Bibliographic citations
Leon, A., Zamora, L. (2020). Modelo Lean Manufacturing de gestión de la producción basado en SAP-LAP para reducir retrasos en la línea de producción en Mypes del sector metalmecánico [Trabajo de investigación, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/653253
Leon, A., Zamora, L. Modelo Lean Manufacturing de gestión de la producción basado en SAP-LAP para reducir retrasos en la línea de producción en Mypes del sector metalmecánico [Trabajo de investigación]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2020. http://hdl.handle.net/10757/653253
@misc{renati/391967,
title = "Modelo Lean Manufacturing de gestión de la producción basado en SAP-LAP para reducir retrasos en la línea de producción en Mypes del sector metalmecánico",
author = "Zamora Huamancha, Leslie Azucena",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2020"
}
The purpose of this research is to present to the reader the repercussions generated by a deficient production process in a MYPE company in the metalworking sector. Following this line, it is intended to implement a production management model based on the Lean manufacturing technique with the SAP-LAP analysis to reduce delays in the production line. The objective of this project is to quantify the degree of improvement in delivery compliance by implementing the improvement proposal. This will reduce costs and generate greater productivity. In order to validate, an analysis of previous data is carried out in a metal-mechanical MYPE company, in order to generate a work base based on a production line, and then be able to compare the results of the implementation of Lean Manufacturing techniques through a simulation in the Arena program. like 5s, SMED and Preventive Maintenance. With the application of the SAP-LAP analysis (Situation, Actors, Processes, Learning, Action and performance). The results of the implementation of the proposal helped reduce delivery time on the production line by improving production time by 30% and increasing production by 5%. The good implementation of the model is essential to improve production processes. The application of these techniques benefits good performance in metalworking MYPES companies. In conclusion, the results obtained from the simulation demonstrate the reduction of delays in the production line. This can be seen by reducing production time and improving production.
This item is licensed under a Creative Commons License