Abstract: This study aimed to discuss important factors such as reliability, material and artificial intelligence in realizing the vehicle reuse concept. This study also focused on developing artificial neural network application to predict the critical stress life of a body-in-white car door so that the optimal reusability can be identified. Using the Proton Perdana body-in-white car door, the component was analyzed using pre-post software and optimized using artificial neural network. As a conclusion, reliability, material and artificial intelligence are important factors in initializing vehicle reuse concept. The optimization result showed that artificial neural network application produced good reliability of the proposed reuse component. This indicates that artificial neural network can be used as an optimization tool in reuse development.