Optimal Model of Resource Planning for Collaborative Logistics Network Considering Robust Constraints

被引:0
作者
Xu Xiaofeng [1 ]
Zhao Jinlou [2 ]
Song Jiekun [1 ]
机构
[1] China Univ Petr, Coll Econ & Management, Qingdao 266555, Peoples R China
[2] Harbin Engn Univ, Shipbuilding Ind Management Res Inst, Harbin 150001, Peoples R China
来源
MEMS, NANO AND SMART SYSTEMS, PTS 1-6 | 2012年 / 403-408卷
基金
中国国家自然科学基金;
关键词
Collaborative logistics network; Robustness constraints; Uncertain; Optimal control; DESIGN;
D O I
10.4028/www.scientific.net/AMR.403-408.3642
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Uncertainty factors which influence the resource plan for collaborative logistics network, is the completely uncertain problem that parameter status and probability distribution are unknown, but traditional plan methods can't ensure the robustness of plan implementation. Based on robust optimal control, the paper carries on simulation about uncertain parameters with Monte Carlo method, and proposes a expected model of robust restraint, the robustness constrains realizes to contract the feasible region and improve robustness of model. Finally, The simulation results illustrate the validity of the improved model.
引用
收藏
页码:3642 / +
页数:2
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