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.
参考文献
[1]
|
马盼. 基于DEA-Malmquist指数的我国物流上市公司全要素生产率研究[J]. 物流技术, 2015(24): 161-163, 170.
|
[2]
|
赵光辉. 我国物流信息化服务的经济效益评价[J]. 统计与决策, 2016(4): 63-64.
|
[3]
|
王保华, 何世伟. 不确定环境下物流中心选址鲁棒优化模型及其算法[J]. 交通运输系统工程与信息, 2009(2): 69-74.
|
[4]
|
朱佳翔, 谭清美, 蔡建飞, 邓淑芬. 基于鲁棒不确定性的应急物资配送策略[J]. 北京交通大学学报(社会科学版), 2016(1): 106-116.
|
[5]
|
马长青, 徐健. 基于情景集的鲁棒列车开行方案问题研究[J]. 物流技术, 2011(17): 135-137.
|