Relationship between lean manufacturing tools and their sustainable economic benefits

Traditionally, the isolated relationship of total preventive maintenance (TPM), quick setup (QS), overall equipment effec- tiveness (OEE), and one-piece flow (OPF) with economic sustainability (ESU) has been investigated; however, these lean manufacturing (LM) tools are implemented together into pro...

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Autores: Díaz-Reza, José Roberto, García-Alcaraz, Jorge Luis, Márquez Figueroa, Luis Javier, Puig, Rita, Sáenz Díez Muro, Juan Carlos
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10459.1/84993
Acceso en línea:https://doi.org/10.1007/s00170-022-10208-0
http://hdl.handle.net/10459.1/84993
Access Level:acceso abierto
Palabra clave:Lean manufacturing
Economic sustainability
TPM
Structural equations
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spelling Relationship between lean manufacturing tools and their sustainable economic benefitsDíaz-Reza, José RobertoGarcía-Alcaraz, Jorge LuisMárquez Figueroa, Luis JavierPuig, RitaSáenz Díez Muro, Juan CarlosLean manufacturingEconomic sustainabilityTPMStructural equationsTraditionally, the isolated relationship of total preventive maintenance (TPM), quick setup (QS), overall equipment effec- tiveness (OEE), and one-piece flow (OPF) with economic sustainability (ESU) has been investigated; however, these lean manufacturing (LM) tools are implemented together into production systems, and traditional research does not report their relationships and interactions. To contribute to this gap, this paper integrates all those variables in a structural equation model (SEM), which are related by seven hypotheses that are validated using the partial least squares (PLS) technique using information from 176 responses to a questionnaire applied to the Mexican maquiladora industry. Additionally, a sensitivity analysis has been carried out to determine the probability of occurrence at high and low implementation levels for all variables when they occur in isolation, jointly and conditionally. Findings indicate that TPM is a precursor of QS and OEE, while QS is a precursor of OEE and OPF, OEE is a precursor of OPF and ESU, but also OPF is a precursor of ESU. The sensitivity analysis indicates that low levels of TPM are a risk for reaching adequate levels of OEE and QC, while low levels in OEE and OPF are a risk for reaching adequate ESU levels.2022202220222022info:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.1007/s00170-022-10208-0http://hdl.handle.net/10459.1/84993http://hdl.handle.net/10459.1/84993reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésReproducció del document publicat a https://doi.org/10.1007/s00170-022-10208-0International Journal of Advanced Manufacturing Technology, 2022, vol. 123, num. 3-4, p. 1269-1284(c) Díaz-Reza, José Roberto et al., 2022info:eu-repo/semantics/openAccessoai:recercat.cat:10459.1/849932026-05-29T05:05:01Z
dc.title.none.fl_str_mv Relationship between lean manufacturing tools and their sustainable economic benefits
title Relationship between lean manufacturing tools and their sustainable economic benefits
spellingShingle Relationship between lean manufacturing tools and their sustainable economic benefits
Díaz-Reza, José Roberto
Lean manufacturing
Economic sustainability
TPM
Structural equations
title_short Relationship between lean manufacturing tools and their sustainable economic benefits
title_full Relationship between lean manufacturing tools and their sustainable economic benefits
title_fullStr Relationship between lean manufacturing tools and their sustainable economic benefits
title_full_unstemmed Relationship between lean manufacturing tools and their sustainable economic benefits
title_sort Relationship between lean manufacturing tools and their sustainable economic benefits
dc.creator.none.fl_str_mv Díaz-Reza, José Roberto
García-Alcaraz, Jorge Luis
Márquez Figueroa, Luis Javier
Puig, Rita
Sáenz Díez Muro, Juan Carlos
author Díaz-Reza, José Roberto
author_facet Díaz-Reza, José Roberto
García-Alcaraz, Jorge Luis
Márquez Figueroa, Luis Javier
Puig, Rita
Sáenz Díez Muro, Juan Carlos
author_role author
author2 García-Alcaraz, Jorge Luis
Márquez Figueroa, Luis Javier
Puig, Rita
Sáenz Díez Muro, Juan Carlos
author2_role author
author
author
author
dc.subject.none.fl_str_mv Lean manufacturing
Economic sustainability
TPM
Structural equations
topic Lean manufacturing
Economic sustainability
TPM
Structural equations
description Traditionally, the isolated relationship of total preventive maintenance (TPM), quick setup (QS), overall equipment effec- tiveness (OEE), and one-piece flow (OPF) with economic sustainability (ESU) has been investigated; however, these lean manufacturing (LM) tools are implemented together into production systems, and traditional research does not report their relationships and interactions. To contribute to this gap, this paper integrates all those variables in a structural equation model (SEM), which are related by seven hypotheses that are validated using the partial least squares (PLS) technique using information from 176 responses to a questionnaire applied to the Mexican maquiladora industry. Additionally, a sensitivity analysis has been carried out to determine the probability of occurrence at high and low implementation levels for all variables when they occur in isolation, jointly and conditionally. Findings indicate that TPM is a precursor of QS and OEE, while QS is a precursor of OEE and OPF, OEE is a precursor of OPF and ESU, but also OPF is a precursor of ESU. The sensitivity analysis indicates that low levels of TPM are a risk for reaching adequate levels of OEE and QC, while low levels in OEE and OPF are a risk for reaching adequate ESU levels.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://doi.org/10.1007/s00170-022-10208-0
http://hdl.handle.net/10459.1/84993
http://hdl.handle.net/10459.1/84993
url https://doi.org/10.1007/s00170-022-10208-0
http://hdl.handle.net/10459.1/84993
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a https://doi.org/10.1007/s00170-022-10208-0
International Journal of Advanced Manufacturing Technology, 2022, vol. 123, num. 3-4, p. 1269-1284
dc.rights.none.fl_str_mv (c) Díaz-Reza, José Roberto et al., 2022
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) Díaz-Reza, José Roberto et al., 2022
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
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