Enhancing Service Efficiency in Peruvian Automotive Workshops through the Integration of SMED, KANBAN, and TPM: A Lean-Based Empirical Study

The automotive industry in Peru is a key sector of the economy, with steady growth in vehicle sales, leading to increased demand for maintenance services. However, auto repair shops face critical challenges such as delivery delays, post-service complaints, and inefficient resource management due to...

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Autores: Montes Cabrera, Abdel Farid, Gherardi Jimenez, Flavia, Quiroz Flores, Juan Carlos
Tipo de recurso: artículo
Fecha de publicación:2025
País:Perú
Institución:Universidad de Lima
Repositorio:ULIMA-Institucional
Idioma:inglés
OAI Identifier:oai:repositorio.ulima.edu.pe:20.500.12724/24444
Acceso en línea:https://hdl.handle.net/20.500.12724/24444
https://doi.org/10.14445/22315381/IJETT-V73I5P114
Access Level:acceso abierto
Palabra clave:Pendiente
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spelling Quiroz Flores, Juan CarlosMontes Cabrera, Abdel Farid (Ingeniería Industrial)Gherardi Jimenez, Flavi (Ingeniería Industrial)2026-03-02T20:53:03Z2026-03-02T20:53:03Z20252231-5381https://hdl.handle.net/20.500.12724/24444International Journal of Engineering Trends and Technology0000000121541816https://doi.org/10.14445/22315381/IJETT-V73I5P1142-s2.0-105007068195The automotive industry in Peru is a key sector of the economy, with steady growth in vehicle sales, leading to increased demand for maintenance services. However, auto repair shops face critical challenges such as delivery delays, post-service complaints, and inefficient resource management due to unplanned mechanical failures, prolonged setup times, and stockout issues. This study proposes a model based on TPM, SMED, and Kanban. TPM, through preventive and autonomous maintenance, aims to reduce unplanned failures and increase equipment availability. SMED addresses the reduction of setup times by standardizing processes. Kanban improves inventory management using boards and cards that optimize turnover and reduce stockouts. Simulations were conducted using Arena software, and statistical validations, including Kolmogorov-Smirnov and Chi-square tests, were applied to analyze time distributions with Input Analyzer. Kanban was validated through a baseline and improved model using a pilot test with Kanban boards and cards, along with Arena software simulation, while TPM and SMED were evaluated with joint simulations using Input Analyzer, ensuring 95% confidence intervals. The results show an increase in service level from 82.67% to 92.72%, surpassing industry standards and confirming the model’s effectiveness in improving operational efficiency. This approach is replicable and contributes to the competitive development of the automotive sector, enhancing customer satisfaction in repair shops in emerging markets.htmlengSeventh Sense Research GroupMYurn:issn: 2231-5381info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/PendientePendienteEnhancing Service Efficiency in Peruvian Automotive Workshops through the Integration of SMED, KANBAN, and TPM: A Lean-Based Empirical Studyinfo:eu-repo/semantics/articleArtículo (Scopus)reponame:ULIMA-Institucionalinstname:Universidad de Limainstacron:ULIMAMontes Cabrera, Abdel FaridGherardi Jimenez, FlaviaQuiroz Flores, Juan Carlos20.500.12724/24444oai:repositorio.ulima.edu.pe:20.500.12724/244442026-03-02 15:53:03.583Repositorio Universidad de Limarepositorio@ulima.edu.pe
dc.title.none.fl_str_mv Enhancing Service Efficiency in Peruvian Automotive Workshops through the Integration of SMED, KANBAN, and TPM: A Lean-Based Empirical Study
title Enhancing Service Efficiency in Peruvian Automotive Workshops through the Integration of SMED, KANBAN, and TPM: A Lean-Based Empirical Study
spellingShingle Enhancing Service Efficiency in Peruvian Automotive Workshops through the Integration of SMED, KANBAN, and TPM: A Lean-Based Empirical Study
Montes Cabrera, Abdel Farid
Pendiente
Pendiente
title_short Enhancing Service Efficiency in Peruvian Automotive Workshops through the Integration of SMED, KANBAN, and TPM: A Lean-Based Empirical Study
title_full Enhancing Service Efficiency in Peruvian Automotive Workshops through the Integration of SMED, KANBAN, and TPM: A Lean-Based Empirical Study
