ANALYSIS OF PRODUCTION PROCESSES WITH DISCRETE EVENT SIMULATION: A STUDY OF THE DIMENSIONING OF THE RESOURCES NECESSARY FOR THE INTERNALIZATION OF AN INDUSTRIAL PROCESS

This article presents a study based on Discrete Event Simulation (DES), focusing on the analysis and reconfiguration of a production line in the automotive sector. The goal was to size the resources needed to internalize a previously outsourced coating process. Using the framework of [Montevechi et al. 2010], a validated computational model was built with real data and statistical replications. The simulation of different operational scenarios allowed us to compare indicators such as productivity, lead time and value added rate (VAR). Among the five simulated scenarios, the configuration with four internal lines presented the best results, with a 20.49% increase in production, a 33.17% reduction in lead time and a 60% increase in VAR. It is concluded that the DES is an effective tool to support strategic decisions in industrial contexts, contributing to greater control, efficiency and performance of the production chain.