Abstract:In order to deal with the impact of uncertain factors on the progress of multi-projects better, this paper presents a risk-oriented capacity constraint buffer sizing method. The effects of multiple attributes such as activity complexity, activity flexibility, resource tightness and risk propagation hazard were comprehensively considered in the buffer size determination process, to make the buffer size more consistent with the actual needs of large-scale scientific research projects. Finally, the effectiveness of the proposed method is verified by simulation experiment. The results show that compared with the traditional buffer setting method, the proposed method can obtain more stable project plan and have higher scheduling efficiency.