A soft computing framework to support consumers in obtaining sustainable appliances from the market

Detalhes bibliográficos
Autor(a) principal: Santos, Ricardo
Data de Publicação: 2020
Outros Autores: Abreu, António, Soares, José, Mendes, Fernanda, Calado, João M. F.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/120618
Resumo: Currently, sustainability is considered a priority by society, with the household appliances being one of the economic sectors involved in achieving sustainability. However, the existence of several issues (e.g., energy and water consumption, reliability, initial cost, and illuminance, among others) together with the diversity of brands and models on the market, make the consumer's decisions regarding sustainable options difficult, according to their concerns and related to each sustainability dimension (economic, environmental, and social). By combining evolutionary algorithms (EA) with multicriteria techniques, it is possible to achieve sustainable solutions for the consumer based on their requirements. In this paper, a method is presented to support the consumer by obtaining a set of sustainable household appliances on the market that suit their preferences, concerns, and needs. By using a case study to apply the approach developed here, a set of sustainable appliances from the market is obtained, where several benefits are achieved (e.g., energy and water consumption savings, avoidance of CO2 emissions) during the lifecycle of each appliance, chosen from the appliance's industry.
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spelling A soft computing framework to support consumers in obtaining sustainable appliances from the marketCyberphysical systemDecision support systemsEnergy efficiencyEvolutionary algorithmLifecycle cost analysis (LCCA)Multi-attribute value theory (MAVT)Multi-objective optimizationSoft computingSustainabilityMaterials Science(all)InstrumentationEngineering(all)Process Chemistry and TechnologyComputer Science ApplicationsFluid Flow and Transfer ProcessesSDG 7 - Affordable and Clean EnergyCurrently, sustainability is considered a priority by society, with the household appliances being one of the economic sectors involved in achieving sustainability. However, the existence of several issues (e.g., energy and water consumption, reliability, initial cost, and illuminance, among others) together with the diversity of brands and models on the market, make the consumer's decisions regarding sustainable options difficult, according to their concerns and related to each sustainability dimension (economic, environmental, and social). By combining evolutionary algorithms (EA) with multicriteria techniques, it is possible to achieve sustainable solutions for the consumer based on their requirements. In this paper, a method is presented to support the consumer by obtaining a set of sustainable household appliances on the market that suit their preferences, concerns, and needs. By using a case study to apply the approach developed here, a set of sustainable appliances from the market is obtained, where several benefits are achieved (e.g., energy and water consumption savings, avoidance of CO2 emissions) during the lifecycle of each appliance, chosen from the appliance's industry.UNINOVA-Instituto de Desenvolvimento de Novas TecnologiasCTS - Centro de Tecnologia e SistemasRUNSantos, RicardoAbreu, AntónioSoares, JoséMendes, FernandaCalado, João M. F.2021-07-06T22:18:18Z2020-05-042020-05-04T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/120618eng2076-3417PURE: 32379696https://doi.org/10.3390/app10093206info: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:RCAAP2024-03-11T05:03:06Zoai:run.unl.pt:10362/120618Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:44:24.124164Repositório 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 soft computing framework to support consumers in obtaining sustainable appliances from the market
title A soft computing framework to support consumers in obtaining sustainable appliances from the market
spellingShingle A soft computing framework to support consumers in obtaining sustainable appliances from the market
Santos, Ricardo
Cyberphysical system
Decision support systems
Energy efficiency
Evolutionary algorithm
Lifecycle cost analysis (LCCA)
Multi-attribute value theory (MAVT)
Multi-objective optimization
Soft computing
Sustainability
Materials Science(all)
Instrumentation
Engineering(all)
Process Chemistry and Technology
Computer Science Applications
Fluid Flow and Transfer Processes
SDG 7 - Affordable and Clean Energy
title_short A soft computing framework to support consumers in obtaining sustainable appliances from the market
title_full A soft computing framework to support consumers in obtaining sustainable appliances from the market
title_fullStr A soft computing framework to support consumers in obtaining sustainable appliances from the market
title_full_unstemmed A soft computing framework to support consumers in obtaining sustainable appliances from the market
title_sort A soft computing framework to support consumers in obtaining sustainable appliances from the market
author Santos, Ricardo
author_facet Santos, Ricardo
Abreu, António
Soares, José
Mendes, Fernanda
Calado, João M. F.
author_role author
author2 Abreu, António
Soares, José
Mendes, Fernanda
Calado, João M. F.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
CTS - Centro de Tecnologia e Sistemas
RUN
dc.contributor.author.fl_str_mv Santos, Ricardo
Abreu, António
Soares, José
Mendes, Fernanda
Calado, João M. F.
dc.subject.por.fl_str_mv Cyberphysical system
Decision support systems
Energy efficiency
Evolutionary algorithm
Lifecycle cost analysis (LCCA)
Multi-attribute value theory (MAVT)
Multi-objective optimization
Soft computing
Sustainability
Materials Science(all)
Instrumentation
Engineering(all)
Process Chemistry and Technology
Computer Science Applications
Fluid Flow and Transfer Processes
SDG 7 - Affordable and Clean Energy
topic Cyberphysical system
Decision support systems
Energy efficiency
Evolutionary algorithm
Lifecycle cost analysis (LCCA)
Multi-attribute value theory (MAVT)
Multi-objective optimization
Soft computing
Sustainability
Materials Science(all)
Instrumentation
Engineering(all)
Process Chemistry and Technology
Computer Science Applications
Fluid Flow and Transfer Processes
SDG 7 - Affordable and Clean Energy
description Currently, sustainability is considered a priority by society, with the household appliances being one of the economic sectors involved in achieving sustainability. However, the existence of several issues (e.g., energy and water consumption, reliability, initial cost, and illuminance, among others) together with the diversity of brands and models on the market, make the consumer's decisions regarding sustainable options difficult, according to their concerns and related to each sustainability dimension (economic, environmental, and social). By combining evolutionary algorithms (EA) with multicriteria techniques, it is possible to achieve sustainable solutions for the consumer based on their requirements. In this paper, a method is presented to support the consumer by obtaining a set of sustainable household appliances on the market that suit their preferences, concerns, and needs. By using a case study to apply the approach developed here, a set of sustainable appliances from the market is obtained, where several benefits are achieved (e.g., energy and water consumption savings, avoidance of CO2 emissions) during the lifecycle of each appliance, chosen from the appliance's industry.
publishDate 2020
dc.date.none.fl_str_mv 2020-05-04
2020-05-04T00:00:00Z
2021-07-06T22:18:18Z
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/10362/120618
url http://hdl.handle.net/10362/120618
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2076-3417
PURE: 32379696
https://doi.org/10.3390/app10093206
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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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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