Emergency Materials Integrated Scheduling Based on Improved Ant Colony Algorithm

被引：0
|
作者：
Liu, Aijun [1 ]
Li, Hua [1 ]
Wang, Fang [1 ]
Chen, Qian [2 ]
Xie, Jianzhong [2 ]
机构：
[1] Xidian Univ, Sch Econ & Management, Xian 710071, Peoples R China
[2] Chongqing Univ, State Key Lab Mech Transmiss, Chongqing 400030, Peoples R China
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MANAGEMENT AND ENGINEERING (CME 2014) | 2014年
关键词：
D O I：
暂无
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
In view of the current research of emergency materials scheduling focusing too much on the "distribution centers-demand points" materials scheduling problems, this paper proposes a three-level integrated model of the supply points, distribution centers and demand points. Firstly, a selection model of distribution centers is developed to satisfy several constrained conditions in the case of multiple supply points. Secondly, for multiple demand points, a "distribution centers-demand points" logistic distribution scheduling model is built to meet several restricted conditions. Finally, an improved ant colony algorithm is designed to solve this optimization problem. After several experiments and calculations, the result shows the models and algorithm can solve the optimization problem of emergency materials integrated scheduling effectively.
引用
收藏
页码：314 / 321
页数：8
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