Integrated model based on TPM and SMED to increase the efficiency in a plastic SME in Peru

Descripción del Articulo

For years, plastic has been used around the world due to its ability to acquire different shapes and textures, and its usefulness in applications such as medicine, food, agriculture, construction, and everyday objects. The great value of the plastics industry in Peru is reflected in its contribution...

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Detalles Bibliográficos
Autor: Aratoma Choque, Salvatore Eugenio
Formato: tesis de grado
Fecha de Publicación:2025
Institución:Universidad de Lima
Repositorio:ULIMA-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.ulima.edu.pe:20.500.12724/22907
Enlace del recurso:https://hdl.handle.net/20.500.12724/22907
Nivel de acceso:acceso abierto
Materia:Producción eficiente
Mantenimiento productivo total
Administración de la producción
Productividad
Procesos industriales
Mantenimiento industrial
Industria y comercio del plástico
Pequeñas y medianas empresas
Industrias manufactureras
Eficiencia industrial
https://purl.org/pe-repo/ocde/ford#2.11.04
Descripción
Sumario:For years, plastic has been used around the world due to its ability to acquire different shapes and textures, and its usefulness in applications such as medicine, food, agriculture, construction, and everyday objects. The great value of the plastics industry in Peru is reflected in its contribution to the industrial GDP of 4%, in addition to the 200,000 jobs that are generated annually. The objective of the research was to analyze and develop lean manufacturing tools to achieve a model that increases the efficiency of the production plan in an SME plastics company. Preventive maintenance, which is based on the review of machinery, devices, and equipment for their proper functioning, helped us increase OEE by 15% and reduce maintenance costs by 35%; while the SMED tool, which is based on the identification and measurement of machine changeover times, helped us reduce machinery preparation times by 41%. By achieving these improvements, which were analyzed through KPIs and simulated in the Arena program, an increase in the efficiency of the production process to 75% was obtained.
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