Assessing the Impact of lean tools on production and safety by a multicriteria decision-making model and statistical analysis: a case study in textile sector
The global competitiveness creates an enormous pressure on companies as they need to reduce production costs in order to increase productivity. In this sense, the SMED and 5S tools appear as competent tools to reduce the waste associated with these processes. This work aims to study and assess some...
- Autores:
-
Jose Carlos, Sá
Jorge, Joni Pinto
Santos, Gilberto
Félix, Maria João
Barreto, Luís
Jiménez-Delgado, Genett
Rondón Rodriguez, Carlos Andres
Vargas Mercado, Carlos
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2021
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/9486
- Acceso en línea:
- https://hdl.handle.net/11323/9486
https://doi.org/10.1007/978-3-030-90966-6_42
https://repositorio.cuc.edu.co/
- Palabra clave:
- Lean
Lean safety
5S
SMED
Lean tools
MCDM
Fuzzy AHP
TOPSIS
- Rights
- embargoedAccess
- License
- © 2022 Springer Nature Switzerland AG. Part of Springer Nature.
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dc.title.eng.fl_str_mv |
Assessing the Impact of lean tools on production and safety by a multicriteria decision-making model and statistical analysis: a case study in textile sector |
title |
Assessing the Impact of lean tools on production and safety by a multicriteria decision-making model and statistical analysis: a case study in textile sector |
spellingShingle |
Assessing the Impact of lean tools on production and safety by a multicriteria decision-making model and statistical analysis: a case study in textile sector Lean Lean safety 5S SMED Lean tools MCDM Fuzzy AHP TOPSIS |
title_short |
Assessing the Impact of lean tools on production and safety by a multicriteria decision-making model and statistical analysis: a case study in textile sector |
title_full |
Assessing the Impact of lean tools on production and safety by a multicriteria decision-making model and statistical analysis: a case study in textile sector |
title_fullStr |
Assessing the Impact of lean tools on production and safety by a multicriteria decision-making model and statistical analysis: a case study in textile sector |
title_full_unstemmed |
Assessing the Impact of lean tools on production and safety by a multicriteria decision-making model and statistical analysis: a case study in textile sector |
title_sort |
Assessing the Impact of lean tools on production and safety by a multicriteria decision-making model and statistical analysis: a case study in textile sector |
dc.creator.fl_str_mv |
Jose Carlos, Sá Jorge, Joni Pinto Santos, Gilberto Félix, Maria João Barreto, Luís Jiménez-Delgado, Genett Rondón Rodriguez, Carlos Andres Vargas Mercado, Carlos |
dc.contributor.author.spa.fl_str_mv |
Jose Carlos, Sá Jorge, Joni Pinto Santos, Gilberto Félix, Maria João Barreto, Luís Jiménez-Delgado, Genett Rondón Rodriguez, Carlos Andres Vargas Mercado, Carlos |
dc.subject.proposal.eng.fl_str_mv |
Lean Lean safety 5S SMED Lean tools MCDM Fuzzy AHP TOPSIS |
topic |
Lean Lean safety 5S SMED Lean tools MCDM Fuzzy AHP TOPSIS |
description |
The global competitiveness creates an enormous pressure on companies as they need to reduce production costs in order to increase productivity. In this sense, the SMED and 5S tools appear as competent tools to reduce the waste associated with these processes. This work aims to study and assess some processes in a company in the textile sector. Improvement proposals supported in the SMED and 5S methodology are presented in different areas of the company. Advantages, investments, and respective return times are presented. Regarding to SMED, reductions in setup time in the order of 30–40% were obtained with investment return times between 6 and 7 months. The implementation of the 5S allowed to reduce the time and distance traveled for a given task. The reorganization of the area, it was possible to obtain a space gain of about 58 m2. For this purpose, a multi-criteria decision model was designed to diagnose the critical areas for the implementation of Lean tools. Then, a questionnaire was also applied to the workers, with the goal to assess the impact of the implementation of lean philosophy in the field of occupational safety. |
