Improvement Model to Increase Productivity Using SLP, 5S and Standard Work at a Pisco Producer SME in Peru

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Over the years, the Pisco industry has experienced a significant growth, which is why the SMEs in the sector need to improve their production processes. Many of these companies have difficulties in their production processes related to low productivity, mainly due to inefficient plant distribution....

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Detalles Bibliográficos
Autores: Kcomt Villavicencio, Pedro Andre, Santa Maria Sotelo, Iago Martin
Formato: tesis de grado
Fecha de Publicación:2024
Institución:Universidad de Lima
Repositorio:ULIMA-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.ulima.edu.pe:20.500.12724/22206
Enlace del recurso:https://hdl.handle.net/20.500.12724/22206
Nivel de acceso:acceso abierto
Materia:Industrias de destilación
Industria de las bebidas alcohólicas
Pequeñas y medianas empresas
Producción eficiente
Normas de producción
Distribución en planta
Productividad laboral
Productividad
https://purl.org/pe-repo/ocde/ford#2.11.04
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dc.title.en_EN.fl_str_mv Improvement Model to Increase Productivity Using SLP, 5S and Standard Work at a Pisco Producer SME in Peru
title Improvement Model to Increase Productivity Using SLP, 5S and Standard Work at a Pisco Producer SME in Peru
spellingShingle Improvement Model to Increase Productivity Using SLP, 5S and Standard Work at a Pisco Producer SME in Peru
Kcomt Villavicencio, Pedro Andre
Industrias de destilación
Industria de las bebidas alcohólicas
Pequeñas y medianas empresas
Producción eficiente
Normas de producción
Distribución en planta
Productividad laboral
Productividad
https://purl.org/pe-repo/ocde/ford#2.11.04
title_short Improvement Model to Increase Productivity Using SLP, 5S and Standard Work at a Pisco Producer SME in Peru
title_full Improvement Model to Increase Productivity Using SLP, 5S and Standard Work at a Pisco Producer SME in Peru
title_fullStr Improvement Model to Increase Productivity Using SLP, 5S and Standard Work at a Pisco Producer SME in Peru
title_full_unstemmed Improvement Model to Increase Productivity Using SLP, 5S and Standard Work at a Pisco Producer SME in Peru
title_sort Improvement Model to Increase Productivity Using SLP, 5S and Standard Work at a Pisco Producer SME in Peru
author Kcomt Villavicencio, Pedro Andre
author_facet Kcomt Villavicencio, Pedro Andre
Santa Maria Sotelo, Iago Martin
author_role author
author2 Santa Maria Sotelo, Iago Martin
author2_role author
dc.contributor.advisor.fl_str_mv Urbina Rivera, Carlos Medardo
dc.contributor.author.fl_str_mv Kcomt Villavicencio, Pedro Andre
Santa Maria Sotelo, Iago Martin
dc.subject.es_PE.fl_str_mv Industrias de destilación
Industria de las bebidas alcohólicas
Pequeñas y medianas empresas
Producción eficiente
Normas de producción
Distribución en planta
Productividad laboral
Productividad
topic Industrias de destilación
Industria de las bebidas alcohólicas
Pequeñas y medianas empresas
Producción eficiente
Normas de producción
Distribución en planta
Productividad laboral
Productividad
https://purl.org/pe-repo/ocde/ford#2.11.04
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#2.11.04
description Over the years, the Pisco industry has experienced a significant growth, which is why the SMEs in the sector need to improve their production processes. Many of these companies have difficulties in their production processes related to low productivity, mainly due to inefficient plant distribution. Therefore, the main purpose of this scientific article is to support these companies in the Pisco industry by increasing their productivity. This will be achieved by implementing the following improvement proposal using the engineering tools of Systematic Layout Planning, 5S and Standard Work. The proposal of this article is a new plant layout, in order to eliminate unnecessary transfers in the production process, alongside with standardized processes and an innovative temperature control system. The proposed model was validated with the use of Arena Software by comparing the pre-implementation and post-implementation results of the model, in order to verify if the implementation of these tools had a positive impact on the Pisco producing company. As a result, the productivity increased in 11%, the transfer times between stages were reduced from 20,36 hours to 13,86 hours, meaning a 31,92% reduction per production process; and the waste generated during the process were reduced by 11%. Also, from a financial point of view, a payback period of 1,51 years and a NPV of USD 3 938,92 were obtained.