title_fullStr Enhancing Service Efficiency in Peruvian Automotive Workshops through the Integration of SMED, KANBAN, and TPM: A Lean-Based Empirical Study
title_full_unstemmed Enhancing Service Efficiency in Peruvian Automotive Workshops through the Integration of SMED, KANBAN, and TPM: A Lean-Based Empirical Study
title_sort Enhancing Service Efficiency in Peruvian Automotive Workshops through the Integration of SMED, KANBAN, and TPM: A Lean-Based Empirical Study
dc.creator.none.fl_str_mv Montes Cabrera, Abdel Farid
Gherardi Jimenez, Flavia
Quiroz Flores, Juan Carlos
author Montes Cabrera, Abdel Farid
author_facet Montes Cabrera, Abdel Farid
Gherardi Jimenez, Flavia
Quiroz Flores, Juan Carlos
author_role author
author2 Gherardi Jimenez, Flavia
Quiroz Flores, Juan Carlos
author2_role author
author
dc.contributor.other.none.fl_str_mv Quiroz Flores, Juan Carlos
dc.contributor.student.none.fl_str_mv Montes Cabrera, Abdel Farid (Ingeniería Industrial)
Gherardi Jimenez, Flavi (Ingeniería Industrial)
dc.subject.none.fl_str_mv Pendiente
topic Pendiente
Pendiente
dc.subject.ocde.none.fl_str_mv Pendiente
description The automotive industry in Peru is a key sector of the economy, with steady growth in vehicle sales, leading to increased demand for maintenance services. However, auto repair shops face critical challenges such as delivery delays, post-service complaints, and inefficient resource management due to unplanned mechanical failures, prolonged setup times, and stockout issues. This study proposes a model based on TPM, SMED, and Kanban. TPM, through preventive and autonomous maintenance, aims to reduce unplanned failures and increase equipment availability. SMED addresses the reduction of setup times by standardizing processes. Kanban improves inventory management using boards and cards that optimize turnover and reduce stockouts. Simulations were conducted using Arena software, and statistical validations, including Kolmogorov-Smirnov and Chi-square tests, were applied to analyze time distributions with Input Analyzer. Kanban was validated through a baseline and improved model using a pilot test with Kanban boards and cards, along with Arena software simulation, while TPM and SMED were evaluated with joint simulations using Input Analyzer, ensuring 95% confidence intervals. The results show an increase in service level from 82.67% to 92.72%, surpassing industry standards and confirming the model’s effectiveness in improving operational efficiency. This approach is replicable and contributes to the competitive development of the automotive sector, enhancing customer satisfaction in repair shops in emerging markets.
publishDate 2025
dc.date.accessioned.none.fl_str_mv 2026-03-02T20:53:03Z
dc.date.available.none.fl_str_mv 2026-03-02T20:53:03Z
dc.date.issued.fl_str_mv 2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.other.none.fl_str_mv Artículo (Scopus)
format article
dc.identifier.issn.none.fl_str_mv 2231-5381
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12724/24444
dc.identifier.journal.none.fl_str_mv International Journal of Engineering Trends and Technology
dc.identifier.isni.none.fl_str_mv 0000000121541816
dc.identifier.doi.none.fl_str_mv https://doi.org/10.14445/22315381/IJETT-V73I5P114
dc.identifier.scopusid.none.fl_str_mv 2-s2.0-105007068195
identifier_str_mv 2231-5381
International Journal of Engineering Trends and Technology
0000000121541816
2-s2.0-105007068195
url https://hdl.handle.net/20.500.12724/24444
https://doi.org/10.14445/22315381/IJETT-V73I5P114
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv urn:issn: 2231-5381
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.none.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.format.none.fl_str_mv html
dc.publisher.none.fl_str_mv Seventh Sense Research Group
dc.publisher.country.none.fl_str_mv MY
publisher.none.fl_str_mv Seventh Sense Research Group
dc.source.none.fl_str_mv reponame:ULIMA-Institucional
instname:Universidad de Lima
instacron:ULIMA
instname_str Universidad de Lima
instacron_str ULIMA
institution ULIMA
reponame_str ULIMA-Institucional
collection ULIMA-Institucional
repository.name.fl_str_mv Repositorio Universidad de Lima
repository.mail.fl_str_mv repositorio@ulima.edu.pe
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