publishDate |
2021 |
dc.date.issued.none.fl_str_mv |
2021-07-29 |
dc.date.accessioned.none.fl_str_mv |
2022-08-31T17:58:45Z |
dc.date.available.none.fl_str_mv |
2022-07-29 2022-08-31T17:58:45Z |
dc.type.spa.fl_str_mv |
Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.content.spa.fl_str_mv |
Text |
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info:eu-repo/semantics/article |
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http://purl.org/redcol/resource_type/ART |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/draft |
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dc.identifier.citation.spa.fl_str_mv |
Sá, J.C. et al. (2021). Assessing the Impact of Lean Tools on Production and Safety by a Multicriteria Decision-Making Model and Statistical Analysis: A Case Study in Textile Sector. In: , et al. HCI International 2021 - Late Breaking Papers: HCI Applications in Health, Transport, and Industry. HCII 2021. Lecture Notes in Computer Science(), vol 13097. Springer, Cham. https://doi.org/10.1007/978-3-030-90966-6_42 |
dc.identifier.issn.spa.fl_str_mv |
0302-9743 |
dc.identifier.uri.spa.fl_str_mv |
https://hdl.handle.net/11323/9486 |
dc.identifier.url.spa.fl_str_mv |
https://doi.org/10.1007/978-3-030-90966-6_42 |
dc.identifier.doi.spa.fl_str_mv |
10.1007/978-3-030-90966-6_42 |
dc.identifier.eissn.spa.fl_str_mv |
1611-3349 |
dc.identifier.instname.spa.fl_str_mv |
Corporacion Universidad de la Costa |
dc.identifier.reponame.spa.fl_str_mv |
REDICUC - Repositorio CUC |
dc.identifier.repourl.spa.fl_str_mv |
https://repositorio.cuc.edu.co/ |
identifier_str_mv |
Sá, J.C. et al. (2021). Assessing the Impact of Lean Tools on Production and Safety by a Multicriteria Decision-Making Model and Statistical Analysis: A Case Study in Textile Sector. In: , et al. HCI International 2021 - Late Breaking Papers: HCI Applications in Health, Transport, and Industry. HCII 2021. Lecture Notes in Computer Science(), vol 13097. Springer, Cham. https://doi.org/10.1007/978-3-030-90966-6_42 0302-9743 10.1007/978-3-030-90966-6_42 1611-3349 Corporacion Universidad de la Costa REDICUC - Repositorio CUC |
url |
https://hdl.handle.net/11323/9486 https://doi.org/10.1007/978-3-030-90966-6_42 https://repositorio.cuc.edu.co/ |
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eng |
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eng |
dc.relation.ispartofjournal.spa.fl_str_mv |
Lecture Notes in Computer Science |
dc.relation.references.spa.fl_str_mv |
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Cited 9 times. pp Jimenez-Delgado, G., Balmaceda-Castro, N., Hernández-Palma, H., de la Hoz-Franco, E., García-Guiliany, J., Martinez-Ventura, J.: An integrated approach of multiple correspondences analysis (MCA) and fuzzy AHP method for occupational health and safety performance evaluation in the land cargo transportation. In: Duffy, V.G. (ed.) HCII 2019. LNCS, vol. 11581, pp. 433–457. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22216-1_32 Jiménez-Delgado, G., Santos, G., Félix, M.J., Teixeira, P., Sá, J.C. A combined ahp-topsis approach for evaluating the process of innovation and integration of management systems in the logistic sector (2020) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12427 LNCS, pp. 535-559. Cited 9 times. https://www.springer.com/series/558 ISBN: 978-303060151-5 doi: 10.1007/978-3-030-60152-2_40 Jimenez-Delgado, G., Senior-Naveda, A., Marín-Gonzalez, F., García-Guiliany, J., Fontalvo-Molina, L., Ruiz-Muñoz, M., Hernández-Palma, H., (...), Santos-Hernandez, B. Improving the performance in occupational health and safety management in the electric sector: An integrated methodology using fuzzy multicriteria approach (Open Access) (2020) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12199 LNCS, pp. 130-158. Cited 2 times. https://www.springer.com/series/558 ISBN: 978-303049906-8 doi: 10.1007/978-3-030-49907-5_10 |
