Reliability of vehicles is characterized not only by the quality of production but also by the quality of subsequent maintenance. In this paper, we consider the possible spare parts logistics risks, as they have a huge influence on vehicles’ maintenance. One of the widespread methods to analyze the reliability of complex systems is Fault Tree Analysis (FTA). To identify and systematize all possible risks in spare parts logistics, we have built the Problem Tree. For managing identified risks, we propose a conceptual scheme of an intelligent system. In the framework of this paper, we describe one of the modules that make up this intelligent system. The proposed software module will help to choose the spare parts’ suppliers taking into account their reliability from the logistical point of view. It was tested with the use of real data from an automotive manufacturer.
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