Bibliographic citations
Mendoza, J., Quintanilla, D. (2021). Modelo de planificación de la gestión de la producción para mejorar la eficacia en Mypes del sector metalmecánico usando Material Requirement Planning (MRP) y Heijunka [Trabajo de investigación, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/655989
Mendoza, J., Quintanilla, D. Modelo de planificación de la gestión de la producción para mejorar la eficacia en Mypes del sector metalmecánico usando Material Requirement Planning (MRP) y Heijunka [Trabajo de investigación]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2021. http://hdl.handle.net/10757/655989
@misc{renati/395542,
title = "Modelo de planificación de la gestión de la producción para mejorar la eficacia en Mypes del sector metalmecánico usando Material Requirement Planning (MRP) y Heijunka",
author = "Quintanilla León, Diego Alonzo",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2021"
}
The metalworking sector in Peru is increasing its participation in the market, generating greater sales and greater volume of exports to other countries, however, the companies in the sector show a low level of efficiency in production compared to the demand of the sector since they do not the total demand is met. This inefficiency is due to the fact that most companies are informal and do not carry out adequate planning for production based, resulting in that they produce based on their experience, instinct and intuition, which generates a lot of improvisation in companies. To solve this problem, they proposed a production management planning model using the material requirement planning (MRP) and Heijunka tools in order to have control of the production process and the company's inventory, as well as to be able to level the different production lines to reduce overstock and cost overruns. They carried out a case study in a Mype company in the metalworking sector specialized in the production of galvanized boxes where they implemented the proposed model and compared the results of the current process and the process with the implementation of the solution, resulting in an improvement in the productivity of 30%.
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