Análise dos tempos entre chegadas de lotes em uma indústria alimentícia.

In general, the identification of probability distributions for time between arrivals and the covariates that affect them, get a superficial treatment in papers on production engineering. The main goal of this paper is to analyze the data on the time between arrivals for batches at the quality control department in a food company. A Weibull distribution, with two parameters, was used in the statistical modeling - a quantitative approach. Scale and shape was estimated by the Maximum Likelihood Method. A regression Weibull model was considered to evaluate inferences for the mean and median times between arrivals and to detect important factors affecting the variability in data sets. Considering some covariates, the Weibull distribution was found to have a good fit for the data. These results allow for a more reliable modeling of the quality control department for discrete event simulation. [ABSTRACT FROM AUTHOR]