Supplier selection problem for multiple projects with uncertain demand and project life cycles

This study investigates a multi-project, multi-period, multi-factory and multi-objective supplier selection problem with project life cycles and demand uncertainty. For this problem, we establish a multi-stage mixed integer stochastic programming model with three objectives (i.e., the procurement cost, number of quality defects and delayed delivery quantity). An adapted chaos optimization algorithm based on a maximum similarity method is developed to solve the model. The effectiveness of our solutions is validated by the real data from the auto industry.