Maestría en Matemática Aplicada
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Item Modelo estadístico para la planificación de la producción en una ensambladora de vehículos, mediante la metodología Lean Manufacturing(Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Maestría en Matemática Aplicada, 2021) Gavidia García, José Luis; Meneses Freire, Manuel AntonioEXECUTIVE SUMMARY The main objective of this study was to design a statistical model for production planning in a vehicle assembly plant, using the Lean Manufacturing methodology, which covers topics related to the calculation of Takt-Time, focused on the analysis of times and movements, with in order to eliminate downtime, thereby generating an adequate balancing of production lines that are coupled with production planning in the assembly of the HAVAL M4 AC 1.5 5P 4X2 Model vehicle produced by the company Ciauto Cía. Ltda. Initially, the identification of the different assembly processes that are executed in the ten workstations was carried out, in order to carry out the taking of times through the use of a stopwatch, managing to determine the bottleneck within the assembly process of the Model M4, condescending of this condition to manage alternative solutions for a production of eleven units per day. In the analysis of the Installed Capacity (CI) a value of 12 vehicles / day was obtained, this means that the assembler based on its resources, equipment and infrastructure is capable of assembling 6 M4 Models daily, this value confirms that in addition to the Compliance with the production plan set by the assembly coordinator, each batch of M4 corresponding to 30 cars can be assembled in approximately one week and one day, systematically satisfying the demand of the national market. The data from the investigative work highlight the need to provide a statistical tool that guides efficiently and sustainably in the short, medium and long term the planning of production in the assembly area of the company Ciato Cía. Ltda., In order to generate efficient management of resources in a vehicle assembly company.