publishDate 2024
dc.date.accessioned.none.fl_str_mv 2025-02-10T23:23:32Z
dc.date.available.none.fl_str_mv 2025-02-10T23:23:32Z
dc.date.issued.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/bachelorThesis
dc.type.other.none.fl_str_mv Tesis
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dc.identifier.citation.es_PE.fl_str_mv Kcomt Villavicencio, P. A., & Santa Maria Sotelo, I. M. (2024). Improvement Model to Increase Productivity Using SLP, 5S and Standard Work at a Pisco Producer SME in Peru [Tesis para optar el Título Profesional de Ingeniero Industrial, Universidad de Lima]. Repositorio Institucional de la Universidad de Lima. https://hdl.handle.net/20.500.12724/22206
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12724/22206
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identifier_str_mv Kcomt Villavicencio, P. A., & Santa Maria Sotelo, I. M. (2024). Improvement Model to Increase Productivity Using SLP, 5S and Standard Work at a Pisco Producer SME in Peru [Tesis para optar el Título Profesional de Ingeniero Industrial, Universidad de Lima]. Repositorio Institucional de la Universidad de Lima. https://hdl.handle.net/20.500.12724/22206
0000000121541816
url https://hdl.handle.net/20.500.12724/22206
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.fl_str_mv SUNEDU
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dc.publisher.none.fl_str_mv Universidad de Lima
dc.publisher.country.none.fl_str_mv PE
publisher.none.fl_str_mv Universidad de Lima
dc.source.none.fl_str_mv Repositorio Institucional - Ulima
Universidad de Lima
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spelling Urbina Rivera, Carlos MedardoKcomt Villavicencio, Pedro AndreSanta Maria Sotelo, Iago Martin2025-02-10T23:23:32Z2025-02-10T23:23:32Z2024Kcomt Villavicencio, P. A., & Santa Maria Sotelo, I. M. (2024). Improvement Model to Increase Productivity Using SLP, 5S and Standard Work at a Pisco Producer SME in Peru [Tesis para optar el Título Profesional de Ingeniero Industrial, Universidad de Lima]. Repositorio Institucional de la Universidad de Lima. https://hdl.handle.net/20.500.12724/22206https://hdl.handle.net/20.500.12724/222060000000121541816Over the years, the Pisco industry has experienced a significant growth, which is why the SMEs in the sector need to improve their production processes. Many of these companies have difficulties in their production processes related to low productivity, mainly due to inefficient plant distribution. Therefore, the main purpose of this scientific article is to support these companies in the Pisco industry by increasing their productivity. This will be achieved by implementing the following improvement proposal using the engineering tools of Systematic Layout Planning, 5S and Standard Work. The proposal of this article is a new plant layout, in order to eliminate unnecessary transfers in the production process, alongside with standardized processes and an innovative temperature control system. The proposed model was validated with the use of Arena Software by comparing the pre-implementation and post-implementation results of the model, in order to verify if the implementation of these tools had a positive impact on the Pisco producing company. As a result, the productivity increased in 11%, the transfer times between stages were reduced from 20,36 hours to 13,86 hours, meaning a 31,92% reduction per production process; and the waste generated during the process were reduced by 11%. Also, from a financial point of view, a payback period of 1,51 years and a NPV of USD 3 938,92 were obtained.Con el pasar de los años, la industria pisquera ha tenido crecimientos significativos, por este motivo se requiere una mejora en los procesos de producción en las pequeñas y medianas empresas del sector. Muchas de estas empresas tienen dificultades en sus procesos productivos relacionados con una baja productividad, principalmente por una distribución de la planta ineficiente. Debido a ello, el propósito principal de este artículo científico es apoyar a estas empresas del sector pisquero al aumentar su productividad. Esto se logrará al implementar la presente propuesta de mejora utilizando las herramientas de ingeniería de Systematic Layout Planning, 5S y Standard Work. La propuesta de este artículo es una nueva distribución de la planta para eliminar traslados innecesarios en el proceso productivo, junto con procesos estandarizados y un innovador sistema de control de temperatura. El modelo propuesto fue validado con el uso del software de Arena, comparando los resultados previos a la implementación y post implementación del modelo, con el fin de verificar si la implementación de estas herramientas tuvo un impacto positivo en la empresa productora de Pisco. Como resultado, se obtuvo un incremento en la productividad de la empresa en un 11%, los tiempos de traslado entre etapas se redujeron de 20.36 horas a 13.86 horas, significando una reducción del 31.92% por proceso productivo; y las mermas generadas durante el proceso se redujeron en un 11.8%. En suma, a nivel financiero, se obtuvo un periodo de recupero de 1.57 años y un VAN de USD 7 084.40.application/pdfengUniversidad de LimaPEinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/Repositorio Institucional - UlimaUniversidad de Limareponame:ULIMA-Institucionalinstname:Universidad de Limainstacron:ULIMAIndustrias de destilaciónIndustria de las bebidas alcohólicasPequeñas y medianas empresasProducción eficienteNormas de producciónDistribución en plantaProductividad laboralProductividadhttps://purl.org/pe-repo/ocde/ford#2.11.04Improvement Model to Increase Productivity Using SLP, 5S and Standard Work at a Pisco Producer SME in Peruinfo:eu-repo/semantics/bachelorThesisTesisSUNEDUTítulo ProfesionalIngeniería IndustrialUniversidad de Lima. 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