Quality assurance of the production process parameters with help of statistical methods in the automotive industry using the Monte-Carlo method

Abstract

The production processes, or their effectiveness is influenced and determined by the process parameters of the individual processes, the result of which will be given by the characteristics of the finished product, and thereby (also) sold to the customer, so to speak. However, in order to be effective, it is worth predicting the expected result in the light of experience, or in the knowledge of customer requirements. An essential condition for effective forecasting, i.e. ensuring quality at the expected level, is not only to know it well, but also to be proficient in the applied (production) technology, the operation of the machines, as well as how changes in individual parameters induce the result (finished product), i.e. how the data are related to each other, how they correlate with each other. In the following, I will talk about the specific production area, as well as the related technology, which was the subject of the investigation. This is followed by method
and material. And as a result of all this, I will explain the essence of the method in the light of the circumstances of the present use.