Bibliographic citations
Allauca, M., Inca, Y. (2020). Modelo de Estandarización del Trabajo aplicando herramientas de Lean Manufacturing para disminuir mermas en el proceso de producción en Mypes del sector de alimentos [Trabajo de investigación, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/655430
Allauca, M., Inca, Y. Modelo de Estandarización del Trabajo aplicando herramientas de Lean Manufacturing para disminuir mermas en el proceso de producción en Mypes del sector de alimentos [Trabajo de investigación]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2020. http://hdl.handle.net/10757/655430
@misc{renati/394584,
title = "Modelo de Estandarización del Trabajo aplicando herramientas de Lean Manufacturing para disminuir mermas en el proceso de producción en Mypes del sector de alimentos",
author = "Inca Tomayquispe, Yenifer",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2020"
}
Micro, small and medium-sized companies represent 99.5% of the total number of companies nationwide and are the economic engine, generating 8.4 million jobs. However, they have a low survival rate of 67.5% and only 20% have a business plan before starting their operations. In addition, they face other problems such as the lack of planning and improvement of production processes. Thus, the lack of standardization of work in production processes causes losses for the company due to the generation of waste, unproductive times, and reprocessing. For this reason, a work standardization model was designed applying Lean Manufacturing tools in order to reduce waste and increase productivity. For its elaboration, the models proposed by Cesar J. and Sharma SS were taken as a basis. The validation of the model was carried out in a snack-producing Mype, of which the initial diagnosis identified as main problems the generation of waste and unnecessary displacements due to the variation of the working method used by the operator and an inadequate plant layout. After the application of the model, the losses of the production process were reduced by 59.58%, maintenance downtime was reduced by 50.88% and productivity was increased to 74.4%, concluding that the proposed model reduces waste and increases productivity.
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