RESUMEN
ABSTRACT: The objective of this research was to use the modeling and computer simulation to support decision makers, aiming to increase the productive capacity of the agro-industry of LaticínioFunarbe. Specifically, it has modeled the current yoghurt production sector for simulation that enables it to meet the new demand. The Arena 14.7 simulation software was used to conduct the modeling. To validate the model, the output of yoghurt production collected at the factory for three months was compared with the output from the simulated computational model. Two indicators were established to perform analyzes of four different scenarios. The implemented model resulted in an increase in the production capacity of 5,000L.d-1 of yoghurt, corresponding to a production of yoghurts processed daily three times higher than the current production.
RESUMO: O objetivo deste trabalho foi usar a modelagem e a simulação computacional como ferramenta de suporte aos tomadores de decisão, visando a aumentar a produtividade da agroindústria Laticínio Funarbe. Especificamente, modelou o setor atual da produção de iogurte para elaboração de análises que possibilita atender à nova demanda. Para a modelagem utilizou-se o software de simulação Arena 14.7. Para a validação do modelo foram comparados os resultados de produção de iogurte coletados na fábrica durante três meses com os resultados simulados pelo modelo computacional. Foram estabelecidos dois indicadores para realizar análises de quatro cenários diferentes. Por meio do modelo implementado, obtivemos um aumento da capacidade produtiva de 5000L.d-1 de iogurte, que corresponde a uma produção de iogurtes processados, diariamente, três vezes maior do que a produção atual.
RESUMEN
BACKGROUND: The collective transportation system is essential to reduce the number of automobiles in the roads. Concerns exist related to quality, comfort and safety of bus driver's workstations. OBJECTIVE: The objective of this study was to improve the driver's workstation in the private collective transportation sector by analyzing ergonomic practices using the Ergonomic Work Analysis (EWA). The EWA was chosen because it seeks to evaluate the labor condition as it relates to the psychophysiological conditions of workers, it complies with regulatory standard 17 (NR17). METHODS: To identify driver concerns, interviews and questionnaires were administered. The workstation and worker routines were observed. RESULTS: The analysis revealed that the largest number of complaints related to noise, display light and location of the passenger identifier device. Drivers reported discomfort in the knees and lower back. CONCLUSION: Recommendations were made to improve the workstation and change the routine to minimize the discomfort and ergonomic risk factors.