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In the design of automotive structural components is common scaling of the data for the "worst case", i.e. a condition of the component of least resistance (stress) and maximum load conditions applied (strength). However, in a real situation, it is not possible to determine with absolute certainty these amounts due to the random nature of the parameters involved. Thus, this design should be treated in a probabilistic manner, where the parameters involved could be considered as random variables, and the project could be qualified for a desired condition of reliability. This paper presents a proposed process (flowchart) for performing computational experiments for reliability analysis in automotive structural components regarding stochastic conditions of involved parameters. The process showed itself as able to identify the most adequate method of predicting reliability to solve problems of stress -strength interference in a design of structural automotive component.