Optimal Model of Resource Planning for Collaborative Logistics Network Considering Robust Constraints
被引:0
作者:
Xu Xiaofeng
论文数: 0引用数: 0
h-index: 0
机构:
China Univ Petr, Coll Econ & Management, Qingdao 266555, Peoples R ChinaChina Univ Petr, Coll Econ & Management, Qingdao 266555, Peoples R China
Xu Xiaofeng
[1
]
Zhao Jinlou
论文数: 0引用数: 0
h-index: 0
机构:
Harbin Engn Univ, Shipbuilding Ind Management Res Inst, Harbin 150001, Peoples R ChinaChina Univ Petr, Coll Econ & Management, Qingdao 266555, Peoples R China
Zhao Jinlou
[2
]
Song Jiekun
论文数: 0引用数: 0
h-index: 0
机构:
China Univ Petr, Coll Econ & Management, Qingdao 266555, Peoples R ChinaChina Univ Petr, Coll Econ & Management, Qingdao 266555, Peoples R China
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
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.