具有遗憾值约束的鲁棒物流集散点优化模型研究

Research on Logistics Center Optimization Model with Regret Value

摘要: 本文在现状调研和发展需求分析的基础上，针对物流系统内部运输成本较大和商品流通效率较低的问题，应用具有遗憾值约束的不确定鲁棒优化模型，在已设置集散点的区域内进行该区域下物流集散点优化研究。研究结果显示，不确定鲁棒优化模型适用于物流集散点的高效率利用，可以给出合理的集散点设置的建议。

Abstract: Based on the situation investigation and the development demand analysis, aiming to solve the problem which is concerned with the large logistics system internal transportation cost and the low efficiency of commodity circulation, the paper proposes an uncertain robust optimization model with regret value enabling company to minimize their cost with stability. The model uses the information on set logistic center for optimization. The results show that the uncertain robust optimization model is suitable for the high utilization of logistics center and can give reasonable proposals.