Focusing on the characteristics of automobile components industry, such as long-term supplier selection, large number of suppliers, various assessment index, complicated processes, and extremely strict assessment requirements, an improved supplier selection bilevel programming model for automobile components industry is established. With this model, the authors analyzed selected objectives from viewpoints of both suppliers and purchasers, assessed several selectied factors with upper and lower layer objective functions, and produced a optimal supplier selection method to achieve minimum purchasing costs. This model takes several constraints, such as technology, quality, quoted price, supply capacity and services of suppliers, into consideration, which makes the model very practical. A genetic-algorithms-based calculation method is designed, and the model is validated through a case study. Both the model and the method provide valuable support to supplier selection in the automobile components industry.