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Jose Carlos, SáJorge, Joni PintoSantos, GilbertoFélix, Maria JoãoBarreto, LuísJiménez-Delgado, GenettRondón Rodriguez, Carlos AndresVargas Mercado, Carlos2022-08-31T17:58:45Z2022-07-292022-08-31T17:58:45Z2021-07-29Sá, J.C. et al. (2021). Assessing the Impact of Lean Tools on Production and Safety by a Multicriteria Decision-Making Model and Statistical Analysis: A Case Study in Textile Sector. In: , et al. HCI International 2021 - Late Breaking Papers: HCI Applications in Health, Transport, and Industry. HCII 2021. Lecture Notes in Computer Science(), vol 13097. Springer, Cham. https://doi.org/10.1007/978-3-030-90966-6_420302-9743https://hdl.handle.net/11323/9486https://doi.org/10.1007/978-3-030-90966-6_4210.1007/978-3-030-90966-6_421611-3349Corporacion Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The global competitiveness creates an enormous pressure on companies as they need to reduce production costs in order to increase productivity. In this sense, the SMED and 5S tools appear as competent tools to reduce the waste associated with these processes. This work aims to study and assess some processes in a company in the textile sector. Improvement proposals supported in the SMED and 5S methodology are presented in different areas of the company. Advantages, investments, and respective return times are presented. Regarding to SMED, reductions in setup time in the order of 30–40% were obtained with investment return times between 6 and 7 months. The implementation of the 5S allowed to reduce the time and distance traveled for a given task. The reorganization of the area, it was possible to obtain a space gain of about 58 m2. For this purpose, a multi-criteria decision model was designed to diagnose the critical areas for the implementation of Lean tools. Then, a questionnaire was also applied to the workers, with the goal to assess the impact of the implementation of lean philosophy in the field of occupational safety.23 páginasapplication/pdfengLecture Notes in Computer ScienceGermany© 2022 Springer Nature Switzerland AG. 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Cited 2 times. https://www.springer.com/series/558 ISBN: 978-303049906-8 doi: 10.1007/978-3-030-49907-5_1063861613097LeanLean safety5SSMEDLean toolsMCDMFuzzy AHPTOPSISPublicationORIGINALAssessing the Impact of Lean Tools on Production and Safety by a Multicriteria Decision.pdfAssessing the Impact of Lean Tools on Production and Safety by a Multicriteria Decision.pdfapplication/pdf127581https://repositorio.cuc.edu.co/bitstreams/b3f6485d-0f14-424c-8a9d-3fd9d4a9a1cc/downloadfe5f523597d2c43d9a9dbd8bbea3b7d9MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-83196https://repositorio.cuc.edu.co/bitstreams/fe0de108-6906-4148-9676-dec907a7ff68/downloade30e9215131d99561d40d6b0abbe9badMD52TEXTAssessing the Impact of Lean Tools on Production and Safety by a Multicriteria Decision.pdf.txtAssessing the Impact of Lean Tools on Production and Safety by a Multicriteria Decision.pdf.txttext/plain1628https://repositorio.cuc.edu.co/bitstreams/1fa2eb1b-1a48-4d91-af2e-3420509788ce/downloaddd842781e4cf1762fb3953f4699d25c7MD53THUMBNAILAssessing the Impact of Lean Tools on Production and Safety by a Multicriteria Decision.pdf.jpgAssessing the Impact of Lean Tools on Production and Safety by a Multicriteria Decision.pdf.jpgimage/jpeg11761https://repositorio.cuc.edu.co/bitstreams/92a4796a-75d8-44f9-85da-caba7c0a2bb8/download57daffaae453d3ab898c856f3d0b5ab1MD5411323/9486oai:repositorio.cuc.edu.co:11323/94862024-09-17 14:07:04.031https://creativecommons.org/licenses/by/4.0/© 2022 Springer Nature Switzerland AG. 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