Lean, green and resilient practices influence on supply chain performance
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://doi.org/10.1007/s13762-013-0409-7 |
Resumo: | Nowadays, companies are struggling to find an appropriate supply chain strategy to achieve competitiveness. Among the available strategies lean, green and resilient are considered as a new management strategies for the supply chain management to achieve competitiveness. The major issues with theses strategies are the integration and identification of critical issues related to the strategies. This paper aims to identify the critical lean, green and resilient practices on which top management should focus in order to improve the performance of automotive supply chains. The systematic analysis of the lean, green and resilient practices is expected to be of great value for their effective implementation by the automotive companies. The interpretive structural modeling approach is used as a useful methodology to identify inter-relationships among lean, green and resilient practices and supply chain performance and to classify them according to their driving or dependence power. According to this research, the practices with the main driving power are just-in-time (lean practice), flexible transportation (resilient practice) and environmentally friendly packaging (green practice). Customer satisfaction is the performance measure with strong dependence and weak driving power; that is, it is strongly influenced by the other researched variables but does not affect them. |
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Lean, green and resilient practices influence on supply chain performanceinterpretive structural modeling approachAutomotive supply chainGreenInterpretive structural modelingLeanResilientSupply chain performanceAgricultural and Biological Sciences(all)Environmental ChemistryEnvironmental EngineeringNowadays, companies are struggling to find an appropriate supply chain strategy to achieve competitiveness. Among the available strategies lean, green and resilient are considered as a new management strategies for the supply chain management to achieve competitiveness. The major issues with theses strategies are the integration and identification of critical issues related to the strategies. This paper aims to identify the critical lean, green and resilient practices on which top management should focus in order to improve the performance of automotive supply chains. The systematic analysis of the lean, green and resilient practices is expected to be of great value for their effective implementation by the automotive companies. The interpretive structural modeling approach is used as a useful methodology to identify inter-relationships among lean, green and resilient practices and supply chain performance and to classify them according to their driving or dependence power. According to this research, the practices with the main driving power are just-in-time (lean practice), flexible transportation (resilient practice) and environmentally friendly packaging (green practice). Customer satisfaction is the performance measure with strong dependence and weak driving power; that is, it is strongly influenced by the other researched variables but does not affect them.DEMI - Departamento de Engenharia Mecânica e IndustrialUNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e IndustrialRUNGovindan, K.Azevedo, S. G.Carvalho, Helena Maria LourençoMachado, Virgílio António Cruz2017-05-30T13:56:59Z2015-01-012015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article20application/pdfhttps://doi.org/10.1007/s13762-013-0409-7eng1735-1472PURE: 139672http://www.scopus.com/inward/record.url?scp=84983508844&partnerID=8YFLogxKhttps://doi.org/10.1007/s13762-013-0409-7info: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:RCAAP2024-03-11T04:06:38Zoai:run.unl.pt:10362/20791Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:26:28.800579Repositório 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 |
Lean, green and resilient practices influence on supply chain performance interpretive structural modeling approach |
title |
Lean, green and resilient practices influence on supply chain performance |
spellingShingle |
Lean, green and resilient practices influence on supply chain performance Govindan, K. Automotive supply chain Green Interpretive structural modeling Lean Resilient Supply chain performance Agricultural and Biological Sciences(all) Environmental Chemistry Environmental Engineering |
title_short |
Lean, green and resilient practices influence on supply chain performance |
title_full |
Lean, green and resilient practices influence on supply chain performance |
title_fullStr |
Lean, green and resilient practices influence on supply chain performance |
title_full_unstemmed |
Lean, green and resilient practices influence on supply chain performance |
title_sort |
Lean, green and resilient practices influence on supply chain performance |
author |
Govindan, K. |
author_facet |
Govindan, K. Azevedo, S. G. Carvalho, Helena Maria Lourenço Machado, Virgílio António Cruz |
author_role |
author |
author2 |
Azevedo, S. G. Carvalho, Helena Maria Lourenço Machado, Virgílio António Cruz |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
DEMI - Departamento de Engenharia Mecânica e Industrial UNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial RUN |
dc.contributor.author.fl_str_mv |
Govindan, K. Azevedo, S. G. Carvalho, Helena Maria Lourenço Machado, Virgílio António Cruz |
dc.subject.por.fl_str_mv |
Automotive supply chain Green Interpretive structural modeling Lean Resilient Supply chain performance Agricultural and Biological Sciences(all) Environmental Chemistry Environmental Engineering |
topic |
Automotive supply chain Green Interpretive structural modeling Lean Resilient Supply chain performance Agricultural and Biological Sciences(all) Environmental Chemistry Environmental Engineering |
description |
Nowadays, companies are struggling to find an appropriate supply chain strategy to achieve competitiveness. Among the available strategies lean, green and resilient are considered as a new management strategies for the supply chain management to achieve competitiveness. The major issues with theses strategies are the integration and identification of critical issues related to the strategies. This paper aims to identify the critical lean, green and resilient practices on which top management should focus in order to improve the performance of automotive supply chains. The systematic analysis of the lean, green and resilient practices is expected to be of great value for their effective implementation by the automotive companies. The interpretive structural modeling approach is used as a useful methodology to identify inter-relationships among lean, green and resilient practices and supply chain performance and to classify them according to their driving or dependence power. According to this research, the practices with the main driving power are just-in-time (lean practice), flexible transportation (resilient practice) and environmentally friendly packaging (green practice). Customer satisfaction is the performance measure with strong dependence and weak driving power; that is, it is strongly influenced by the other researched variables but does not affect them. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-01-01 2015-01-01T00:00:00Z 2017-05-30T13:56:59Z |
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/10.1007/s13762-013-0409-7 |
url |
https://doi.org/10.1007/s13762-013-0409-7 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1735-1472 PURE: 139672 http://www.scopus.com/inward/record.url?scp=84983508844&partnerID=8YFLogxK https://doi.org/10.1007/s13762-013-0409-7 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
20 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 |
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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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1799137894736068609 |