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Productivity increase through the application of Lean, TQM and SLP TOOLS in the peruvian craft brewery cluster
dc.contributor.advisor | Flores Pérez, Alberto Enrique | |
dc.contributor.author | Ulloa Durand, Jose Alonso | |
dc.contributor.author | Vargas Altamirano, Ander Fabricio | |
dc.date.accessioned | 2023-06-30T18:18:39Z | |
dc.date.available | 2023-06-30T18:18:39Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Ulloa Durand, J. A. & Vargas Altamirano, A. F. (2023). Productivity increase through the application of Lean, TQM and SLP TOOLS in the peruvian craft brewery cluster [Tesis para optar el Título Profesional de Ingeniero Industrial, Universidad de Lima]. Repositorio institucional de la Universidad de Lima. https://hdl.handle.net/20.500.12724/18429 | es_PE |
dc.identifier.uri | https://hdl.handle.net/20.500.12724/18429 | |
dc.description.abstract | The brewing industry has evolved over the years, attracting many customers. Therefore, due to the diversity of tastes and preferences, craft brewing companies were born, becoming the livelihood of thousands of families in the national territory. However, most of them are empirical or do not have a correct working method, which adds a lot of time and a complicated production process. In addition, there is a lack of efficient plant design and they do not consider order, cleanliness, and organization in their operations due to the precariousness of knowledge of improvement tools. Therefore, the main objective of this investigation is to increase productivity in the areas of supply and production through the development of an integrated model of 5S, Standardized Work, Systematic Layout Planning (SLP) and Total Quality Management (TQM) framework. Through the implementation of this Lean model and its corresponding simulation in Arena software, it was possible to increase productivity by 15.21%, increasing production and reducing times, in addition to increasing revenues by approximately PEN 24,000. | es_PE |
dc.format | application/pdf | |
dc.language.iso | spa | |
dc.publisher | Universidad de Lima | es_PE |
dc.rights | info:eu-repo/semantics/openAccess | * |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-sa/4.0/ | * |
dc.source | Repositorio Institucional Ulima | |
dc.source | Universidad de Lima | |
dc.subject | Productividad | es_PE |
dc.subject | Producción eficiente | es_PE |
dc.subject | Gestión de la calidad total | es_PE |
dc.subject | Disposición de planta | es_PE |
dc.subject | Industria cervecera | es_PE |
dc.subject | Industrial productivity | es_PE |
dc.subject | Lean manufacturing | es_PE |
dc.subject | Total quality management | es_PE |
dc.subject | Plant layout | es_PE |
dc.subject | Beer industry | es_PE |
dc.subject.classification | es_PE | |
dc.subject.classification | Ingeniería industrial / Producción y logística | es_PE |
dc.title | Productivity increase through the application of Lean, TQM and SLP TOOLS in the peruvian craft brewery cluster | es_PE |
dc.title.alternative | Productivity Increase Through the Application of Lean, TQM and SLP Tools in the Peruvian Craft Brewery Cluster | es_PE |
dc.type | info:eu-repo/semantics/bachelorThesis | |
thesis.degree.discipline | Ingeniería Industrial | es_PE |
thesis.degree.grantor | Universidad de Lima. Facultad de Ingeniería y Arquitectura | es_PE |
thesis.degree.level | Título profesional | es_PE |
dc.type.other | Tesis | |
thesis.degree.name | Ingeniero Industrial | es_PE |
dc.publisher.country | PE | es_PE |
dc.subject.ocde | https://purl.org/pe-repo/ocde/ford#2.11.04 | |
renati.author.dni | 73196503 | |
renati.author.dni | 72308133 | |
renati.advisor.orcid | https://orcid.org/0000-0003-0813-0662 | |
renati.advisor.dni | 09278816 | |
renati.juror | Quiroz Flores, Juan Carlos | |
renati.juror | Flores Pérez, Alberto Enrique | |
renati.juror | Bonilla Pastor, Elsie Violeta | |
renati.level | http://purl.org/pe-repo/renati/level#tituloProfesional | * |
renati.type | https://purl.org/pe-repo/renati/type#tesis | * |
renati.discipline | 722026 | |
ulima.cat | 015 | |
dc.identifier.isni | 121541816 |
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