Since the globalization, the automotive competition is growing every day, and automotive products (vehicles and components) are often developed in one country though it's made, used and applied in other markets. The operating conditions such as height, climate, topography, customer perception and other variables are often different from one market to another and could influence on the products reliability.
If the market operating conditions are not considered in the vehicle development phase, the product may not fully perform its intended function over useful life period, and also may experience an excessive level of field complaints and/or failure modes specific to those markets and also damage the image of the brand. Therefore it is necessary to predict the export products reliability and based on the reliability data to use as lessons learned for future projects in order to fulfill the global market requirements or at least fulfill the requirements of quality from each country that imports the vehicles.
Therefore the main objective of this study is to develop a model to describe the export product behavior and predict its reliability in the field. The model considers the use of warranty claims and also uses the data regarding the vehicles which did not have any claim under the warranty period. Based on the estimative of reliability for the exported vehicle and also their subsystems, its proposed a model to analyze and detect differences between reliability and so to use such data on future global projects. The model compares the reliability between Brazil, Mexico and South Africa.