Lean, green and resilient practices influence on supply chain performance

Detalhes bibliográficos
Autor(a) principal: Govindan, K.
Data de Publicação: 2015
Outros Autores: Azevedo, S. G., Carvalho, Helena Maria Lourenço, Machado, Virgílio António Cruz
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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spelling 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
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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
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