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Within the evolution of components in the automotive industry, several tools for development and optimization are being applied increasingly. Costs and performance parameters are then improved in such high rate that often the process limits are exceeded. In several designs these improvements are achieved through nominal/deterministic values for product properties and usage in its lifecycle, neglecting the fact that there is an inherent uncertainty. Several optimum solutions are not assured once a variation in input parameters for objective function is considered. Probabilistic tools may be applied in order to establish the link among such parameters and their expected variation, enabling alternative approaches for product development in an integrated way. Different solutions can be found once the uncertainty of process or usage is considered.