool based on a decision support system for the electricity sector
author Domingues, Nuno
author_facet Domingues, Nuno
author_role author
dc.contributor.none.fl_str_mv RCIPL
dc.contributor.author.fl_str_mv Domingues, Nuno
dc.subject.por.fl_str_mv Industry 4.0
Decision support system
Business intelligence
Key performance indicators
Agent reaction
Simulation scenarios
Decision making
Systems modeling
Methodologies
topic Industry 4.0
Decision support system
Business intelligence
Key performance indicators
Agent reaction
Simulation scenarios
Decision making
Systems modeling
Methodologies
description Industry 4.0 brings together disruptive technologies and methods such as Big Data, Advanced Analytics, Cloud Computing and Internet of Things IoT and means connecting devices, machines and equipment to the internet, interacting with each other and transforming static objects into dynamic elements of an integrated network. The basic foundation of Industry 4.0 in the electrical sector is that through the interconnection of machines, production systems and equipment, companies will have the ability to create intelligent networks along the entire value chain, and thus control and command the production processes independently. The Decision Support System (DSS) described in the present paper simulates an electric system regarding the technical, environmental, social and economical aspects. The DSS is based on a conceptual model that could be adapted for most Countries. The DSS helps to understand the effect of consumer practices, production technology and Government measures on the electricity sector. Computer-based systems are useful to deal with great amount of information. Also, computer-based systems are adequate to organize disperse information. The author developed a DSS based on informatics technologies and applied to showcases and scenarios that can be used for better decision-making.
publishDate 2021
dc.date.none.fl_str_mv 2021-08-29
2021-08-29T00:00:00Z
2022-07-11T08:00:15Z
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/10400.21/14809
url http://hdl.handle.net/10400.21/14809
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv DOMINGUES, Nuno – Developing an industry 4.0 tool based on a decision support system for the electricity sector. Energy Research. eISSN 2617-4553. Vol. 5; N.º 1 (2021), pp. 1-13.
10.31058/j.er.2021.51001
2617-4553
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv ITS
publisher.none.fl_str_mv ITS
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
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