Systematic Eco-innovation in Lean PSS Environment

Detalhes bibliográficos
Autor(a) principal: Pacheco, Diego A De J
Data de Publicação: 2016
Outros Autores: Ten Caten, Carla S., Navas, Helena V G, Jung, Carlos Fernando, Machado, Virgílio António Cruz, Lopes, Gustavo H N
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.1016/j.procir.2016.03.211
Resumo: New methodologies and tools to improve the performance of PSS design have been proposed in literature. In this sense, this paper accompanies the development of a proposed model that allows for systematic analysis in order to identify waste or contradictions and their elimination or reduction, through the joint use of analytical tools wit impact in eco-innovation based on TRIZ and Lean PSS. It has been shown that the methodologies complement each other. The TRIZ with its aspect of innovation and problem solving can make an important contribution in the eco-innovation in a Lean PSS design aiming application in real systems.
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spelling Systematic Eco-innovation in Lean PSS EnvironmentAn Integrated ModelEco-innovationLeanPSSTRIZControl and Systems EngineeringIndustrial and Manufacturing EngineeringSDG 9 - Industry, Innovation, and InfrastructureSDG 13 - Climate ActionNew methodologies and tools to improve the performance of PSS design have been proposed in literature. In this sense, this paper accompanies the development of a proposed model that allows for systematic analysis in order to identify waste or contradictions and their elimination or reduction, through the joint use of analytical tools wit impact in eco-innovation based on TRIZ and Lean PSS. It has been shown that the methodologies complement each other. The TRIZ with its aspect of innovation and problem solving can make an important contribution in the eco-innovation in a Lean PSS design aiming application in real systems.UNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e IndustrialDEMI - Departamento de Engenharia Mecânica e IndustrialRUNPacheco, Diego A De JTen Caten, Carla S.Navas, Helena V GJung, Carlos FernandoMachado, Virgílio António CruzLopes, Gustavo H N2017-05-30T14:02:55Z20162016-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article6application/pdfhttps://doi.org/10.1016/j.procir.2016.03.211eng1877-7058PURE: 1927211http://www.scopus.com/inward/record.url?scp=84978674867&partnerID=8YFLogxKhttps://doi.org/10.1016/j.procir.2016.03.211info: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:RCAAP2024-03-11T04:06:44Zoai:run.unl.pt:10362/20845Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:26:30.623677Repositório 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 Systematic Eco-innovation in Lean PSS Environment
An Integrated Model
title Systematic Eco-innovation in Lean PSS Environment
spellingShingle Systematic Eco-innovation in Lean PSS Environment
Pacheco, Diego A De J
Eco-innovation
Lean
PSS
TRIZ
Control and Systems Engineering
Industrial and Manufacturing Engineering
SDG 9 - Industry, Innovation, and Infrastructure
SDG 13 - Climate Action
title_short Systematic Eco-innovation in Lean PSS Environment
title_full Systematic Eco-innovation in Lean PSS Environment
title_fullStr Systematic Eco-innovation in Lean PSS Environment
title_full_unstemmed Systematic Eco-innovation in Lean PSS Environment
title_sort Systematic Eco-innovation in Lean PSS Environment
author Pacheco, Diego A De J
author_facet Pacheco, Diego A De J
Ten Caten, Carla S.
Navas, Helena V G
Jung, Carlos Fernando
Machado, Virgílio António Cruz
Lopes, Gustavo H N
author_role author
author2 Ten Caten, Carla S.
Navas, Helena V G
Jung, Carlos Fernando
Machado, Virgílio António Cruz
Lopes, Gustavo H N
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv UNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
DEMI - Departamento de Engenharia Mecânica e Industrial
RUN
dc.contributor.author.fl_str_mv Pacheco, Diego A De J
Ten Caten, Carla S.
Navas, Helena V G
Jung, Carlos Fernando
Machado, Virgílio António Cruz
Lopes, Gustavo H N
dc.subject.por.fl_str_mv Eco-innovation
Lean
PSS
TRIZ
Control and Systems Engineering
Industrial and Manufacturing Engineering
SDG 9 - Industry, Innovation, and Infrastructure
SDG 13 - Climate Action
topic Eco-innovation
Lean
PSS
TRIZ
Control and Systems Engineering
Industrial and Manufacturing Engineering
SDG 9 - Industry, Innovation, and Infrastructure
SDG 13 - Climate Action
description New methodologies and tools to improve the performance of PSS design have been proposed in literature. In this sense, this paper accompanies the development of a proposed model that allows for systematic analysis in order to identify waste or contradictions and their elimination or reduction, through the joint use of analytical tools wit impact in eco-innovation based on TRIZ and Lean PSS. It has been shown that the methodologies complement each other. The TRIZ with its aspect of innovation and problem solving can make an important contribution in the eco-innovation in a Lean PSS design aiming application in real systems.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-01-01T00:00:00Z
2017-05-30T14:02:55Z
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 https://doi.org/10.1016/j.procir.2016.03.211
url https://doi.org/10.1016/j.procir.2016.03.211
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1877-7058
PURE: 1927211
http://www.scopus.com/inward/record.url?scp=84978674867&partnerID=8YFLogxK
https://doi.org/10.1016/j.procir.2016.03.211
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eu_rights_str_mv openAccess
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