Many projects are executed in uncertain environment instead of stochastic environment considering the uniqueness of project, where historical data is not enough. In this paper, we explored developing project schedule with solution robustness in uncertain environment. Based on uncertainty theory, we considered logistics project and built an uncertain model for robust project scheduling. Then we made effort to transform the model to a crisp one. Relying on 99-method and SA, we designed an intelligent algorithms. After that, a numerical experiment was used to execute our algorithm. For future works, robust project scheduling coping with disruption caused by uncertain resource availability is interesting and challenging.