Design optimization of resource combination for collaborative logistics network under uncertainty

2017 ◽  
Vol 56 ◽  
pp. 684-691 ◽  
Author(s):  
Xiao-Feng Xu ◽  
Jun Hao ◽  
Yi-Rui Deng ◽  
Yong Wang
Keyword(s):  
Design Optimization ◽  
Logistics Network ◽  
Collaborative Logistics ◽  
Resource Combination

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

2011 ◽  
Vol 403-408 ◽  
pp. 3642-3646
Author(s):  
Xiao Feng Xu ◽  
Jin Lou Zhao ◽  
Jie Kun Song
Keyword(s):  
Resource Planning ◽  
Feasible Region ◽  
Optimal Model ◽  
Plan Implementation ◽  
Uncertainty Factors ◽  
Logistics Network ◽  
Robust Optimal Control ◽  
Collaborative Logistics ◽  
Simulation Results ◽  
Improved Model

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.

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