OPTIMIZACIÓN DE LA PRODUCCIÓN MEDIANTE ANÁLISIS AUTOMATIZADO DE DATOS

Abstract

This research is born to obtain a better analysis of the different options that a company must modify the production plan based on the parts it will have available for the data being analyzed. Production optimization is essential in a highly competitive business environment, as making precise decisions quickly is crucial to impacting the company's production. In this case, an experimental research methodology was used because we had to modify the system's independent variables (parts, stock, production plan) to test our data flow and observe what happened with the dependent variables (actual production). To achieve this optimization, the development of an automated data flow is proposed, which requires three fundamental inputs: the list of parts by catalogue or the Bill of Materials (BoM), the parts that we know will not be in stock, and finally, the monthly production plan. In the end, the flow will return to us which catalogues/products we can produce. The results obtained indicate that the use of an automated data analysis system allows the company to make more agile decisions while optimizing production.