Management Model based on Total Productive Maintenance (TPM) and Six Sigma to increase Overall Equipment Effectiveness (OEE) in a Textile and Apparel Company in Lima, Peru

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This article addresses the challenge of low overall equipment effectiveness (OEE) within the textile industry. It identifies the need to enhance equipment availability, quality, and performance to tackle sectoral challenges. The main objective of this research study aimed to develop and implement a...

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Detalles Bibliográficos
Autores: Ortiz Porras, Jorge Enrique, Bancovich Erquínigo, Andrei Mijailo, Quintana Saavedra, Harold Smith, Crispin Chamorro, Paola Lisbeth, Huayanay Palma, Lisseth Margarita
Formato: artículo
Fecha de Publicación:2025
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:Revistas - Universidad Nacional Mayor de San Marcos
Lenguaje:español
inglés
OAI Identifier:oai:revistasinvestigacion.unmsm.edu.pe:article/26975
Enlace del recurso:https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/26975
Nivel de acceso:acceso abierto
Materia:textile industry
Six Sigma
total productive maintenance
overall equipment efficiency
industria textil
mantenimiento productivo total
eficiencia global de los equipos
Descripción
Sumario:This article addresses the challenge of low overall equipment effectiveness (OEE) within the textile industry. It identifies the need to enhance equipment availability, quality, and performance to tackle sectoral challenges. The main objective of this research study aimed to develop and implement a management model based on total productive maintenance (TPM) and Six Sigma, using a textile company as a case study. A sample of 28 machines from the Weaving Department was taken and various tools were applied, including internal analysis, process flow diagram (PFD), failure mode and effects analysis (FMEA), Pareto analysis, cause-and-effect matrix, 5S, TPM, I-MR charts, and control plans. As a result, a remarkable increase of 9.09% in OEE was achieved, demonstrating specific improvements of 5.18% in equipment availability, 4.23% in performance, and 1.6% in quality.
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