A soft computing framework to support consumers in obtaining sustainable appliances from the market
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
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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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 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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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 |
repository.mail.fl_str_mv |
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1799138051600941056 |