Due to the structural complexity and multiple objectives of multi-echelon supply chain,the influence of uncertain factors on its overall performance could not be ignored.To estimate the impact of uncertain factors on its overall performance,the arena simulation and Kriging meta-modeling technology were integrated to construct Kriging mean and standard deviation meta-models of multiple performance response indicators based on the idea of robust parameter design.With the help of the constructed Kriging meta-models and satisfaction function method,a robust comprehensive satisfaction optimization design strategy based on Kriging meta-model was given.The influence of uncertain factors on the robust optimization solution was measured by the nonparametric bootstrap sampling method,which was compared with the robust optimization method based on polynomial model.Simulation re-sults show that the proposed method can effectively solve the robust optimization problem of multi-echelon supply chain with multi-ple performance response under uncertain parameters.The proposed method could ensure the supply chain system to achieve the desired optimal performance by minimizing the impact of uncertain factors on the supply chain performance,which provided a theo-retical basis and decision-making reference for the stable operation of multi-echelon supply chain.
关键词
多级供应链/Kriging元模型/arena仿真/稳健参数设计/满意度函数法
Key words
multi-echelon supply chain/Kriging meta-model/arena simulation/robust parameter design/desirability function approach
维普
万方数据